{
  "data": {
    "a": {
      "slug": "elorian-glimpse",
      "name": "Glimpse",
      "vendor": "Elorian",
      "vendorUrl": "https://elorian.ai/models.html",
      "kind": "model",
      "category": "inference",
      "summary": "Glimpse is Elorian's visual reasoning model, released as a research preview on 16 October 2026. It takes text, images and video and returns text, through Elorian's own API and chat app and through OpenRouter.",
      "url": "https://www.anchorterminal.com/tools/elorian-glimpse",
      "markdownUrl": "https://www.anchorterminal.com/tools/elorian-glimpse.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/elorian-glimpse.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/elorian-glimpse.json",
      "dns": "elorian-glimpse.grade.anchorterminal.com",
      "license": "Closed model and service under the Elorian AI, Inc. terms of service. Weights not released.",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://openrouter.ai/api/v1",
      "packages": [],
      "auth": "api-key",
      "authNotes": "On the graded route, an OpenRouter bearer key, created after a browser sign-up and drawing on prepaid credit. Together dedicated deployments use a Together API key. Elorian's own console sits behind a sign-in. No scopes were found.",
      "pricing": "usage",
      "pricingNotes": "$0.60 per million input tokens and $3.00 per million output tokens, Elorian's published rates (launch post, 16 October 2026). On OpenRouter the top-up fee applies. Together lists dedicated endpoints with pricing on request. Elorian says Glimpse can be tried free on its own platform, and volume access is through sales.",
      "priceSummary": "from $0.60 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in OpenRouter's docs as read on 17 October 2026, in Elorian's launch post or on Together's model page (checked 2026-11-04).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-17"
      },
      "docsUrl": "https://openrouter.ai/elorian/glimpse",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "hosted",
        "model",
        "closed-source",
        "usage-priced",
        "prepaid",
        "multimodal",
        "video",
        "preview",
        "openai-compatible",
        "new"
      ],
      "lastRelease": "2026-10-16",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 36.7,
        "grade": "F",
        "agentReady": false,
        "rank": 1389,
        "ranked": true,
        "rankOf": 1524,
        "categoryRank": 46,
        "methodology": "0.8",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 20,
          "maintenance": 51,
          "payments": 38,
          "reliability": 23,
          "schema": 40,
          "security": 56,
          "transparency": 38
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "low",
          "date": "2026-11-04"
        },
        "negative": 0,
        "verdict": "Glimpse reads images and video at $0.60 input and $3.00 output per million tokens, through OpenRouter or a dedicated Together deployment. It is a research preview with no public Elorian docs, model card or status page, its context and tool support aren't stated on a readable first-hand page, and Elorian's privacy policy trains on free use by default.",
        "bestFor": "Visual question answering, video captioning and counting over images and video at a low per-token price, where a research preview reached through OpenRouter or Together is acceptable.",
        "strengths": [
          "Takes text, images and video and returns text, per Elorian's launch post and Together's model page",
          "$0.60 per million input tokens and $3.00 per million output tokens, published without a login",
          "OpenRouter documents Retry-After on 429 and 503, video input as `video_url` and per-key credit limits",
          "Available both through OpenRouter and as a dedicated Together deployment",
          "Elorian's own benchmark table puts it above GPT-6 Astra on four of twelve visual evaluations. Vendor-reported"
        ],
        "weaknesses": [
          "Labelled a research preview, with no public API docs, model card, changelog or deprecation policy from Elorian",
          "Context length, tool calling and structured output for Glimpse are not stated on any first-hand page we could read",
          "Elorian's privacy policy trains on Inputs and Outputs from free use by default, with an email opt-out",
          "Elorian's acceptable use policy bars publishing benchmark or performance information without its consent",
          "No status page from Elorian and no published rate limit for this model"
        ],
        "agentNotes": [
          "Call it through OpenRouter as `elorian/glimpse` at https://openrouter.ai/api/v1/chat/completions. Elorian's own API docs sit behind a console sign-in",
          "Send video as a `video_url` content part, as a public URL or a base64 data URL",
          "Set `max_tokens` yourself. Reasoning tokens bill as output, and visual reasoning spends many of them",
          "Honour Retry-After on 429 and 503, as OpenRouter's error reference documents",
          "Check counts and timestamps against the source image or video before acting on them"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "low",
            "grade": "F",
            "methodology": "0.8",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 36.7
          }
        ],
        "editorialScores": {
          "ergonomics": 20,
          "maintenance": 51,
          "payments": 38,
          "reliability": 23,
          "schema": 40,
          "security": 56,
          "transparency": 31
        },
        "provenanceScore": 45,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-04",
            "maintenance": "2026-11-04",
            "payments": "2026-11-04",
            "reliability": "2026-11-04",
            "schema": "2026-11-04",
            "security": "2026-11-04",
            "transparency": "2026-11-04"
          },
          "last": "2026-11-04",
          "lastMoved": "2026-11-13",
          "oldest": "2026-11-04",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "http": "curl https://openrouter.ai/api/v1/chat/completions \\\n  -H \"Authorization: Bearer $OPENROUTER_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"elorian/glimpse\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"How many open pliers are in this photo?\"},{\"type\":\"image_url\",\"image_url\":{\"url\":\"https://example.com/photo.jpg\"}}]}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/elorian-glimpse"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Glimpse input",
          "unit": "1m-tokens",
          "usd": 0.6
        },
        {
          "item": "Glimpse output",
          "unit": "1m-tokens",
          "usd": 3,
          "note": "Reasoning tokens are output."
        }
      ],
      "provenance": {
        "legalEntity": "Elorian AI, Inc.",
        "domain": "elorian.ai",
        "domainRegistered": "2025-12-03",
        "endpointOnVendorDomain": false,
        "terms": "https://platform.elorian.ai/terms",
        "privacy": "https://elorian.ai/privacy",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-11-04",
        "notes": [
          "The privacy policy and support page name Elorian AI, Inc., with EDPO as EU and UK representative, per the 17 October 2026 check.",
          "The graded route is OpenRouter's (openrouter.ai), served by Together, so it is not on Elorian's domain.",
          "elorian.ai/.well-known/security.txt returned 404 on 17 October 2026, and elorian.ai has no robots.txt (404 on 4 November 2026).",
          "platform.elorian.ai, which holds the terms and the console docs, answered robots.txt with HTTP 403 S3 AccessDenied on 17 October and 4 November 2026. This run reads that as a refusal, so the 17 October reading of the terms from the platform's script is struck.",
          "Elorian's acceptable use policy (19 October 2026) bars accessing the Services by unauthorised means such as scraping or crawling, so since 4 November 2026 we request nothing on elorian.ai beyond that policy and keep earlier readings as recorded.",
          "No status page or changelog found."
        ],
        "score": 45
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/elorian-glimpse.json",
      "live": {
        "slug": "elorian-glimpse",
        "probe": {
          "target": "https://openrouter.ai/api/v1",
          "method": "get",
          "lastAt": "2026-11-14T00:09:58.022134342Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 293,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 99.98,
          "p50ms24h": 180,
          "p95ms24h": 326,
          "samples24h": 239,
          "samples30d": 6660,
          "days": [
            {
              "date": "2026-10-17",
              "probes": 21,
              "ok": 21
            },
            {
              "date": "2026-10-18",
              "probes": 256,
              "ok": 256
            },
            {
              "date": "2026-10-19",
              "probes": 255,
              "ok": 255
            },
            {
              "date": "2026-10-20",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-21",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-22",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-23",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-24",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-10-25",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-26",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-27",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-28",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-10-29",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-30",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-31",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-11-01",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-11-02",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-11-03",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-11-04",
              "probes": 246,
              "ok": 246
            },
            {
              "date": "2026-11-05",
              "probes": 185,
              "ok": 185
            },
            {
              "date": "2026-11-06",
              "probes": 241,
              "ok": 241
            },
            {
              "date": "2026-11-07",
              "probes": 243,
              "ok": 243
            },
            {
              "date": "2026-11-08",
              "probes": 243,
              "ok": 243
            },
            {
              "date": "2026-11-09",
              "probes": 243,
              "ok": 243
            },
            {
              "date": "2026-11-10",
              "probes": 244,
              "ok": 244
            },
            {
              "date": "2026-11-11",
              "probes": 244,
              "ok": 244
            },
            {
              "date": "2026-11-12",
              "probes": 245,
              "ok": 244
            },
            {
              "date": "2026-11-13",
              "probes": 238,
              "ok": 238
            },
            {
              "date": "2026-11-14",
              "probes": 2,
              "ok": 2
            }
          ],
          "since": "2026-10-17T00:00:00Z"
        },
        "securityTxt": {
          "url": "https://elorian.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-13T16:15:53.712164805Z"
        },
        "domain": {
          "domain": "elorian.ai",
          "registered": "2025-12-03",
          "source": "https://rdap.identitydigital.services/rdap/domain/elorian.ai",
          "checkedAt": "2026-11-08T15:04:18.634811613Z"
        },
        "pages": [
          {
            "url": "https://elorian.ai/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-11-13T18:19:17.994729657Z",
            "changedAt": "2026-11-04T08:23:25.754444261Z",
            "fingerprint": "bfdfaa0be214"
          },
          {
            "url": "https://platform.elorian.ai/terms",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-11-13T18:27:12.030658418Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e3b0c44298fc"
          }
        ],
        "models": {
          "elorian/glimpse": {
            "openrouterId": "elorian/glimpse",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "image",
              "text",
              "video"
            ],
            "promptCaching": true,
            "contextTokens": 262144,
            "maxOutput": 256000,
            "checkedAt": "2026-11-13T23:49:32.552484543Z"
          }
        },
        "updatedAt": "2026-11-14T00:09:58.022134342Z"
      },
      "streak": {
        "days": 28,
        "from": "2026-10-17",
        "sinceWatching": true,
        "best": 28
      }
    },
    "answer": "Gemini 4 Hydrogen scores 64.9 (B) on agent readiness against Glimpse's 36.7 (F), and leads in 6 of 7 scored categories. Glimpse leads on security \u0026 auth.",
    "b": {
      "slug": "gemini-4-hydrogen",
      "name": "Gemini 4 Hydrogen",
      "vendor": "Google",
      "vendorUrl": "https://ai.google.dev",
      "kind": "model",
      "category": "inference",
      "summary": "Gemini 4 Hydrogen is Google's fast, lower-cost Gemini 4 model for everyday coding and agent work, on every tier of the Gemini API with a 1,048,576-token limit shared between input and output.",
      "url": "https://www.anchorterminal.com/tools/gemini-4-hydrogen",
      "markdownUrl": "https://www.anchorterminal.com/tools/gemini-4-hydrogen.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gemini-4-hydrogen.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gemini-4-hydrogen.json",
      "dns": "gemini-4-hydrogen.grade.anchorterminal.com",
      "license": "Closed model, used through the Gemini API and Google's apps under Google's terms",
      "transports": [],
      "remoteUrl": "https://generativelanguage.googleapis.com/v1beta",
      "packages": [],
      "auth": "api-key",
      "authNotes": "An `x-goog-api-key` from AI Studio. Google's announcement puts Hydrogen on all tiers of AI Studio and the Gemini API, so a free-tier key with no billing works, per that post and the Gemini API listing's reading of the free tier. Paid Google AI Pro and Ultra subscribers can use it in Antigravity. On Google Cloud it's `gemini-4-hydrogen` on the Agent Platform, with Cloud credentials.",
      "pricing": "usage",
      "pricingNotes": "Google's announcement gives $1.50 per million input tokens and $7.50 output, flat across the whole 1M-token window, and names no introductory period, cached-input or batch price. Every processed token is billed, thinking included. Hydrogen's free-tier limits are on the Gemini API pricing page, now at aistudio.google.com, not yet read (checked 2026-11-13).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No machine payment. Paid use needs billing on a Cloud project, per the Gemini API listing (checked 2026-11-13).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-11-13"
      },
      "docsUrl": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/guides/gemini-4-hydrogen",
      "llmsTxt": "https://ai.google.dev/gemini-api/docs/llms.txt",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "multimodal",
        "reasoning",
        "long-context",
        "tool-calling",
        "usage-priced",
        "free-tier",
        "closed-source",
        "llms-txt",
        "new"
      ],
      "lastRelease": "2026-11-12",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 64.9,
        "grade": "B",
        "agentReady": false,
        "rank": 546,
        "ranked": true,
        "rankOf": 1524,
        "categoryRank": 23,
        "methodology": "0.8",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 90,
          "maintenance": 85,
          "payments": 40,
          "reliability": 45,
          "schema": 85,
          "security": 50,
          "transparency": 72
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-13"
        },
        "negative": 0,
        "verdict": "Google's fast Gemini 4 model, on every tier of the Gemini API including the free one, at $1.50 and $7.50 per million tokens with a 1M-token budget, four thinking levels, function calling and structured output. Sampling parameters are ignored, explicit caching isn't supported, it's a short-term release with 45 days' notice on Cloud, and the benchmarks are Google's.",
        "bestFor": "Agents doing everyday coding, tool calls and document work at volume on the Gemini API, including ones that need to start on a free key, or as the executor beside Carbon or Argon.",
        "strengths": [
          "On the free tier of the Gemini API, unlike Carbon and Argon",
          "$1.50 input and $7.50 output per million tokens, flat across the 1M-token window",
          "1,048,576 tokens shared between input and output, with long decodes to the full budget",
          "Four thinking levels, function calling, structured output, code execution, grounding and computer use",
          "The same API, keys and SDKs as Argon and Carbon, plus an OpenAI-compatible surface, so switching is a model ID"
        ],
        "weaknesses": [
          "temperature, top_p and top_k are ignored, and thinking_budget, MINIMAL, penalties and extra candidates return a 400",
          "No explicit context caching or prefilled model turns, and strict thought-signature rules on parallel calls",
          "A short-term release, with a minimum of 45 days' notice before retirement on Google Cloud",
          "Free-tier content is used to improve Google's products and may be read by people",
          "Benchmark figures are Google's own, and the model card says jailbreak resistance is still being improved"
        ],
        "agentNotes": [
          "Call generateContent at https://generativelanguage.googleapis.com/v1beta with model gemini-4-hydrogen and an x-goog-api-key",
          "Set thinking_level instead of thinking_budget; the default is HIGH, so set MEDIUM to keep 3.8 Flash's latency",
          "Don't send temperature, top_p, top_k, penalties or candidate_count above 1",
          "Pass every thought_signature back in its original part, on the first parallel functionCall only, or the call returns a 400",
          "Put static content of 4,096 tokens or more first so implicit caching applies, and keep confidential prompts off the free tier"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.8",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 64.9
          }
        ],
        "editorialScores": {
          "ergonomics": 90,
          "maintenance": 85,
          "payments": 40,
          "reliability": 45,
          "schema": 85,
          "security": 50,
          "transparency": 55
        },
        "provenanceScore": 89,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-13",
            "maintenance": "2026-11-13",
            "payments": "2026-11-13",
            "reliability": "2026-11-13",
            "schema": "2026-11-13",
            "security": "2026-11-13",
            "transparency": "2026-11-13"
          },
          "last": "2026-11-13",
          "oldest": "2026-11-13",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "http": "curl \"https://generativelanguage.googleapis.com/v1beta/models/gemini-4-hydrogen:generateContent\" \\\n  -H \"x-goog-api-key: $GEMINI_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"contents\":[{\"parts\":[{\"text\":\"hello\"}]}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/gemini-4-hydrogen"
      },
      "sameCompany": [
        "gemini-4-carbon",
        "vertex-ai",
        "embeddinggemma-2",
        "embeddinggemma-300m",
        "gemini-embedding",
        "vertex-ai-tuning",
        "cloud-run-gpus",
        "google-model-armor",
        "shieldgemma",
        "google-imagen",
        "gemini-omni-1-2-flash",
        "google-veo",
        "google-lyria",
        "google-speech-to-text",
        "google-cloud-tts",
        "gemini-live",
        "google-adk",
        "google-memory-bank",
        "google-secret-manager",
        "google-cloud-document-ai",
        "google-weather-api",
        "chrome-devtools-mcp",
        "puppeteer",
        "mcp-toolbox-databases",
        "google-maps-platform",
        "google-cloud-translation",
        "google-calendar-api",
        "firebase-cloud-messaging",
        "google-cloud-storage",
        "google-drive-api",
        "gemini-enterprise",
        "gemini-decision-1",
        "antigravity-cli",
        "gemini-cli",
        "harness2",
        "jules",
        "gemini-spark",
        "google-search-console",
        "google-ads-api",
        "google-forms",
        "google-sheets-api",
        "gmail-api",
        "google-people-api",
        "diffusiongemma-26b-a4b-it",
        "gemma-4-12b-it",
        "gemma-4-26b-a4b-it",
        "gemma-4-31b-it",
        "gemma-4-e2b-it",
        "gemma-4-e4b-it",
        "virustotal"
      ],
      "sameModel": [
        "gemini-api"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "Gemini 4 Hydrogen input",
          "unit": "1m-tokens",
          "usd": 1.5,
          "note": "Flat across the 1M window"
        },
        {
          "item": "Gemini 4 Hydrogen output",
          "unit": "1m-tokens",
          "usd": 7.5,
          "note": "Thinking tokens included"
        }
      ],
      "provenance": {
        "legalEntity": "Google LLC",
        "domain": "google.com",
        "domainRegistered": "1997-09-15",
        "domainNote": "The endpoint is on googleapis.com, Google's API domain. google.com was registered in 1997.",
        "endpointOnVendorDomain": true,
        "terms": "https://ai.google.dev/gemini-api/terms",
        "privacy": "https://policies.google.com/privacy",
        "statusPage": "https://aistudio.google.com/status",
        "changelog": "https://ai.google.dev/gemini-api/docs/changelog",
        "securityTxt": "valid",
        "checked": "2026-11-13",
        "score": 89
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/gemini-4-hydrogen.json",
      "live": {
        "slug": "gemini-4-hydrogen",
        "probe": {
          "target": "https://generativelanguage.googleapis.com/v1beta",
          "method": "get",
          "lastAt": "2026-11-14T00:10:00.466409633Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 30,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 33,
          "p95ms24h": 85,
          "samples24h": 34,
          "samples30d": 34,
          "days": [
            {
              "date": "2026-11-13",
              "probes": 32,
              "ok": 32
            },
            {
              "date": "2026-11-14",
              "probes": 2,
              "ok": 2
            }
          ],
          "since": "2026-11-13T20:58:02.850712558Z"
        },
        "vendorStatus": {
          "page": "https://aistudio.google.com/status",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-11-13T23:54:32.148379631Z"
        },
        "updatedAt": "2026-11-14T00:10:00.466409633Z"
      },
      "streak": {
        "days": 1,
        "from": "2026-11-13",
        "sinceWatching": true,
        "best": 1
      }
    },
    "edges": [
      {
        "by": 70,
        "category": "ergonomics",
        "leads": "gemini-4-hydrogen",
        "name": "Agent ergonomics",
        "reasons": {
          "a": "Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). On 17 October the tool, `tool_choice`, `response_format`, `structured_outputs`, cached-price, context, output-limit and batch readings for this model all came from OpenRouter's endpoints API, which this run doesn't use, so they are struck. No readable first-hand page states them today. Elorian's docs sit on a host that refuses our crawler, and Together's model page says only text, image and video in and text out on a dedicated deployment. Tool use (0 of 20), structured output (0 of 15), prompt caching (0 of 15), context length (0 of 15), batch (0 of 10). OpenRouter's SDKs in TypeScript, Python and Go, and any OpenAI client works (10 of 10, per the 17 October check, not re-read on 4 November 2026). OpenRouter's documented error codes with `limit_source` and remedy hints, nothing specific to video or image limits (10 of 15, per the 17 October check, not re-read on 4 November 2026). 0 + 0 + 0 + 0 + 0 + 10 + 10 = 20.",
          "b": "Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Function calling, with forced calls by FunctionCallingConfig on the API (20). Structured output to a response_schema, listed as supported on the Cloud model page (13 of 15). Implicit caching on prefixes of 4,096 tokens or more with durable caching on by default and explicit caches not supported, per the Cloud model page; the announcement names no cached-input price (12 of 15). 1,048,576 tokens shared between input and output, with background long decode up to 1M (15). Batch at half price on the platform (10). Python and JavaScript SDKs, and an OpenAI-compatible Chat Completions surface (10). Error codes with backoff guidance (10 of 15). 20 + 13 + 12 + 15 + 10 + 10 + 10 = 90."
        },
        "scores": {
          "a": 20,
          "b": 90
        }
      },
      {
        "by": 45,
        "category": "schema",
        "leads": "gemini-4-hydrogen",
        "name": "Schema \u0026 documentation",
        "reasons": {
          "a": "Model reading. Elorian publishes no API reference, model card or llms.txt in public. Its docs sit at platform.elorian.ai/docs, a host whose robots.txt answers access denied. The 17 October contract reading rested on OpenRouter's OpenAPI-documented chat endpoint, with no recorded visible download link on a host now paused, and on the parameter list from OpenRouter's endpoints API, both struck (0 of 25). OpenRouter's llms.txt and Markdown docs, including video input (10, per the 17 October check, not re-read on 4 November 2026). The launch post and Together's model page name the jobs (visual search, video captioning, dense counting, robotics planning) and the post states limits (token cost, no action outputs yet), but nothing says when not to use it or how video is sampled (6 of 20). Typed parameters for OpenRouter's chat endpoint in its API reference, with no reasoning effort levels documented for this model (10 of 15, per the 17 October check, not re-read on 4 November 2026; the 17 October `tool_choice` reading came from the struck endpoints API). OpenRouter's examples and error reference, with no Glimpse-specific examples or limits on video length or image count (7 of 15). OpenRouter's dated changelog, with no changelog from Elorian (7 of 15, held as partly met; the dated canonical slug came from the struck endpoints API). 0 + 10 + 6 + 10 + 7 + 7 = 40.",
          "b": "Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Discovery document for GenerateContent (20 of 25). llms.txt with Markdown twins (10). The Cloud developer guide says what Hydrogen takes, every parameter that's ignored or returns 400, the thought-signature rules and how to migrate from Gemini 3.8 Flash, though it doesn't document forced calls (15 of 20). Structured output to a JSON Schema with some keywords not enforced (10 of 15). Examples and an errors page (15). Dated changelog and model versions (15). 20 + 10 + 15 + 10 + 15 + 15 = 85."
        },
        "scores": {
          "a": 40,
          "b": 85
        }
      },
      {
        "by": 34,
        "category": "maintenance",
        "leads": "gemini-4-hydrogen",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "Model reading. Announced on 16 October 2026, 19 days before 4 November, and still labelled a research preview on Together's model page that day (30). One release, no history of versions or retirements and no deprecation notice period (3 of 20). Elorian's support page says there is no support queue, and channels are email and a Discord server, not tested (6 of 25, per the 17 October check, not re-read on 4 November 2026; the terms' no-support clause came from the struck script reading). No official SDK from Elorian. OpenRouter's SDKs are current (8 of 15). No package or CI of Elorian's to read. OpenRouter's SDK repositories run CI (4 of 10). 30 + 3 + 6 + 8 + 4 = 51.",
          "b": "Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released on 12 November 2026, recorded in Google Cloud's release notes; the Gemini API changelog, last updated 30 October, has no entry for it yet (30). Google Cloud states a minimum of 45 days' notice before Hydrogen is retired, short and stated for Cloud only; the Gemini API's deprecations give earliest dates with no stated minimum (6 of 12). Shutdowns in the last 90 days kept to their table (4 of 8). Dated changelog (15). SDK replies not sampled (5 of 10). Current SDKs; the developer guide names the minimum google-genai, @google/genai, Go and Java versions (15). Runtimes stated (10). 30 + 6 + 4 + 15 + 5 + 15 + 10 = 85."
        },
        "scores": {
          "a": 51,
          "b": 85
        }
      },
      {
        "by": 34,
        "category": "transparency",
        "leads": "gemini-4-hydrogen",
        "name": "Transparency \u0026 trust",
        "reasons": {
          "a": "Closed model with weights not released and the open-weight base model unnamed. Elorian's terms sit on platform.elorian.ai, whose robots.txt answers access denied, so they were not read; published terms on a refusing host keep the closed-service value, held at 13 of 30. The privacy policy says Elorian trains on submitted content from free use and gives no retention periods, and the acceptable use policy, updated 19 October 2026, is still titled Privacy Policy and still carries a drafting comment from a terms outline in its markup (10 of 30, held as partly met; the 17 October comparison with the terms rested on the struck script reading). No deprecation policy or dated notices (0 of 20). Services hosted in the United States and subprocessors named by category only, and OpenRouter shows Together as the provider with its data policy (8 of 20). 13 + 10 + 0 + 8 = 31.",
          "b": "Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service with clear terms, SDKs Apache-2.0 (15). Free-tier content is used to improve products, paid-tier content isn't, abuse retention has no number, and request storage is on by default for new paid projects; the statements agree with each other (20 of 30). Deprecations table, and a stated 45-day minimum on Cloud (15 of 20). Data may be cached anywhere Google has facilities; no subprocessor list checked (5 of 20). A DeepMind model card gives a March 2026 knowledge cutoff, automated safety results and Frontier Safety Framework outcomes, with the full safety report marked coming soon. Every benchmark figure is Google's own. 15 + 20 + 15 + 5 = 55."
        },
        "scores": {
          "a": 38,
          "b": 72
        }
      },
      {
        "by": 22,
        "category": "reliability",
        "leads": "gemini-4-hydrogen",
        "name": "Reliability",
        "reasons": {
          "a": "Hosted lines, read on the OpenRouter route. OpenRouter's status host refuses our crawler in robots.txt, so the 17 October reading of it is struck, and Elorian has no status page found (0 of 20). No 90-day incident record could be read. The 17 October uptime figures came from OpenRouter's endpoints API, a JSON data API this run doesn't use, and are struck (5). OpenRouter's limits page documents credit, budget and rate limits and a key endpoint that reports what's left, but sets no request cap on paid models, and no limit for Glimpse was found (8 of 15, per the 17 October check, not re-read on 4 November 2026, openrouter.ai paused on its terms). The errors page documents Retry-After on 429 and 503 and on 402 in-flight budget errors, and says the official SDKs honour it, with no safe-retry guidance or idempotency keys recorded (10, Retry-After alone, the value this run gives backoff or Retry-After guidance by itself; per the 17 October check, not re-read on 4 November 2026). No SLA from Elorian or for this endpoint (0). Elorian and Together label Glimpse a research preview (0). 0 + 5 + 8 + 10 + 0 + 0 = 23.",
          "b": "Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Rate-limit tiers and spend limits published, per-model limits in AI Studio (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA (0). Google Cloud's release notes and model page call Hydrogen generally available, a short-term release, under the same model ID; the Gemini API pages read don't name a stage, so full marks rest on Cloud's statement (10, a judgement call; Carbon, with no stage stated anywhere, got 5). 10 + 5 + 5 + 15 + 0 + 10 = 45."
        },
        "scores": {
          "a": 23,
          "b": 45
        }
      },
      {
        "by": 6,
        "category": "security",
        "leads": "elorian-glimpse",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "Model reading. OpenRouter bearer keys with per-key credit limits, management keys and OAuth PKCE, no permission scopes (25 of 30, per the 17 October check, not re-read on 4 November 2026). Training on API data on this route is off according to OpenRouter's policy display for Together (no training, no prompt retention). Elorian's privacy policy trains on Inputs and Outputs from free access by default and says different terms may apply to paid and API use. The 17 October reading of Elorian's terms came from a script on a host that now refuses our crawler and is struck. Whether Elorian receives prompts from the Together deployment was not established (8 of 20, held as partly met). OpenRouter's zero-retention filter and Together's no-retention flag, against Elorian's retention 'for as long as reasonably necessary' with no period (8 of 15). OpenRouter's per-generation activity records for the operator (10 of 15). OpenRouter's security.txt was valid at its last check. Elorian has no security.txt, disclosure policy, bug bounty or certification found (5 of 20, held as partly met). 25 + 8 + 8 + 10 + 5 = 56. Readings of OpenRouter and Elorian pages per the 17 October check, not re-read on 4 November 2026.",
          "b": "Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Keys bound to a service account and restricted to the Gemini API, with no scopes and a token accepted in the URL (15 of 30, the platform's deduction). Hydrogen is on the free tier, where Google's terms say content is used to improve products and may be read by humans; paid-tier content isn't (10 of 20, the platform's reading; Carbon, paid tier only, got 15). Abuse retention has no number and new paid projects store requests by default since 26 October; Google's prompt-injection figure (2.3 times more resilient on Gray Swan's benchmark) is its own, and the model card says jailbreak resistance is still being improved (5 of 15). Request logs for billed projects (15). security.txt and a reward programme, no certification naming the API (5 of 20). 15 + 10 + 5 + 15 + 5 = 50."
        },
        "scores": {
          "a": 56,
          "b": 50
        }
      }
    ],
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Elorian",
        "b": "Google",
        "name": "Vendor"
      },
      {
        "a": "https://openrouter.ai/api/v1",
        "b": "https://generativelanguage.googleapis.com/v1beta",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Closed model and service under the Elorian AI, Inc. terms of service. Weights not released.",
        "b": "Closed model, used through the Gemini API and Google's apps under Google's terms",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-16",
        "b": "2026-11-12",
        "name": "Last release"
      },
      {
        "a": "couldn't be read",
        "b": "2026-04-28",
        "name": "Terms last updated"
      },
      {
        "a": "2026-10-12",
        "b": "2026-10-01",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes, with an opt-out",
        "b": "yes",
        "name": "Customer content may train models"
      },
      {
        "a": "couldn't be read",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "couldn't be read",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "2.5/5 (4)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Gemini 4 Hydrogen scores 64.9 (B) on agent readiness against Glimpse's 36.7 (F), and leads in 6 of 7 scored categories. Glimpse leads on security \u0026 auth.",
        "question": "Which is better for AI agents, Glimpse or Gemini 4 Hydrogen?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Glimpse and Gemini 4 Hydrogen need an API key?"
      },
      {
        "answer": "Yes. Glimpse has a hosted endpoint at https://openrouter.ai/api/v1 and Gemini 4 Hydrogen at https://generativelanguage.googleapis.com/v1beta.",
        "question": "Can an agent call Glimpse and Gemini 4 Hydrogen without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Security \u0026 auth, 56 against 50"
        ],
        "also": null,
        "goodFor": "Visual question answering, video captioning and counting over images and video at a low per-token price, where a research preview reached through OpenRouter or Together is acceptable.",
        "slug": "elorian-glimpse",
        "watchFor": "Labelled a research preview, with no public API docs, model card, changelog or deprecation policy from Elorian"
      },
      {
        "aheadOn": [
          "Reliability, 45 against 23",
          "Schema \u0026 documentation, 85 against 40",
          "Agent ergonomics, 90 against 20",
          "Maintenance \u0026 community, 85 against 51",
          "Transparency \u0026 trust, 72 against 38"
        ],
        "also": null,
        "goodFor": "Agents doing everyday coding, tool calls and document work at volume on the Gemini API, including ones that need to start on a free key, or as the executor beside Carbon or Argon.",
        "slug": "gemini-4-hydrogen",
        "watchFor": "temperature, top_p and top_k are ignored, and thinking_budget, MINIMAL, penalties and extra candidates return a 400"
      }
    ],
    "history": {
      "elorian-glimpse": [
        {
          "causes": [
            "method"
          ],
          "date": "2026-11-13",
          "delta": 1.6,
          "from": 35.1,
          "fromGrade": "F",
          "to": 36.7,
          "toGrade": "F"
        },
        {
          "causes": [
            "correction"
          ],
          "date": "2026-11-04",
          "delta": -13.7,
          "from": 48.8,
          "fromGrade": "D",
          "to": 35.1,
          "toGrade": "F"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-30",
          "delta": -0.2,
          "from": 49,
          "fromGrade": "D",
          "to": 48.8,
          "toGrade": "D"
        }
      ],
      "gemini-4-hydrogen": null
    },
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-elorian-glimpse.json",
        "title": "Amazon Bedrock vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-gemini-4-hydrogen.json",
        "title": "Amazon Bedrock vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-elorian-glimpse.json",
        "title": "Claude API vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-4-hydrogen.json",
        "title": "Claude API vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-elorian-glimpse.json",
        "title": "Antseed vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-gemini-4-hydrogen.json",
        "title": "Antseed vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-elorian-glimpse.json",
        "title": "Azure OpenAI in Foundry Models vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-gemini-4-hydrogen.json",
        "title": "Azure OpenAI in Foundry Models vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-elorian-glimpse.json",
        "title": "BlockRun.AI vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-4-hydrogen.json",
        "title": "BlockRun.AI vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-elorian-glimpse.json",
        "title": "Cerebras Inference vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-4-hydrogen.json",
        "title": "Cerebras Inference vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-elorian-glimpse.json",
        "title": "Claude Fable 5.2 vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-gemini-4-hydrogen.json",
        "title": "Claude Fable 5.2 vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-elorian-glimpse.json",
        "title": "Claude Mythos 5.2 vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-gemini-4-hydrogen.json",
        "title": "Claude Mythos 5.2 vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-elorian-glimpse.json",
        "title": "Cloudflare AI Gateway vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-gemini-4-hydrogen.json",
        "title": "Cloudflare AI Gateway vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-elorian-glimpse.json",
        "title": "Cloudflare Workers AI vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-4-hydrogen.json",
        "title": "Cloudflare Workers AI vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-elorian-glimpse.json",
        "title": "Cohere Chat API (Command models) vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-gemini-4-hydrogen.json",
        "title": "Cohere Chat API (Command models) vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-elorian-glimpse.json",
        "title": "DeepInfra vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-gemini-4-hydrogen.json",
        "title": "DeepInfra vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-elorian-glimpse.json",
        "title": "DeepSeek API vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-gemini-4-hydrogen.json",
        "title": "DeepSeek API vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-elorian-glimpse.json",
        "title": "Eden AI vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-gemini-4-hydrogen.json",
        "title": "Eden AI vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-fireworks-inference.json",
        "title": "Glimpse vs Fireworks AI Inference",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-fireworks-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-4-carbon.json",
        "title": "Glimpse vs Gemini 4 Carbon",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-4-carbon"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-api.json",
        "title": "Glimpse vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-groq.json",
        "title": "Glimpse vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-groq"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-hugging-face-inference-providers.json",
        "title": "Glimpse vs Hugging Face Inference Providers",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-hugging-face-inference-providers"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-hy4.json",
        "title": "Glimpse vs Tencent Hy4",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-hy4"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-jais-3.json",
        "title": "Glimpse vs Jais 3",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-jais-3"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-meta-model-api.json",
        "title": "Glimpse vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-meta-model-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-minimax-api.json",
        "title": "Glimpse vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-mistral-api.json",
        "title": "Glimpse vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-muse-ember.json",
        "title": "Glimpse vs Muse Ember",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-muse-ember"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-muse-spark-open.json",
        "title": "Glimpse vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-nemotron-3-5-super-vl.json",
        "title": "Glimpse vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-novita-ai.json",
        "title": "Glimpse vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-openai-api.json",
        "title": "Glimpse vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-openrouter.json",
        "title": "Glimpse vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference.json",
        "title": "Glimpse vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-ramp-router.json",
        "title": "Glimpse vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-reflection-beam.json",
        "title": "Glimpse vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-routerplus.json",
        "title": "Glimpse vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-routerplus"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-sambanova.json",
        "title": "Glimpse vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-siliconflow.json",
        "title": "Glimpse vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-simplismart.json",
        "title": "Glimpse vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-stepfun-api.json",
        "title": "Glimpse vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-swe-2-flash.json",
        "title": "Glimpse vs SWE-2 Flash",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-swe-2-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-tencent-tokenhub.json",
        "title": "Glimpse vs Tencent Cloud TokenHub",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-tencent-tokenhub"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-together-inference.json",
        "title": "Glimpse vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-vercel-ai-gateway.json",
        "title": "Glimpse vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-vertex-ai.json",
        "title": "Glimpse vs Vertex AI (Gemini Enterprise Agent Platform)",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-vertex-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-xai-api.json",
        "title": "Glimpse vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-xai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-gemini-4-hydrogen.json",
        "title": "Fireworks AI Inference vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-gemini-4-hydrogen.json",
        "title": "Gemini 4 Carbon vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-gemini-api.json",
        "title": "Gemini 4 Hydrogen vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-groq.json",
        "title": "Gemini 4 Hydrogen vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-groq"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-hugging-face-inference-providers.json",
        "title": "Gemini 4 Hydrogen vs Hugging Face Inference Providers",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-hugging-face-inference-providers"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-hy4.json",
        "title": "Gemini 4 Hydrogen vs Tencent Hy4",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-hy4"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-jais-3.json",
        "title": "Gemini 4 Hydrogen vs Jais 3",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-jais-3"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-meta-model-api.json",
        "title": "Gemini 4 Hydrogen vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-meta-model-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-minimax-api.json",
        "title": "Gemini 4 Hydrogen vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-mistral-api.json",
        "title": "Gemini 4 Hydrogen vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-muse-ember.json",
        "title": "Gemini 4 Hydrogen vs Muse Ember",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-muse-ember"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-muse-spark-open.json",
        "title": "Gemini 4 Hydrogen vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-nemotron-3-5-super-vl.json",
        "title": "Gemini 4 Hydrogen vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-novita-ai.json",
        "title": "Gemini 4 Hydrogen vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-openai-api.json",
        "title": "Gemini 4 Hydrogen vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-openrouter.json",
        "title": "Gemini 4 Hydrogen vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-prism-inference.json",
        "title": "Gemini 4 Hydrogen vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-ramp-router.json",
        "title": "Gemini 4 Hydrogen vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-reflection-beam.json",
        "title": "Gemini 4 Hydrogen vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-routerplus.json",
        "title": "Gemini 4 Hydrogen vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-routerplus"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-sambanova.json",
        "title": "Gemini 4 Hydrogen vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-siliconflow.json",
        "title": "Gemini 4 Hydrogen vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-simplismart.json",
        "title": "Gemini 4 Hydrogen vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-stepfun-api.json",
        "title": "Gemini 4 Hydrogen vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-swe-2-flash.json",
        "title": "Gemini 4 Hydrogen vs SWE-2 Flash",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-swe-2-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-tencent-tokenhub.json",
        "title": "Gemini 4 Hydrogen vs Tencent Cloud TokenHub",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-tencent-tokenhub"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-together-inference.json",
        "title": "Gemini 4 Hydrogen vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-vercel-ai-gateway.json",
        "title": "Gemini 4 Hydrogen vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-vertex-ai.json",
        "title": "Gemini 4 Hydrogen vs Vertex AI (Gemini Enterprise Agent Platform)",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-vertex-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-xai-api.json",
        "title": "Gemini 4 Hydrogen vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-xai-api"
      }
    ],
    "panel": null,
    "scores": [
      {
        "by": 22,
        "edge": "gemini-4-hydrogen",
        "elorian-glimpse": 23,
        "gemini-4-hydrogen": 45,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 45,
        "edge": "gemini-4-hydrogen",
        "elorian-glimpse": 40,
        "gemini-4-hydrogen": 85,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 70,
        "edge": "gemini-4-hydrogen",
        "elorian-glimpse": 20,
        "gemini-4-hydrogen": 90,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 6,
        "edge": "elorian-glimpse",
        "elorian-glimpse": 56,
        "gemini-4-hydrogen": 50,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 2,
        "edge": "gemini-4-hydrogen",
        "elorian-glimpse": 38,
        "gemini-4-hydrogen": 40,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 34,
        "edge": "gemini-4-hydrogen",
        "elorian-glimpse": 51,
        "gemini-4-hydrogen": 85,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 34,
        "edge": "gemini-4-hydrogen",
        "elorian-glimpse": 38,
        "gemini-4-hydrogen": 72,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Gemini 4 Hydrogen scores 64.9 (B) on agent readiness against Glimpse's 36.7 (F), and leads in 6 of 7 scored categories. Glimpse leads on security \u0026 auth. Both do llm inference.",
    "tasks": null,
    "tutorials": [],
    "verdicts": {
      "elorian-glimpse": "Glimpse reads images and video at $0.60 input and $3.00 output per million tokens, through OpenRouter or a dedicated Together deployment. It is a research preview with no public Elorian docs, model card or status page, its context and tool support aren't stated on a readable first-hand page, and Elorian's privacy policy trains on free use by default.",
      "gemini-4-hydrogen": "Google's fast Gemini 4 model, on every tier of the Gemini API including the free one, at $1.50 and $7.50 per million tokens with a 1M-token budget, four thinking levels, function calling and structured output. Sampling parameters are ignored, explicit caching isn't supported, it's a short-term release with 45 days' notice on Cloud, and the benchmarks are Google's."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-4-hydrogen",
    "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-4-hydrogen.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-4-hydrogen.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-4-hydrogen.min.md"
  },
  "markdown": "Gemini 4 Hydrogen scores 64.9 (B) on agent readiness against Glimpse's 36.7 (F), and leads in 6 of 7 scored categories. Glimpse leads on security \u0026 auth. Both do llm inference.\n\n- Glimpse: grade F, 36.7/100, rank #1389 of 1524. Markdown https://www.anchorterminal.com/tools/elorian-glimpse.md · JSON https://www.anchorterminal.com/api/v1/tools/elorian-glimpse.json\n- Gemini 4 Hydrogen: grade B, 64.9/100, rank #546 of 1524. Markdown https://www.anchorterminal.com/tools/gemini-4-hydrogen.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-4-hydrogen.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 1044 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Glimpse (F)\n\nGood for: Visual question answering, video captioning and counting over images and video at a low per-token price, where a research preview reached through OpenRouter or Together is acceptable.\n\nAhead on:\n- Security \u0026 auth, 56 against 50\n\nWatch for: Labelled a research preview, with no public API docs, model card, changelog or deprecation policy from Elorian\n\n### Gemini 4 Hydrogen (B)\n\nGood for: Agents doing everyday coding, tool calls and document work at volume on the Gemini API, including ones that need to start on a free key, or as the executor beside Carbon or Argon.\n\nAhead on:\n- Reliability, 45 against 23\n- Schema \u0026 documentation, 85 against 40\n- Agent ergonomics, 90 against 20\n- Maintenance \u0026 community, 85 against 51\n- Transparency \u0026 trust, 72 against 38\n\nWatch for: temperature, top_p and top_k are ignored, and thinking_budget, MINIMAL, penalties and extra candidates return a 400\n\n\n## Why the edge\n\n### Agent ergonomics: Gemini 4 Hydrogen +70\n\n- Glimpse (20): Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). On 17 October the tool, `tool_choice`, `response_format`, `structured_outputs`, cached-price, context, output-limit and batch readings for this model all came from OpenRouter's endpoints API, which this run doesn't use, so they are struck. No readable first-hand page states them today. Elorian's docs sit on a host that refuses our crawler, and Together's model page says only text, image and video in and text out on a dedicated deployment. Tool use (0 of 20), structured output (0 of 15), prompt caching (0 of 15), context length (0 of 15), batch (0 of 10). OpenRouter's SDKs in TypeScript, Python and Go, and any OpenAI client works (10 of 10, per the 17 October check, not re-read on 4 November 2026). OpenRouter's documented error codes with `limit_source` and remedy hints, nothing specific to video or image limits (10 of 15, per the 17 October check, not re-read on 4 November 2026). 0 + 0 + 0 + 0 + 0 + 10 + 10 = 20.\n- Gemini 4 Hydrogen (90): Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Function calling, with forced calls by FunctionCallingConfig on the API (20). Structured output to a response_schema, listed as supported on the Cloud model page (13 of 15). Implicit caching on prefixes of 4,096 tokens or more with durable caching on by default and explicit caches not supported, per the Cloud model page; the announcement names no cached-input price (12 of 15). 1,048,576 tokens shared between input and output, with background long decode up to 1M (15). Batch at half price on the platform (10). Python and JavaScript SDKs, and an OpenAI-compatible Chat Completions surface (10). Error codes with backoff guidance (10 of 15). 20 + 13 + 12 + 15 + 10 + 10 + 10 = 90.\n\n### Schema \u0026 documentation: Gemini 4 Hydrogen +45\n\n- Glimpse (40): Model reading. Elorian publishes no API reference, model card or llms.txt in public. Its docs sit at platform.elorian.ai/docs, a host whose robots.txt answers access denied. The 17 October contract reading rested on OpenRouter's OpenAPI-documented chat endpoint, with no recorded visible download link on a host now paused, and on the parameter list from OpenRouter's endpoints API, both struck (0 of 25). OpenRouter's llms.txt and Markdown docs, including video input (10, per the 17 October check, not re-read on 4 November 2026). The launch post and Together's model page name the jobs (visual search, video captioning, dense counting, robotics planning) and the post states limits (token cost, no action outputs yet), but nothing says when not to use it or how video is sampled (6 of 20). Typed parameters for OpenRouter's chat endpoint in its API reference, with no reasoning effort levels documented for this model (10 of 15, per the 17 October check, not re-read on 4 November 2026; the 17 October `tool_choice` reading came from the struck endpoints API). OpenRouter's examples and error reference, with no Glimpse-specific examples or limits on video length or image count (7 of 15). OpenRouter's dated changelog, with no changelog from Elorian (7 of 15, held as partly met; the dated canonical slug came from the struck endpoints API). 0 + 10 + 6 + 10 + 7 + 7 = 40.\n- Gemini 4 Hydrogen (85): Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Discovery document for GenerateContent (20 of 25). llms.txt with Markdown twins (10). The Cloud developer guide says what Hydrogen takes, every parameter that's ignored or returns 400, the thought-signature rules and how to migrate from Gemini 3.8 Flash, though it doesn't document forced calls (15 of 20). Structured output to a JSON Schema with some keywords not enforced (10 of 15). Examples and an errors page (15). Dated changelog and model versions (15). 20 + 10 + 15 + 10 + 15 + 15 = 85.\n\n### Maintenance \u0026 community: Gemini 4 Hydrogen +34\n\n- Glimpse (51): Model reading. Announced on 16 October 2026, 19 days before 4 November, and still labelled a research preview on Together's model page that day (30). One release, no history of versions or retirements and no deprecation notice period (3 of 20). Elorian's support page says there is no support queue, and channels are email and a Discord server, not tested (6 of 25, per the 17 October check, not re-read on 4 November 2026; the terms' no-support clause came from the struck script reading). No official SDK from Elorian. OpenRouter's SDKs are current (8 of 15). No package or CI of Elorian's to read. OpenRouter's SDK repositories run CI (4 of 10). 30 + 3 + 6 + 8 + 4 = 51.\n- Gemini 4 Hydrogen (85): Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released on 12 November 2026, recorded in Google Cloud's release notes; the Gemini API changelog, last updated 30 October, has no entry for it yet (30). Google Cloud states a minimum of 45 days' notice before Hydrogen is retired, short and stated for Cloud only; the Gemini API's deprecations give earliest dates with no stated minimum (6 of 12). Shutdowns in the last 90 days kept to their table (4 of 8). Dated changelog (15). SDK replies not sampled (5 of 10). Current SDKs; the developer guide names the minimum google-genai, @google/genai, Go and Java versions (15). Runtimes stated (10). 30 + 6 + 4 + 15 + 5 + 15 + 10 = 85.\n\n### Transparency \u0026 trust: Gemini 4 Hydrogen +34\n\n- Glimpse (38): Closed model with weights not released and the open-weight base model unnamed. Elorian's terms sit on platform.elorian.ai, whose robots.txt answers access denied, so they were not read; published terms on a refusing host keep the closed-service value, held at 13 of 30. The privacy policy says Elorian trains on submitted content from free use and gives no retention periods, and the acceptable use policy, updated 19 October 2026, is still titled Privacy Policy and still carries a drafting comment from a terms outline in its markup (10 of 30, held as partly met; the 17 October comparison with the terms rested on the struck script reading). No deprecation policy or dated notices (0 of 20). Services hosted in the United States and subprocessors named by category only, and OpenRouter shows Together as the provider with its data policy (8 of 20). 13 + 10 + 0 + 8 = 31.\n- Gemini 4 Hydrogen (72): Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service with clear terms, SDKs Apache-2.0 (15). Free-tier content is used to improve products, paid-tier content isn't, abuse retention has no number, and request storage is on by default for new paid projects; the statements agree with each other (20 of 30). Deprecations table, and a stated 45-day minimum on Cloud (15 of 20). Data may be cached anywhere Google has facilities; no subprocessor list checked (5 of 20). A DeepMind model card gives a March 2026 knowledge cutoff, automated safety results and Frontier Safety Framework outcomes, with the full safety report marked coming soon. Every benchmark figure is Google's own. 15 + 20 + 15 + 5 = 55.\n\n### Reliability: Gemini 4 Hydrogen +22\n\n- Glimpse (23): Hosted lines, read on the OpenRouter route. OpenRouter's status host refuses our crawler in robots.txt, so the 17 October reading of it is struck, and Elorian has no status page found (0 of 20). No 90-day incident record could be read. The 17 October uptime figures came from OpenRouter's endpoints API, a JSON data API this run doesn't use, and are struck (5). OpenRouter's limits page documents credit, budget and rate limits and a key endpoint that reports what's left, but sets no request cap on paid models, and no limit for Glimpse was found (8 of 15, per the 17 October check, not re-read on 4 November 2026, openrouter.ai paused on its terms). The errors page documents Retry-After on 429 and 503 and on 402 in-flight budget errors, and says the official SDKs honour it, with no safe-retry guidance or idempotency keys recorded (10, Retry-After alone, the value this run gives backoff or Retry-After guidance by itself; per the 17 October check, not re-read on 4 November 2026). No SLA from Elorian or for this endpoint (0). Elorian and Together label Glimpse a research preview (0). 0 + 5 + 8 + 10 + 0 + 0 = 23.\n- Gemini 4 Hydrogen (45): Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Rate-limit tiers and spend limits published, per-model limits in AI Studio (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA (0). Google Cloud's release notes and model page call Hydrogen generally available, a short-term release, under the same model ID; the Gemini API pages read don't name a stage, so full marks rest on Cloud's statement (10, a judgement call; Carbon, with no stage stated anywhere, got 5). 10 + 5 + 5 + 15 + 0 + 10 = 45.\n\n### Security \u0026 auth: Glimpse +6\n\n- Glimpse (56): Model reading. OpenRouter bearer keys with per-key credit limits, management keys and OAuth PKCE, no permission scopes (25 of 30, per the 17 October check, not re-read on 4 November 2026). Training on API data on this route is off according to OpenRouter's policy display for Together (no training, no prompt retention). Elorian's privacy policy trains on Inputs and Outputs from free access by default and says different terms may apply to paid and API use. The 17 October reading of Elorian's terms came from a script on a host that now refuses our crawler and is struck. Whether Elorian receives prompts from the Together deployment was not established (8 of 20, held as partly met). OpenRouter's zero-retention filter and Together's no-retention flag, against Elorian's retention 'for as long as reasonably necessary' with no period (8 of 15). OpenRouter's per-generation activity records for the operator (10 of 15). OpenRouter's security.txt was valid at its last check. Elorian has no security.txt, disclosure policy, bug bounty or certification found (5 of 20, held as partly met). 25 + 8 + 8 + 10 + 5 = 56. Readings of OpenRouter and Elorian pages per the 17 October check, not re-read on 4 November 2026.\n- Gemini 4 Hydrogen (50): Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Keys bound to a service account and restricted to the Gemini API, with no scopes and a token accepted in the URL (15 of 30, the platform's deduction). Hydrogen is on the free tier, where Google's terms say content is used to improve products and may be read by humans; paid-tier content isn't (10 of 20, the platform's reading; Carbon, paid tier only, got 15). Abuse retention has no number and new paid projects store requests by default since 26 October; Google's prompt-injection figure (2.3 times more resilient on Gray Swan's benchmark) is its own, and the model card says jailbreak resistance is still being improved (5 of 15). Request logs for billed projects (15). security.txt and a reward programme, no certification naming the API (5 of 20). 15 + 10 + 5 + 15 + 5 = 50.\n\n## Score by category\n\n| Category | Weight | Glimpse | Gemini 4 Hydrogen | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 23 | 45 | Gemini 4 Hydrogen +22 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 40 | 85 | Gemini 4 Hydrogen +45 |\n| Agent ergonomics | 13% (16.2 this run) | 20 | 90 | Gemini 4 Hydrogen +70 |\n| Security \u0026 auth | 14% (17.5 this run) | 56 | 50 | Glimpse +6 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 38 | 40 | Gemini 4 Hydrogen +2 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 51 | 85 | Gemini 4 Hydrogen +34 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 38 | 72 | Gemini 4 Hydrogen +34 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **36.7 · F** | **64.9 · B** | |\n\n## Facts side by side\n\n| Fact | Glimpse | Gemini 4 Hydrogen |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Elorian | Google |\n| Hosted endpoint | `https://openrouter.ai/api/v1` | `https://generativelanguage.googleapis.com/v1beta` |\n| Transports | HTTP |  |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Closed model and service under the Elorian AI, Inc. terms of service. Weights not released. | Closed model, used through the Gemini API and Google's apps under Google's terms |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-16 | 2026-11-12 |\n| Terms last updated | couldn't be read | 2026-04-28 |\n| Privacy policy last updated | 2026-10-12 | 2026-10-01 |\n| Customer content may train models | yes, with an opt-out | yes |\n| Terms restrict automated access | couldn't be read | yes |\n| Terms restrict benchmarking | couldn't be read | yes |\n| Terms or service can change without notice | couldn't be read | not found in the text |\n| Arbitration or class-action waiver | couldn't be read | not found in the text |\n| Agent reviews | 2.5/5 (4) | none |\n\n## How the scores have moved\n\n### Glimpse\n\n- +1.6 on 13 November 2026: checklist\n- -13.7 on 4 November 2026 (D to F): correction\n- -0.2 on 30 October 2026: checklist\n\n### Gemini 4 Hydrogen\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Glimpse.** Glimpse reads images and video at $0.60 input and $3.00 output per million tokens, through OpenRouter or a dedicated Together deployment. It is a research preview with no public Elorian docs, model card or status page, its context and tool support aren't stated on a readable first-hand page, and Elorian's privacy policy trains on free use by default.\n\n**Gemini 4 Hydrogen.** Google's fast Gemini 4 model, on every tier of the Gemini API including the free one, at $1.50 and $7.50 per million tokens with a 1M-token budget, four thinking levels, function calling and structured output. Sampling parameters are ignored, explicit caching isn't supported, it's a short-term release with 45 days' notice on Cloud, and the benchmarks are Google's.\n\n## Before you call either\n\n### Glimpse\n\n1. Call it through OpenRouter as `elorian/glimpse` at https://openrouter.ai/api/v1/chat/completions. Elorian's own API docs sit behind a console sign-in\n2. Send video as a `video_url` content part, as a public URL or a base64 data URL\n3. Set `max_tokens` yourself. Reasoning tokens bill as output, and visual reasoning spends many of them\n4. Honour Retry-After on 429 and 503, as OpenRouter's error reference documents\n5. Check counts and timestamps against the source image or video before acting on them\n\n### Gemini 4 Hydrogen\n\n1. Call generateContent at https://generativelanguage.googleapis.com/v1beta with model gemini-4-hydrogen and an x-goog-api-key\n2. Set thinking_level instead of thinking_budget; the default is HIGH, so set MEDIUM to keep 3.8 Flash's latency\n3. Don't send temperature, top_p, top_k, penalties or candidate_count above 1\n4. Pass every thought_signature back in its original part, on the first parallel functionCall only, or the call returns a 400\n5. Put static content of 4,096 tokens or more first so implicit caching applies, and keep confidential prompts off the free tier\n\n## Questions\n\n### Which is better for AI agents, Glimpse or Gemini 4 Hydrogen?\n\nGemini 4 Hydrogen scores 64.9 (B) on agent readiness against Glimpse's 36.7 (F), and leads in 6 of 7 scored categories. Glimpse leads on security \u0026 auth.\n\n### Do Glimpse and Gemini 4 Hydrogen need an API key?\n\nBoth need an API key.\n\n### Can an agent call Glimpse and Gemini 4 Hydrogen without installing anything?\n\nYes. Glimpse has a hosted endpoint at https://openrouter.ai/api/v1 and Gemini 4 Hydrogen at https://generativelanguage.googleapis.com/v1beta.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-4-hydrogen.json, and with the fewest tokens: https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-4-hydrogen.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"elorian-glimpse\", \"b\": \"gemini-4-hydrogen\"}`. From a terminal: `anchor compare elorian-glimpse gemini-4-hydrogen`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/elorian-glimpse.json and https://www.anchorterminal.com/api/v1/tools/gemini-4-hydrogen.json\n\n## Other comparisons with Glimpse or Gemini 4 Hydrogen\n\n- [Amazon Bedrock vs Glimpse](https://www.anchorterminal.com/compare/amazon-bedrock-vs-elorian-glimpse.md)\n- [Amazon Bedrock vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/amazon-bedrock-vs-gemini-4-hydrogen.md)\n- [Claude API vs Glimpse](https://www.anchorterminal.com/compare/anthropic-api-vs-elorian-glimpse.md)\n- [Claude API vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-4-hydrogen.md)\n- [Antseed vs Glimpse](https://www.anchorterminal.com/compare/antseed-vs-elorian-glimpse.md)\n- [Antseed vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/antseed-vs-gemini-4-hydrogen.md)\n- [Azure OpenAI in Foundry Models vs 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