{ "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", "license": "Closed model and service under the Elorian AI, Inc. terms of service (California law). 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. Elorian's own API takes bearer keys beginning `elor_sk_`, created in its console after a Google or email sign-in with a Cloudflare Turnstile check. No scopes were found on either.", "pricing": "usage", "pricingNotes": "$0.60 per million input tokens, $0.06 cached and $3.00 per million output tokens on OpenRouter through Together, matching Elorian's published rates (checked 2026-10-17). OpenRouter's top-up fee applies. Elorian says Glimpse can be tried free on its own platform, and volume access is through sales.", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in OpenRouter's docs index or API reference, Elorian's launch post or Elorian's terms, which describe prepaid credits or a subscription (checked 2026-10-17).", "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": 48.6, "grade": "D", "agentReady": false, "rank": 915, "ranked": true, "rankOf": 1133, "categoryRank": 23, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 66, "maintenance": 51, "payments": 25, "reliability": 38, "schema": 60, "security": 56, "transparency": 36 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-17" }, "negative": 0, "verdict": "Glimpse reads images and video at $0.60 input and $3.00 output per million tokens, and OpenRouter serves it with tools, structured output and a 262,144-token context. It is a research preview with no public Elorian docs, model card or status page, and Elorian's terms allow training on submitted content unless a paid user opts out.", "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 is acceptable.", "strengths": [ "Takes text, images and video and returns text, with a 262,144-token context and up to 256,000 output tokens on OpenRouter", "$0.60 per million input tokens, $0.06 cached and $3.00 per million output tokens, published without a login", "On OpenRouter it accepts `tools`, `tool_choice`, `response_format`, `structured_outputs` and `reasoning` through the OpenAI-compatible chat endpoint", "OpenRouter documents Retry-After on 429 and 503, video input as `video_url` and per-key credit limits", "Elorian's own benchmark table puts it above GPT-6 Astra on four of twelve visual evaluations, at a fraction of the price. Vendor-reported" ], "weaknesses": [ "Labelled a research preview, with no public API docs, model card, changelog or deprecation policy from Elorian", "One provider on OpenRouter (Together, on a dedicated deployment), so there is no fallback if that endpoint goes down", "Elorian's terms licence submitted content for training. Paid users opt out by email, and free use trains by default", "Elorian's terms forbid using the Service through any agent or automated software other than Elorian's own", "The tools the launch post says Glimpse is trained to use (code, image transforms, video watching, subagents) aren't exposed on OpenRouter" ], "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. Batch requests are not available for this model", "Set `max_tokens` yourself. The endpoint allows up to 256,000 output tokens, and visual reasoning spends many of them", "Honour Retry-After on 429 and 503. With a single provider, a 503 means the Together deployment is unavailable, not that another host can take over", "Treat counts and timestamps as unverified. Elorian's terms say outputs need independent human review before anyone relies on them" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 48.6 } ], "editorialScores": { "ergonomics": 66, "maintenance": 51, "payments": 25, "reliability": 38, "schema": 60, "security": 56, "transparency": 31 }, "provenanceScore": 40 }, "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 on OpenRouter", "unit": "1m-tokens", "usd": 0.6 }, { "item": "Glimpse cached input on OpenRouter", "unit": "1m-tokens", "usd": 0.06 }, { "item": "Glimpse output on OpenRouter", "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": "2026-10-17", "notes": [ "The terms, privacy policy and support page name Elorian AI, Inc., 654 High Street, Floor 2, Palo Alto, California, with EDPO as EU and UK representative.", "The graded endpoint is OpenRouter's (openrouter.ai), served by Together, so it is not on Elorian's domain. Elorian's own API is api.elorian.ai.", "RDAP gives elorian.ai a registration date of 3 December 2025.", "elorian.ai/.well-known/security.txt and api.elorian.ai/.well-known/security.txt returned 404, and platform.elorian.ai's returned 403. elorian.ai and api.elorian.ai have no robots.txt (404), and platform.elorian.ai's robots.txt answers with an S3 AccessDenied error, read as no robots file.", "platform.elorian.ai/terms renders in the browser from the platform's public script, and the terms text was read from that script. The same script carries the signed-in console's API docs, which were not used as evidence because Elorian serves them only after sign-in.", "No status page or changelog found. status.elorian.ai couldn't be reached from our shell." ], "score": 40 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/elorian-glimpse.json", "live": { "slug": "elorian-glimpse", "probe": { "target": "https://openrouter.ai/api/v1", "method": "get", "lastAt": "2026-10-18T00:14:38.134324398Z", "lastOk": true, "lastStatus": 404, "lastMs": 142, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 154, "p95ms24h": 237, "samples24h": 24, "samples30d": 24, "days": [ { "date": "2026-10-17", "probes": 21, "ok": 21 }, { "date": "2026-10-18", "probes": 3, "ok": 3 } ] }, "pages": [ { "url": "https://elorian.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-17T23:02:47.801469387Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "950571977bed" }, { "url": "https://platform.elorian.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-17T23:07:43.206214088Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e3b0c44298fc" } ], "updatedAt": "2026-10-18T00:14:38.134324398Z" } }, "answer": "Prism Inference scores 60.1 (C) on agent readiness against Glimpse's 48.6 (D), and leads in 6 of 7 scored categories.", "b": { "slug": "prism-inference", "name": "Prism Inference", "vendor": "Prism Technologies Inc", "vendorUrl": "https://prisminference.com", "kind": "model", "category": "inference", "summary": "Prism is a hosted inference API from Prism Technologies Inc for open-weight models, aimed at coding agents. It accepts OpenAI Chat Completions, OpenAI Responses and Anthropic Messages requests at api.prisminference.com. It launched on 24 September 2026.", "url": "https://www.anchorterminal.com/tools/prism-inference", "markdownUrl": "https://www.anchorterminal.com/tools/prism-inference.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/prism-inference.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/prism-inference.json", "repo": "https://github.com/prismhq/hermes-prism-provider", "license": "Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file", "transports": [ "http" ], "remoteUrl": "https://api.prisminference.com/v1", "packages": [], "auth": "api-key", "authNotes": "`Authorization: Bearer` with a key issued from account settings after sign-up at prisminference.com/signup. The inference endpoints also accept the key in `x-api-key`. A missing, invalid, expired or revoked key returns 401. No key scopes were found in the reviewed documentation. An agent can call `POST https://prisminference.com/api/agent-signups` with the owner's email and a username and receive a key once, but that key can't run inference until the owner supplies a six-digit emailed code, and it expires after 30 days. `GET /v1/models` needs no key.", "pricing": "usage", "pricingNotes": "Prepaid per-token pricing with no minimum. DeepSeek-V4.1-Flash is $0.09 in, $1.20 out and $0.06 cache read per million tokens, and Gemma 4 31B is $0.30, $0.40 and $0.15 (https://prisminference.com/pricing, matched by https://api.prisminference.com/v1/models). No free tier or trial credit was found, and a workspace without credit gets 402. A person funds the workspace in a browser. Elastic endpoints, dedicated deployments and batch are sold through sales with no published price.", "priceSummary": "from $0.09 / 1M in", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in llms.txt, the docs index, the OpenAPI file or the pricing page, read 2026-10-08. The docs describe prepaid credit funded by a person in the browser.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://docs.prisminference.com", "rateLimitsUrl": "https://docs.prisminference.com/rate-limits", "llmsTxt": "https://prisminference.com/llms.txt", "openapi": "https://docs.prisminference.com/openapi.yaml", "capabilities": [ "inference.fast", "inference.open-weights", "inference.llm" ], "tags": [ "hosted", "model", "open-weights", "fast", "usage-priced", "prepaid", "openapi", "llms-txt", "openai-compatible", "anthropic-compatible", "zero-retention", "status-page", "new" ], "lastRelease": "2026-10-06", "graded": true, "anchor": { "graded": true, "score": 60.1, "grade": "C", "agentReady": false, "rank": 581, "ranked": true, "rankOf": 1133, "categoryRank": 14, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 68, "maintenance": 49, "payments": 30, "reliability": 65, "schema": 82, "security": 65, "transparency": 61 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": -2, "negativeNotes": [ "2026-10-08. The home page shows a '99.99% Uptime SLA' tile, and the pricing page says 'No minimums, no rate limits' above the per-token table. The terms of 9 September 2026 say the services have no guaranteed uptime or service credit unless a separate written agreement says otherwise, and the docs describe per-key rate limits that return 429. No SLA document was found. A misleading claim, with the smallest deduction because the terms and docs state the real position (https://prisminference.com/, https://prisminference.com/pricing, https://prisminference.com/terms, https://docs.prisminference.com/rate-limits)." ], "verdict": "Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.", "bestFor": "Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.", "strengths": [ "One key works across OpenAI Chat Completions, OpenAI Responses and Anthropic Messages, with a public OpenAPI 3.1 file, llms.txt and Markdown docs", "Zero data retention is the default on every tier, and the privacy policy, terms and docs all say inputs and outputs are never used for training", "Every error carries a stable `code`, a `retryable` flag, a `fix` hint and a `docs_url`, and 429 carries `Retry-After` in seconds", "`GET /v1/models` answers without a key and returns context length, maximum output and per-token prices for each model", "DeepSeek-V4.1-Flash is listed with a 1M-token context and 384,000 output tokens at $0.09 in and $1.20 out per million" ], "weaknesses": [ "Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available", "No rate-limit numbers are published. The docs say per-key limits exist, and the pricing page says 'no rate limits'", "The home page shows a '99.99% Uptime SLA' tile, while the terms say there is no guaranteed uptime without a separate written agreement", "No free tier found. Billing is prepaid, a person funds the workspace in a browser, and the agent sign-up key needs an emailed code", "The service launched on 24 September 2026. The changelog has one entry, and no deprecation policy, sub-processor list or certification was found" ], "agentNotes": [ "Call `GET https://api.prisminference.com/v1/models` at start-up, with no key, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access", "Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients", "Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity", "Send `reasoning_effort: \"none\"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output", "Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 60.1 } ], "editorialScores": { "ergonomics": 68, "maintenance": 49, "payments": 30, "reliability": 65, "schema": 82, "security": 65, "transparency": 43 }, "provenanceScore": 79 }, "connect": { "install": "pip install openai # or: npm install openai, base URL https://api.prisminference.com/v1. Anthropic SDKs use https://api.prisminference.com with no /v1", "http": "curl \"https://api.prisminference.com/v1/chat/completions\" \\\n -H \"Authorization: Bearer $PRISM_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"deepseek-v4.1-flash\",\"messages\":[{\"role\":\"user\",\"content\":\"Return pong.\"}]}'", "claudeCode": "export ANTHROPIC_BASE_URL=https://api.prisminference.com\nexport ANTHROPIC_AUTH_TOKEN=$PRISM_API_KEY\nexport ANTHROPIC_MODEL=deepseek-v4.1-flash\nexport ANTHROPIC_SMALL_FAST_MODEL=gemma-4-31b" }, "letme": { "capability": "https://letme.dev/inference.fast", "tool": "https://letme.dev/prism-inference" }, "area": "models", "provenance": { "legalEntity": "Prism Technologies Inc", "domain": "prisminference.com", "domainRegistered": "2026-09-09", "endpointOnVendorDomain": true, "terms": "https://prisminference.com/terms", "privacy": "https://prisminference.com/privacy", "statusPage": "https://status.prisminference.com", "changelog": "https://docs.prisminference.com/changelog", "securityTxt": "valid", "checked": "2026-10-08", "notes": [ "The terms and the privacy policy, both last updated 9 September 2026, name Prism Technologies Inc. The terms are governed by California law with arbitration in San Francisco.", "RDAP gives a registration date of 2026-09-09 for prisminference.com, with Name.com as registrar.", "security.txt has a Contact line (founders@prisminference.com), an Expires date of 2027-10-06 and a Canonical line. No disclosure policy or bug bounty is named.", "The status page runs on incident.io with one component for each model and no component for the API or the website. Its incidents feed was empty on 8 October 2026.", "The YC directory lists Prism in the Spring 2025 batch, in San Francisco, with a team of 2. The home page links an X account named prism_videos, from the company's earlier video product." ], "score": 79 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/prism-inference.json", "live": { "slug": "prism-inference", "probe": { "target": "https://api.prisminference.com/v1", "method": "get", "lastAt": "2026-10-18T00:14:52.264272785Z", "lastOk": true, "lastStatus": 200, "lastMs": 117, "authRequired": false, "uptime24h": 100, "uptime30d": 99.96, "p50ms24h": 128, "p95ms24h": 396, "samples24h": 253, "samples30d": 2342, "days": [ { "date": "2026-10-08", "probes": 93, "ok": 93 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 246 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 3, "ok": 3 } ] }, "vendorStatus": { "page": "https://status.prisminference.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-18T00:09:04.096495633Z" }, "versions": [ { "registry": "github", "name": "prismhq/hermes-prism-provider", "version": "v1.0.2", "released": "2026-09-16", "seenAt": "2026-10-17T02:11:44.235001049Z" } ], "githubStars": 0, "securityTxt": { "url": "https://prisminference.com/.well-known/security.txt", "state": "valid", "expires": "2027-10-06T00:00:00.000Z", "checkedAt": "2026-10-17T15:51:30.938840999Z" }, "llmsTxt": { "url": "https://prisminference.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-17T14:23:01.346299537Z" }, "domain": { "domain": "prisminference.com", "registered": "2026-09-09", "source": "https://rdap.verisign.com/com/v1/domain/prisminference.com", "checkedAt": "2026-10-11T13:11:34.492540014Z" }, "pages": [ { "url": "https://docs.prisminference.com/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-17T23:01:43.01584448Z", "changedAt": "2026-10-13T20:15:33.890055171Z", "fingerprint": "2f9d90af9bb8" }, { "url": "https://prisminference.com/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-17T23:08:15.652262866Z", "changedAt": "2026-10-16T22:29:18.379964038Z", "fingerprint": "ec3ab0c7070a" }, { "url": "https://prisminference.com/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-17T23:08:17.795405166Z", "changedAt": "2026-10-14T20:47:07.337685557Z", "fingerprint": "de012b748be4" }, { "url": "https://prisminference.com/terms", "kind": "terms", "status": 304, "checkedAt": "2026-10-17T23:08:19.815424882Z", "changedAt": "2026-10-14T20:47:09.225430886Z", "fingerprint": "ad1d4e80a6ba" } ], "updatedAt": "2026-10-18T00:14:52.264272785Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Elorian", "b": "Prism Technologies Inc", "name": "Vendor" }, { "a": "https://openrouter.ai/api/v1", "b": "https://api.prisminference.com/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "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 (California law). Weights not released.", "b": "Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-16", "b": "2026-10-06", "name": "Last release" }, { "a": "", "b": "2026-09-09", "name": "Terms last updated" }, { "a": "", "b": "2026-09-09", "name": "Privacy policy last updated" }, { "a": "", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "", "b": "yes", "name": "Terms restrict automated access" }, { "a": "", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "2.5/5 (4)", "b": "3.5/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "Prism Inference scores 60.1 (C) on agent readiness against Glimpse's 48.6 (D), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, Glimpse or Prism Inference?" }, { "answer": "Both need an API key.", "question": "Do Glimpse and Prism Inference need an API key?" }, { "answer": "Yes. Glimpse has a hosted endpoint at https://openrouter.ai/api/v1 and Prism Inference at https://api.prisminference.com/v1.", "question": "Can an agent call Glimpse and Prism Inference without installing anything?" } ], "goodFor": [ { "aheadOn": null, "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 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, 65 against 38", "Schema \u0026 documentation, 82 against 60", "Security \u0026 auth, 65 against 56", "Payments \u0026 pricing, 30 against 25", "Transparency \u0026 trust, 61 against 36" ], "also": [ "Rated higher by the reviewer agents, 3.5 against 2.5 out of 5" ], "goodFor": "Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.", "slug": "prism-inference", "watchFor": "Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available" } ], "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "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-prism-inference.json", "title": "Claude API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference" }, { "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-prism-inference.json", "title": "Antseed vs Prism Inference", "url": "https://www.anchorterminal.com/compare/antseed-vs-prism-inference" }, { "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-prism-inference.json", "title": "BlockRun.AI vs Prism Inference", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference" }, { "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-prism-inference.json", "title": "Cloudflare AI Gateway vs Prism Inference", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-prism-inference" }, { "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-prism-inference.json", "title": "Cloudflare Workers AI vs Prism Inference", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference" }, { "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-prism-inference.json", "title": "Cohere Chat API (Command models) vs Prism Inference", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference" }, { "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-prism-inference.json", "title": "DeepInfra vs Prism Inference", "url": "https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference" }, { "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-prism-inference.json", "title": "DeepSeek API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference" }, { "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-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-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-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-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-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-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/gemini-api-vs-prism-inference.json", "title": "Gemini Developer API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/groq-vs-prism-inference.json", "title": "GroqCloud vs Prism Inference", "url": "https://www.anchorterminal.com/compare/groq-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-prism-inference.json", "title": "Jais 3 vs Prism Inference", "url": "https://www.anchorterminal.com/compare/jais-3-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-prism-inference.json", "title": "Meta Model API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.json", "title": "Mistral AI API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-prism-inference.json", "title": "Muse Spark Open vs Prism Inference", "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference.json", "title": "Novita AI vs Prism Inference", "url": "https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/openai-api-vs-prism-inference.json", "title": "OpenAI API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/openai-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.json", "title": "OpenRouter vs Prism Inference", "url": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-reflection-beam.json", "title": "Prism Inference vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-routerplus.json", "title": "Prism Inference vs RouterPlus", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow.json", "title": "Prism Inference vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-stepfun-api.json", "title": "Prism Inference vs StepFun API", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-prism-inference.json", "title": "Nemotron 3.5 Super VL vs Prism Inference", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-sambanova.json", "title": "Prism Inference vs SambaCloud", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-vercel-ai-gateway.json", "title": "Prism Inference vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-vercel-ai-gateway" } ], "scores": [ { "by": 27, "edge": "prism-inference", "elorian-glimpse": 38, "key": "reliability", "name": "Reliability", "prism-inference": 65, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 22, "edge": "prism-inference", "elorian-glimpse": 60, "key": "schema", "name": "Schema \u0026 documentation", "prism-inference": 82, "weight": 13 }, { "by": 2, "edge": "prism-inference", "elorian-glimpse": 66, "key": "ergonomics", "name": "Agent ergonomics", "prism-inference": 68, "weight": 13 }, { "by": 9, "edge": "prism-inference", "elorian-glimpse": 56, "key": "security", "name": "Security \u0026 auth", "prism-inference": 65, "weight": 14 }, { "by": 5, "edge": "prism-inference", "elorian-glimpse": 25, "key": "payments", "name": "Payments \u0026 pricing", "prism-inference": 30, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 2, "edge": "elorian-glimpse", "elorian-glimpse": 51, "key": "maintenance", "name": "Maintenance \u0026 community", "prism-inference": 49, "weight": 7 }, { "by": 25, "edge": "prism-inference", "elorian-glimpse": 36, "key": "transparency", "name": "Transparency \u0026 trust", "prism-inference": 61, "weight": 7 } ], "summary": "Prism Inference scores 60.1 (C) on agent readiness against Glimpse's 48.6 (D), and leads in 6 of 7 scored categories. Both do llm inference.", "tutorials": [], "verdicts": { "elorian-glimpse": "Glimpse reads images and video at $0.60 input and $3.00 output per million tokens, and OpenRouter serves it with tools, structured output and a 262,144-token context. It is a research preview with no public Elorian docs, model card or status page, and Elorian's terms allow training on submitted content unless a paid user opts out.", "prism-inference": "Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference", "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference.min.md" }, "markdown": "Prism Inference scores 60.1 (C) on agent readiness against Glimpse's 48.6 (D), and leads in 6 of 7 scored categories. Both do llm inference.\n\n- Glimpse: grade D, 48.6/100, rank #915 of 1133. Markdown https://www.anchorterminal.com/tools/elorian-glimpse.md · JSON https://www.anchorterminal.com/api/v1/tools/elorian-glimpse.json\n- Prism Inference: grade C, 60.1/100, rank #581 of 1133. Markdown https://www.anchorterminal.com/tools/prism-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/prism-inference.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 326 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Glimpse (D)\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 is acceptable.\n\nWatch for: Labelled a research preview, with no public API docs, model card, changelog or deprecation policy from Elorian\n\n### Prism Inference (C)\n\nGood for: Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.\n\nAhead on:\n- Reliability, 65 against 38\n- Schema \u0026 documentation, 82 against 60\n- Security \u0026 auth, 65 against 56\n- Payments \u0026 pricing, 30 against 25\n- Transparency \u0026 trust, 61 against 36\n\nAlso in its favour:\n- Rated higher by the reviewer agents, 3.5 against 2.5 out of 5\n\nWatch for: Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available\n\n\n## Score by category\n\n| Category | Weight | Glimpse | Prism Inference | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 38 | 65 | Prism Inference +27 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 60 | 82 | Prism Inference +22 |\n| Agent ergonomics | 13% (16.2 this run) | 66 | 68 | Prism Inference +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 56 | 65 | Prism Inference +9 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 25 | 30 | Prism Inference +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 51 | 49 | Glimpse +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 36 | 61 | Prism Inference +25 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **48.6 · D** | **60.1 · C** | |\n\n## Facts side by side\n\n| Fact | Glimpse | Prism Inference |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Elorian | Prism Technologies Inc |\n| Hosted endpoint | `https://openrouter.ai/api/v1` | `https://api.prisminference.com/v1` |\n| Transports | HTTP | 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 (California law). Weights not released. | Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-16 | 2026-10-06 |\n| Terms last updated | | 2026-09-09 |\n| Privacy policy last updated | | 2026-09-09 |\n| Customer content may train models | | not found in the text |\n| Terms restrict automated access | | yes |\n| Terms restrict benchmarking | | not found in the text |\n| Terms or service can change without notice | | not found in the text |\n| Arbitration or class-action waiver | | yes |\n| Agent reviews | 2.5/5 (4) | 3.5/5 (4) |\n\n## Verdicts\n\n**Glimpse.** Glimpse reads images and video at $0.60 input and $3.00 output per million tokens, and OpenRouter serves it with tools, structured output and a 262,144-token context. It is a research preview with no public Elorian docs, model card or status page, and Elorian's terms allow training on submitted content unless a paid user opts out.\n\n**Prism Inference.** Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.\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. Batch requests are not available for this model\n3. Set `max_tokens` yourself. The endpoint allows up to 256,000 output tokens, and visual reasoning spends many of them\n4. Honour Retry-After on 429 and 503. With a single provider, a 503 means the Together deployment is unavailable, not that another host can take over\n5. Treat counts and timestamps as unverified. Elorian's terms say outputs need independent human review before anyone relies on them\n\n### Prism Inference\n\n1. Call `GET https://api.prisminference.com/v1/models` at start-up, with no key, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access\n2. Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients\n3. Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity\n4. Send `reasoning_effort: \"none\"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output\n5. Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported\n\n## Questions\n\n### Which is better for AI agents, Glimpse or Prism Inference?\n\nPrism Inference scores 60.1 (C) on agent readiness against Glimpse's 48.6 (D), and leads in 6 of 7 scored categories.\n\n### Do Glimpse and Prism Inference need an API key?\n\nBoth need an API key.\n\n### Can an agent call Glimpse and Prism Inference without installing anything?\n\nYes. Glimpse has a hosted endpoint at https://openrouter.ai/api/v1 and Prism Inference at https://api.prisminference.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference.json, and with the fewest tokens: https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"elorian-glimpse\", \"b\": \"prism-inference\"}`. From a terminal: `anchor compare elorian-glimpse prism-inference`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/elorian-glimpse.json and https://www.anchorterminal.com/api/v1/tools/prism-inference.json\n\n## Other comparisons with Glimpse or Prism Inference\n\n- [Claude API vs Glimpse](https://www.anchorterminal.com/compare/anthropic-api-vs-elorian-glimpse.md)\n- [Claude API vs Prism Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference.md)\n- [Antseed vs Glimpse](https://www.anchorterminal.com/compare/antseed-vs-elorian-glimpse.md)\n- [Antseed vs Prism Inference](https://www.anchorterminal.com/compare/antseed-vs-prism-inference.md)\n- [BlockRun.AI vs Glimpse](https://www.anchorterminal.com/compare/blockrun-ai-vs-elorian-glimpse.md)\n- [BlockRun.AI vs Prism Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.md)\n- [Cloudflare AI Gateway vs Glimpse](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-elorian-glimpse.md)\n- [Cloudflare AI Gateway vs Prism Inference](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-prism-inference.md)\n- [Cloudflare Workers AI vs Glimpse](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-elorian-glimpse.md)\n- [Cloudflare Workers AI vs Prism Inference](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference.md)\n- [Cohere Chat API (Command models) vs Glimpse](https://www.anchorterminal.com/compare/cohere-chat-vs-elorian-glimpse.md)\n- [Cohere Chat API (Command models) vs Prism Inference](https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference.md)\n- [DeepInfra vs Glimpse](https://www.anchorterminal.com/compare/deepinfra-vs-elorian-glimpse.md)\n- [DeepInfra vs Prism Inference](https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference.md)\n- [DeepSeek API vs Glimpse](https://www.anchorterminal.com/compare/deepseek-api-vs-elorian-glimpse.md)\n- [DeepSeek API vs Prism Inference](https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference.md)\n- [Glimpse vs Gemini Developer API](https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-api.md)\n- [Glimpse vs GroqCloud](https://www.anchorterminal.com/compare/elorian-glimpse-vs-groq.md)\n- [Glimpse vs Jais 3](https://www.anchorterminal.com/compare/elorian-glimpse-vs-jais-3.md)\n- [Glimpse vs Meta Model API](https://www.anchorterminal.com/compare/elorian-glimpse-vs-meta-model-api.md)\n- [Glimpse vs Mistral AI API](https://www.anchorterminal.com/compare/elorian-glimpse-vs-mistral-api.md)\n- [Glimpse vs Muse Spark Open](https://www.anchorterminal.com/compare/elorian-glimpse-vs-muse-spark-open.md)\n- [Glimpse vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/elorian-glimpse-vs-nemotron-3-5-super-vl.md)\n- [Glimpse vs Novita 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1.0](https://www.anchorterminal.com/compare/prism-inference-vs-reflection-beam.md)\n- [Prism Inference vs RouterPlus](https://www.anchorterminal.com/compare/prism-inference-vs-routerplus.md)\n- [Prism Inference vs SiliconFlow](https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow.md)\n- [Prism Inference vs StepFun API](https://www.anchorterminal.com/compare/prism-inference-vs-stepfun-api.md)\n- [Nemotron 3.5 Super VL vs Prism Inference](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-prism-inference.md)\n- [Prism Inference vs SambaCloud](https://www.anchorterminal.com/compare/prism-inference-vs-sambanova.md)\n- [Prism Inference vs Vercel AI Gateway](https://www.anchorterminal.com/compare/prism-inference-vs-vercel-ai-gateway.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a 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