{ "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 (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": "from $0.60 / 1M in", "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": 48.8, "grade": "D", "agentReady": false, "rank": 984, "ranked": true, "rankOf": 1350, "categoryRank": 29, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 66, "maintenance": 51, "payments": 25, "reliability": 38, "schema": 60, "security": 56, "transparency": 38 }, "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": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 48.8 } ], "editorialScores": { "ergonomics": 66, "maintenance": 51, "payments": 25, "reliability": 38, "schema": 60, "security": 56, "transparency": 31 }, "provenanceScore": 45, "checked": { "categories": { "ergonomics": "2026-10-17", "maintenance": "2026-10-17", "payments": "2026-10-17", "reliability": "2026-10-17", "schema": "2026-10-17", "security": "2026-10-17", "transparency": "2026-10-17" }, "last": "2026-10-17", "lastMoved": "2026-10-30", "oldest": "2026-10-17", "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 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": 45 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/elorian-glimpse.json", "live": { "slug": "elorian-glimpse", "probe": { "target": "https://openrouter.ai/api/v1", "method": "get", "lastAt": "2026-11-05T01:28:58.116020447Z", "lastOk": true, "lastStatus": 404, "lastMs": 137, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 194, "p95ms24h": 328, "samples24h": 247, "samples30d": 4548, "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": 16, "ok": 16 } ] }, "securityTxt": { "url": "https://elorian.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-04T15:54:48.82184469Z" }, "domain": { "domain": "elorian.ai", "registered": "2025-12-03", "source": "https://rdap.identitydigital.services/rdap/domain/elorian.ai", "checkedAt": "2026-11-01T14:22:59.339656757Z" }, "pages": [ { "url": "https://elorian.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-04T08:23:25.754444261Z", "changedAt": "2026-11-04T08:23:25.754444261Z", "fingerprint": "bfdfaa0be214" }, { "url": "https://platform.elorian.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-11-04T08:29:54.031953452Z", "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": "2026-11-04T23:49:21.961528872Z" } }, "updatedAt": "2026-11-05T01:28:58.116020447Z" } }, "answer": "Glimpse scores 48.8 (D) on agent readiness against SWE-2 Flash's 36.4 (F), and leads in 4 of 7 scored categories. SWE-2 Flash leads on reliability and transparency \u0026 trust.", "b": { "slug": "swe-2-flash", "name": "SWE-2 Flash", "vendor": "Cognition AI, Inc.", "vendorUrl": "https://cognition.com/blog/swe-2-flash", "kind": "model", "category": "inference", "summary": "SWE-2 Flash is Cognition's small, fast coding model, mid-trained and reinforcement-trained from Thinking Machines' Inkling-Small (276B total, 12B active parameters). It runs inside Devin Desktop and Devin CLI, with no model API of its own and no public weights.", "url": "https://www.anchorterminal.com/tools/swe-2-flash", "markdownUrl": "https://www.anchorterminal.com/tools/swe-2-flash.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/swe-2-flash.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/swe-2-flash.json", "dns": "swe-2-flash.grade.anchorterminal.com", "license": "Proprietary model, used through Devin Desktop and Devin CLI under Cognition's Platform Terms of Service. The weights are not public; Cognition says it is building a programme to share them with industry partners and researchers", "transports": [], "packages": [], "auth": "mixed", "authNotes": "No model API or key of its own. A person signs in to Devin Desktop, or runs `devin auth login` for Devin CLI, through a browser (enterprise users through their identity provider). The CLI then keeps an API token in credentials.toml that by default is persistent and does not expire, and the docs warn that anyone with the file can authenticate as that user. Enterprise admins choose which models a team may use with a model allowlist.", "pricing": "freemium", "pricingNotes": "Free in Devin Desktop and Devin CLI through 30 November 2026, per the launch post. Afterwards it is billed against the plan's daily and weekly quota, then extra usage at API pricing. The post says one-fifth the price of SWE-2, whose list price is $3.00 input, $0.30 cached input and $15.00 output per million tokens, but no SWE-2 Flash figure is published: the docs' cost table loads in the browser and the models pages don't list it yet (checked 2026-11-04). Plans are Free $0, Pro $20 a month, Max $200 a month and Teams $80 a month plus $40 per full seat. The docs say Free tier users only have SWE-1.6, so whether Free reaches SWE-2 Flash is unconfirmed.", "priceSummary": "Freemium", "where": "local", "x402": { "level": "no", "evidence": "No model endpoint to pay. No x402, MPP or L402 on the Devin pricing page, the Devin Desktop models page or the launch post (checked 2026-11-04).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-04" }, "docsUrl": "https://docs.devin.ai/desktop/models", "llmsTxt": "https://docs.devin.ai/llms.txt", "capabilities": [ "inference.llm" ], "tags": [ "official", "hosted", "model", "closed-source", "coding", "moe", "cli", "desktop-app", "llms-txt", "status-page", "soc2", "iso27001", "sla", "freemium", "new" ], "lastRelease": "2026-11-04", "graded": true, "anchor": { "graded": true, "score": 36.4, "grade": "F", "agentReady": false, "rank": 1243, "ranked": true, "rankOf": 1350, "categoryRank": 33, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 10, "maintenance": 53, "payments": 20, "reliability": 50, "schema": 29, "security": 53, "transparency": 64 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "low", "date": "2026-11-04" }, "negative": -2, "negativeNotes": [ "The launch post says 'On leading evals, SWE-2 Flash outperforms all American open-weight models'. The post's own table, a first-hand source, gives Meta's Muse Spark Open (American, open weights, released 15 October 2026) 54.0 on SWE-Atlas QA against SWE-2 Flash's 50.0, and Meta's own figure for Muse Spark Open is 58. A 'surpasses' claim a first-hand source shows false is a deduction of 2 (research/new-2026-11-04-ripple-swe2/NEWLIST.md, rule 4). The case against: SWE-2 Flash leads every other row it shares with the American open-weight models in the table, and DeepSWE 1.1 is 60.1 to 60.0, so 'on leading evals' can be read as overall. Proposed for the founder to confirm at landing, as xiaomi-ocr-0's was" ], "verdict": "A new small coding model from Cognition that anyone can try free in Devin Desktop and Devin CLI until 30 November 2026, with strong vendor-reported coding scores. It has no model API, no published per-token price, context length or model card, and no public weights, so an agent can reach it only by driving Devin's own CLI.", "bestFor": "People already using Devin Desktop or Devin CLI who want a cheaper, faster model for routine coding work such as automations, reviews and small changes, while it is free in November 2026.", "strengths": [ "Free in Devin Desktop and Devin CLI through 30 November 2026, and selectable per run with `devin --model` or `/model`", "Cognition reports large gains over its base model, Terminal-Bench 4.0 from 0.9 to 20.0 and FrontierCode 2.0 from 3.2 to 24.0, with the full benchmark table in the post", "Runs inside Devin CLI's sandbox, permissions and hooks, and enterprise admins can allow or block it per team", "Cognition holds SOC 2 Type II and ISO/IEC 27001:2022 and publishes an SLA for contracts that include one", "Status page with a Desktop Agent component, and in the 90 days to 4 November no incident names Desktop or the CLI, only a scheduled extension marketplace maintenance on 7 August" ], "weaknesses": [ "No model API, OpenAPI entry or model card. The Devin API's session agents list SWE-2 but not SWE-2 Flash", "No per-token price, context length, output limit or reasoning settings published for it, and the docs' models pages don't list it yet", "The weights are withheld for now, with a partner and researcher programme promised but not yet described", "Customer data may be used for model training by default on self-serve plans, with the opt-out on paid plans only", "The CLI's login token is persistent and doesn't expire by default, and no rate limit figures or retry guidance are published" ], "agentNotes": [ "There is no endpoint to call. Run Devin CLI single-turn with `devin -p` and pick the model with `--model`; the SWE-2 Flash model ID isn't documented yet, so check `/model` in the CLI first", "Don't rely on the short name `swe`. The docs say it resolves to the latest model in the family, which may be SWE-2 rather than SWE-2 Flash", "Plan for billing to start on 1 December 2026. The free period covers Devin Desktop and CLI only, not Devin cloud sessions", "Treat Cognition's benchmark figures as the vendor's. No independent result for SWE-2 Flash was found", "Keep `credentials.toml` private. The token in it doesn't expire by default and carries the signed-in user's access" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "F", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 36.4 } ], "editorialScores": { "ergonomics": 10, "maintenance": 53, "payments": 20, "reliability": 50, "schema": 29, "security": 53, "transparency": 56 }, "provenanceScore": 72, "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", "oldest": "2026-11-04", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "Install Devin CLI or Devin Desktop from https://devin.ai/download, sign in with `devin auth login`, then choose SWE-2 Flash with `/model`" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/swe-2-flash" }, "area": "models", "provenance": { "legalEntity": "Cognition AI, Inc.", "domain": "cognition.com", "domainRegistered": "", "domainNote": "Not looked up: RDAP isn't requested under the 1 November 2026 rules. The product runs on devin.ai, registered 2022-12-06 per the devin listing's RDAP check of 8 October 2026.", "endpointOnVendorDomain": true, "terms": "https://cognition.com/legal/platform-terms-of-service", "privacy": "https://cognition.com/legal/privacy-policy", "statusPage": "https://www.devinstatus.com", "changelog": "https://docs.devin.ai/release-notes/overview", "securityTxt": "none", "checked": "2026-11-04", "notes": [ "The launch post is on cognition.com, signed by the Cognition Team, and the Devin docs, pricing page and status page link the same company. The platform terms (30 June 2026) name Cognition AI, Inc.", "The website terms of use (13 May 2024) and platform terms were read for automated-access limits and have none. cognition.com's robots.txt disallows only /downloads/, devin.ai's only /top-secret and /assets/downloads/, docs.devin.ai's /cdn-cgi/ and /_next/ (with Content-Signal ai-input=yes), and www.devinstatus.com's /api/ and /embed/.", "security.txt is none per the devin listing's 8 October check, not re-read. The docs give a security address for vulnerability reports.", "No SWE-2 Flash entry in the Devin release notes, whose newest is 2 November 2026." ], "score": 72 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/swe-2-flash.json", "live": { "slug": "swe-2-flash", "vendorStatus": { "page": "https://www.devinstatus.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-05T01:27:53.220664573Z" }, "updatedAt": "2026-11-05T01:27:53.220664573Z" } }, "edges": [ { "by": 56, "category": "ergonomics", "leads": "elorian-glimpse", "name": "Agent ergonomics", "reasons": { "a": "Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Function tools with `tool_choice` none, auto or required, but not a named function, and the multimodal tools and subagents the launch post describes are not exposed (`native_tools` is empty) (12 of 20). `response_format` and `structured_outputs` are listed, with enforcement depending on Together's deployment and no Elorian documentation (10 of 15). Implicit prompt caching at $0.06 per million cached input tokens, a tenth of the input price, with OpenRouter's sticky routing (12 of 15). 262,144-token context with up to 256,000 output tokens (12 of 15). No batch endpoint for this model, since its only endpoint has no `:batch` variant (0 of 10). OpenRouter's SDKs in TypeScript, Python and Go, and any OpenAI client works (10 of 10). OpenRouter's documented error codes with `limit_source` and remedy hints, nothing specific to video or image limits (10 of 15). 66.", "b": "Model reading (tool use, structured output, caching, context, batch, SDKs). Tool use is Devin's harness, not something a caller configures; no context length, output limit or cache price is published for SWE-2 Flash (5 of 25). No documented output-size or reasoning controls for this model; SWE-2's effort levels aren't stated for Flash (0 of 20). No model-level error documentation (0 of 20). No idempotency or retry guidance (0 of 20). One flag or picker selects it and `devin -p` runs a single turn and prints to stdout, but there is no SDK or direct endpoint (5 of 15). 5 + 0 + 0 + 0 + 5 = 10." }, "scores": { "a": 66, "b": 10 } }, { "by": 31, "category": "schema", "leads": "elorian-glimpse", "name": "Schema \u0026 documentation", "reasons": { "a": "Model reading. Elorian publishes no API reference, model card or llms.txt in public. Its console docs need a sign-in. The contract an agent has is OpenRouter's generic OpenAPI-documented chat endpoint plus the model API's list of supported parameters, which is not specific to Glimpse (20 of 25). OpenRouter's llms.txt and Markdown docs, including video input (10). The launch post and OpenRouter's description 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 on OpenRouter, with `tool_choice` limited to none, auto and required, and no documented reasoning effort levels for this model (10 of 15). 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 and a dated canonical slug, `glimpse-20261016`, but no changelog from Elorian (7 of 15). 60.", "b": "Model reading. No model API, so no OpenAPI entry; the Devin v3 OpenAPI file lists SWE-2 agents only, and no model card was found (0). docs.devin.ai serves llms.txt and Markdown copies of every page (10). The launch post says what it is for (automations, code review, feature development, documentation) and the CLI docs say when to pick a SWE model, but the models pages don't list SWE-2 Flash yet (6 of 20). No documented model ID, reasoning settings, context or output limits to type (0 of 15). The CLI pages show `--model` and `/model` examples, with no model-specific errors (3 of 15). Named, dated model versions on Cognition's blog and public release notes, but no release note for SWE-2 Flash yet; the newest is 2 November (10 of 15). 0 + 10 + 6 + 0 + 3 + 10 = 29." }, "scores": { "a": 60, "b": 29 } }, { "by": 26, "category": "transparency", "leads": "swe-2-flash", "name": "Transparency \u0026 trust", "reasons": { "a": "Closed model under clear terms (California law, arbitration with an opt-out, liability caps), with weights not released and the open-weight base model unnamed (13 of 30). The privacy policy and terms agree that Elorian trains on submitted content, but disagree on who may opt out (anyone by privacy@elorian.ai in the policy, paid users by contact@elorian.ai in the terms), say only that 'different terms may apply' to API use, and give no retention periods. The published privacy and acceptable use pages carry a leftover drafting comment from a terms outline, and the acceptable use page is titled Privacy Policy (10 of 30). No deprecation policy or dated notices, and the terms allow discontinuation without notice (0 of 20). Services hosted in the United States and subprocessors named by category only. On this route, OpenRouter names Together as the provider and shows its data policy (8 of 20). 31.", "b": "Editorial half. Closed model under Cognition's platform terms; the weights aren't public and the sharing programme isn't described yet (15). Terms, privacy policy, security page and DPA agree, with training on self-serve data by default and no retention periods, as read for the devin listing (18). The API versioning policy covers API endpoints, not models, and no model deprecation notice was found (5 of 20). Sub-processors listed with purpose and country, per the devin listing's 8 October check (18). 15 + 18 + 5 + 18 = 56." }, "scores": { "a": 38, "b": 64 } }, { "by": 12, "category": "reliability", "leads": "swe-2-flash", "name": "Reliability", "reasons": { "a": "Hosted lines, read on the OpenRouter route. OpenRouter has a status page at status.openrouter.ai, which covers the platform rather than this model, and Elorian has none found (10 of 20). The endpoint is a day old. OpenRouter's model API reports 98.7 per cent uptime over the last day and 100 per cent over the last 30 minutes on 17 October 2026, which is not a 90-day record (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 or the Together deployment was found (8 of 15). The errors page documents Retry-After on 429 and 503 and on 402 in-flight budget errors, and says the official SDKs honour it (15). No SLA from Elorian or for this endpoint (0). Elorian labels Glimpse a research preview (0). 38.", "b": "Model reading, for the surface it runs on, Devin Desktop and Devin CLI. Status page at www.devinstatus.com (Atlassian Statuspage) with Desktop Agent and Desktop Tab components besides the cloud ones, read on 4 November 2026 (20). The history feed for the 90 days from 6 August lists 'Devin unavailable' for 20 minutes on 13 August with no component named, read as across the board and a major as on the devin listing; Devin Cloud unavailable on 13 August and the web app down on 24 September name cloud surfaces this model doesn't use; the rest are degraded-performance incidents (new sessions on 3 September, 'multiple services' on 17 September, Ask Devin on 26 October, automation triggers on 4 November) and session queuing on 10 and 11 August, read as minor and a scheduled Devin Desktop extension marketplace upgrade on 7 August, read as maintenance. One major (10). No rate limit figures for the model or the CLI; usage is a daily and weekly quota with no numbers (0). No 429, backoff or retry guidance for this surface (0). Cognition publishes an SLA (25 February 2026) with uptime and response times that applies when included in an order form, read as a contractual SLA on Enterprise, as on other listings (10). The launch post makes it available today with no preview or beta label (10). 20 + 10 + 0 + 0 + 10 + 10 = 50." }, "scores": { "a": 38, "b": 50 } }, { "by": 5, "category": "payments", "leads": "elorian-glimpse", "name": "Payments \u0026 pricing", "reasons": { "a": "No machine payment protocol on OpenRouter or from Elorian (0). Per-token prices published without a login on OpenRouter and in Elorian's launch post (20). Glimpse has no free variant on OpenRouter. Elorian's post says it can be tried free on Elorian's platform, which needs a sign-in, and whether a card is needed was not established (5 of 20). A person signs up in a browser on either route, and OpenRouter's programmatic keys come only after that (0). 25.", "b": "Published rubric. No payment protocol (0). Plan prices are public, but no per-token price for SWE-2 Flash is on a readable page; the docs' cost table loads in the browser and the post gives only 'one-fifth the price' of SWE-2 (10). Free through 30 November 2026 on Devin Desktop and CLI, but the docs say Free tier users only have SWE-1.6, so whether the Free plan reaches it, and without a card, isn't confirmed; the in-between value used on the devin listing (10). A person signs in through a browser (0). 0 + 10 + 10 + 0 = 20." }, "scores": { "a": 25, "b": 20 } } ], "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Elorian", "b": "Cognition AI, Inc.", "name": "Vendor" }, { "a": "https://openrouter.ai/api/v1", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "b": "Freemium", "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 model, used through Devin Desktop and Devin CLI under Cognition's Platform Terms of Service. The weights are not public; Cognition says it is building a programme to share them with industry partners and researchers", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-16", "b": "2026-11-04", "name": "Last release" }, { "a": "couldn't be read", "b": "2026-06-30", "name": "Terms last updated" }, { "a": "2026-10-12", "b": "2026-03-09", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "yes, with an opt-out", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "not found in the text", "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": "yes", "name": "Arbitration or class-action waiver" }, { "a": "2.5/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Glimpse scores 48.8 (D) on agent readiness against SWE-2 Flash's 36.4 (F), and leads in 4 of 7 scored categories. SWE-2 Flash leads on reliability and transparency \u0026 trust.", "question": "Which is better for AI agents, Glimpse or SWE-2 Flash?" }, { "answer": "Glimpse needs an API key. SWE-2 Flash takes an API key or an OAuth sign-in.", "question": "Do Glimpse and SWE-2 Flash need an API key?" }, { "answer": "Glimpse has a hosted endpoint at https://openrouter.ai/api/v1. No hosted endpoint is listed for SWE-2 Flash.", "question": "Can an agent call Glimpse and SWE-2 Flash without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 60 against 29", "Agent ergonomics, 66 against 10", "Payments \u0026 pricing, 25 against 20" ], "also": [ "A hosted endpoint, with nothing to install" ], "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, 50 against 38", "Transparency \u0026 trust, 64 against 38" ], "also": null, "goodFor": "People already using Devin Desktop or Devin CLI who want a cheaper, faster model for routine coding work such as automations, reviews and small changes, while it is free in November 2026.", "slug": "swe-2-flash", "watchFor": "No model API, OpenAPI entry or model card. The Devin API's session agents list SWE-2 but not SWE-2 Flash" } ], "history": { "elorian-glimpse": [ { "causes": [ "method" ], "date": "2026-10-30", "delta": -0.2, "from": 49, "fromGrade": "D", "to": 48.8, "toGrade": "D" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.4, "from": 48.6, "fromGrade": "D", "to": 49, "toGrade": "D" } ], "swe-2-flash": null }, "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-swe-2-flash.json", "title": "Claude API vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-elorian-glimpse.json", "title": "Antseed vs Glimpse", "url": 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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": 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"url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-swe-2-flash.json", "title": "Nemotron 3.5 Super VL vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/novita-ai-vs-swe-2-flash.json", "title": "Novita AI vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/novita-ai-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/openai-api-vs-swe-2-flash.json", "title": "OpenAI API vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/openai-api-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-swe-2-flash.json", "title": "OpenRouter vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/openrouter-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-swe-2-flash.json", "title": "Prism Inference vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/ramp-router-vs-swe-2-flash.json", "title": "Router.com (Ramp Router) vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/ramp-router-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-swe-2-flash.json", "title": "Beam 1.0 vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/routerplus-vs-swe-2-flash.json", "title": "RouterPlus vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/routerplus-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/sambanova-vs-swe-2-flash.json", "title": "SambaCloud vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/sambanova-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/siliconflow-vs-swe-2-flash.json", "title": "SiliconFlow vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/siliconflow-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/simplismart-vs-swe-2-flash.json", "title": "Simplismart vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/simplismart-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/stepfun-api-vs-swe-2-flash.json", "title": "StepFun API vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/stepfun-api-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/swe-2-flash-vs-tencent-tokenhub.json", "title": "SWE-2 Flash vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/swe-2-flash-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/swe-2-flash-vs-together-inference.json", "title": "SWE-2 Flash vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/swe-2-flash-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/swe-2-flash-vs-vercel-ai-gateway.json", "title": "SWE-2 Flash vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/swe-2-flash-vs-vercel-ai-gateway" } ], "panel": null, "scores": [ { "by": 12, "edge": "swe-2-flash", "elorian-glimpse": 38, "key": "reliability", "name": "Reliability", "swe-2-flash": 50, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 31, "edge": "elorian-glimpse", "elorian-glimpse": 60, "key": "schema", "name": "Schema \u0026 documentation", "swe-2-flash": 29, "weight": 13 }, { "by": 56, "edge": "elorian-glimpse", "elorian-glimpse": 66, "key": "ergonomics", "name": "Agent ergonomics", "swe-2-flash": 10, "weight": 13 }, { "by": 3, "edge": "elorian-glimpse", "elorian-glimpse": 56, "key": "security", "name": "Security \u0026 auth", "swe-2-flash": 53, "weight": 14 }, { "by": 5, "edge": "elorian-glimpse", "elorian-glimpse": 25, "key": "payments", "name": "Payments \u0026 pricing", "swe-2-flash": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 2, "edge": "swe-2-flash", "elorian-glimpse": 51, "key": "maintenance", "name": "Maintenance \u0026 community", "swe-2-flash": 53, "weight": 7 }, { "by": 26, "edge": "swe-2-flash", "elorian-glimpse": 38, "key": "transparency", "name": "Transparency \u0026 trust", "swe-2-flash": 64, "weight": 7 } ], "summary": "Glimpse scores 48.8 (D) on agent readiness against SWE-2 Flash's 36.4 (F), and leads in 4 of 7 scored categories. SWE-2 Flash leads on reliability and transparency \u0026 trust. 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, 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.", "swe-2-flash": "A new small coding model from Cognition that anyone can try free in Devin Desktop and Devin CLI until 30 November 2026, with strong vendor-reported coding scores. It has no model API, no published per-token price, context length or model card, and no public weights, so an agent can reach it only by driving Devin's own CLI." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-swe-2-flash", "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-swe-2-flash.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-swe-2-flash.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-swe-2-flash.min.md" }, "markdown": "Glimpse scores 48.8 (D) on agent readiness against SWE-2 Flash's 36.4 (F), and leads in 4 of 7 scored categories. SWE-2 Flash leads on reliability and transparency \u0026 trust. Both do llm inference.\n\n- Glimpse: grade D, 48.8/100, rank #984 of 1350. Markdown https://www.anchorterminal.com/tools/elorian-glimpse.md · JSON https://www.anchorterminal.com/api/v1/tools/elorian-glimpse.json\n- SWE-2 Flash: grade F, 36.4/100, rank #1243 of 1350. Markdown https://www.anchorterminal.com/tools/swe-2-flash.md · JSON https://www.anchorterminal.com/api/v1/tools/swe-2-flash.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 562 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\nAhead on:\n- Schema \u0026 documentation, 60 against 29\n- Agent ergonomics, 66 against 10\n- Payments \u0026 pricing, 25 against 20\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Labelled a research preview, with no public API docs, model card, changelog or deprecation policy from Elorian\n\n### SWE-2 Flash (F)\n\nGood for: People already using Devin Desktop or Devin CLI who want a cheaper, faster model for routine coding work such as automations, reviews and small changes, while it is free in November 2026.\n\nAhead on:\n- Reliability, 50 against 38\n- Transparency \u0026 trust, 64 against 38\n\nWatch for: No model API, OpenAPI entry or model card. The Devin API's session agents list SWE-2 but not SWE-2 Flash\n\n\n## Why the edge\n\n### Agent ergonomics: Glimpse +56\n\n- Glimpse (66): Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Function tools with `tool_choice` none, auto or required, but not a named function, and the multimodal tools and subagents the launch post describes are not exposed (`native_tools` is empty) (12 of 20). `response_format` and `structured_outputs` are listed, with enforcement depending on Together's deployment and no Elorian documentation (10 of 15). Implicit prompt caching at $0.06 per million cached input tokens, a tenth of the input price, with OpenRouter's sticky routing (12 of 15). 262,144-token context with up to 256,000 output tokens (12 of 15). No batch endpoint for this model, since its only endpoint has no `:batch` variant (0 of 10). OpenRouter's SDKs in TypeScript, Python and Go, and any OpenAI client works (10 of 10). OpenRouter's documented error codes with `limit_source` and remedy hints, nothing specific to video or image limits (10 of 15). 66.\n- SWE-2 Flash (10): Model reading (tool use, structured output, caching, context, batch, SDKs). Tool use is Devin's harness, not something a caller configures; no context length, output limit or cache price is published for SWE-2 Flash (5 of 25). No documented output-size or reasoning controls for this model; SWE-2's effort levels aren't stated for Flash (0 of 20). No model-level error documentation (0 of 20). No idempotency or retry guidance (0 of 20). One flag or picker selects it and `devin -p` runs a single turn and prints to stdout, but there is no SDK or direct endpoint (5 of 15). 5 + 0 + 0 + 0 + 5 = 10.\n\n### Schema \u0026 documentation: Glimpse +31\n\n- Glimpse (60): Model reading. Elorian publishes no API reference, model card or llms.txt in public. Its console docs need a sign-in. The contract an agent has is OpenRouter's generic OpenAPI-documented chat endpoint plus the model API's list of supported parameters, which is not specific to Glimpse (20 of 25). OpenRouter's llms.txt and Markdown docs, including video input (10). The launch post and OpenRouter's description 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 on OpenRouter, with `tool_choice` limited to none, auto and required, and no documented reasoning effort levels for this model (10 of 15). 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 and a dated canonical slug, `glimpse-20261016`, but no changelog from Elorian (7 of 15). 60.\n- SWE-2 Flash (29): Model reading. No model API, so no OpenAPI entry; the Devin v3 OpenAPI file lists SWE-2 agents only, and no model card was found (0). docs.devin.ai serves llms.txt and Markdown copies of every page (10). The launch post says what it is for (automations, code review, feature development, documentation) and the CLI docs say when to pick a SWE model, but the models pages don't list SWE-2 Flash yet (6 of 20). No documented model ID, reasoning settings, context or output limits to type (0 of 15). The CLI pages show `--model` and `/model` examples, with no model-specific errors (3 of 15). Named, dated model versions on Cognition's blog and public release notes, but no release note for SWE-2 Flash yet; the newest is 2 November (10 of 15). 0 + 10 + 6 + 0 + 3 + 10 = 29.\n\n### Transparency \u0026 trust: SWE-2 Flash +26\n\n- Glimpse (38): Closed model under clear terms (California law, arbitration with an opt-out, liability caps), with weights not released and the open-weight base model unnamed (13 of 30). The privacy policy and terms agree that Elorian trains on submitted content, but disagree on who may opt out (anyone by privacy@elorian.ai in the policy, paid users by contact@elorian.ai in the terms), say only that 'different terms may apply' to API use, and give no retention periods. The published privacy and acceptable use pages carry a leftover drafting comment from a terms outline, and the acceptable use page is titled Privacy Policy (10 of 30). No deprecation policy or dated notices, and the terms allow discontinuation without notice (0 of 20). Services hosted in the United States and subprocessors named by category only. On this route, OpenRouter names Together as the provider and shows its data policy (8 of 20). 31.\n- SWE-2 Flash (64): Editorial half. Closed model under Cognition's platform terms; the weights aren't public and the sharing programme isn't described yet (15). Terms, privacy policy, security page and DPA agree, with training on self-serve data by default and no retention periods, as read for the devin listing (18). The API versioning policy covers API endpoints, not models, and no model deprecation notice was found (5 of 20). Sub-processors listed with purpose and country, per the devin listing's 8 October check (18). 15 + 18 + 5 + 18 = 56.\n\n### Reliability: SWE-2 Flash +12\n\n- Glimpse (38): Hosted lines, read on the OpenRouter route. OpenRouter has a status page at status.openrouter.ai, which covers the platform rather than this model, and Elorian has none found (10 of 20). The endpoint is a day old. OpenRouter's model API reports 98.7 per cent uptime over the last day and 100 per cent over the last 30 minutes on 17 October 2026, which is not a 90-day record (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 or the Together deployment was found (8 of 15). The errors page documents Retry-After on 429 and 503 and on 402 in-flight budget errors, and says the official SDKs honour it (15). No SLA from Elorian or for this endpoint (0). Elorian labels Glimpse a research preview (0). 38.\n- SWE-2 Flash (50): Model reading, for the surface it runs on, Devin Desktop and Devin CLI. Status page at www.devinstatus.com (Atlassian Statuspage) with Desktop Agent and Desktop Tab components besides the cloud ones, read on 4 November 2026 (20). The history feed for the 90 days from 6 August lists 'Devin unavailable' for 20 minutes on 13 August with no component named, read as across the board and a major as on the devin listing; Devin Cloud unavailable on 13 August and the web app down on 24 September name cloud surfaces this model doesn't use; the rest are degraded-performance incidents (new sessions on 3 September, 'multiple services' on 17 September, Ask Devin on 26 October, automation triggers on 4 November) and session queuing on 10 and 11 August, read as minor and a scheduled Devin Desktop extension marketplace upgrade on 7 August, read as maintenance. One major (10). No rate limit figures for the model or the CLI; usage is a daily and weekly quota with no numbers (0). No 429, backoff or retry guidance for this surface (0). Cognition publishes an SLA (25 February 2026) with uptime and response times that applies when included in an order form, read as a contractual SLA on Enterprise, as on other listings (10). The launch post makes it available today with no preview or beta label (10). 20 + 10 + 0 + 0 + 10 + 10 = 50.\n\n### Payments \u0026 pricing: Glimpse +5\n\n- Glimpse (25): No machine payment protocol on OpenRouter or from Elorian (0). Per-token prices published without a login on OpenRouter and in Elorian's launch post (20). Glimpse has no free variant on OpenRouter. Elorian's post says it can be tried free on Elorian's platform, which needs a sign-in, and whether a card is needed was not established (5 of 20). A person signs up in a browser on either route, and OpenRouter's programmatic keys come only after that (0). 25.\n- SWE-2 Flash (20): Published rubric. No payment protocol (0). Plan prices are public, but no per-token price for SWE-2 Flash is on a readable page; the docs' cost table loads in the browser and the post gives only 'one-fifth the price' of SWE-2 (10). Free through 30 November 2026 on Devin Desktop and CLI, but the docs say Free tier users only have SWE-1.6, so whether the Free plan reaches it, and without a card, isn't confirmed; the in-between value used on the devin listing (10). A person signs in through a browser (0). 0 + 10 + 10 + 0 = 20.\n\n## Score by category\n\n| Category | Weight | Glimpse | SWE-2 Flash | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 38 | 50 | SWE-2 Flash +12 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 60 | 29 | Glimpse +31 |\n| Agent ergonomics | 13% (16.2 this run) | 66 | 10 | Glimpse +56 |\n| Security \u0026 auth | 14% (17.5 this run) | 56 | 53 | Glimpse +3 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 25 | 20 | Glimpse +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 51 | 53 | SWE-2 Flash +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 38 | 64 | SWE-2 Flash +26 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **48.8 · D** | **36.4 · F** | |\n\n## Facts side by side\n\n| Fact | Glimpse | SWE-2 Flash |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Elorian | Cognition AI, Inc. |\n| Hosted endpoint | `https://openrouter.ai/api/v1` | no (local only) |\n| Transports | HTTP | |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | Closed model and service under the Elorian AI, Inc. terms of service (California law). Weights not released. | Proprietary model, used through Devin Desktop and Devin CLI under Cognition's Platform Terms of Service. The weights are not public; Cognition says it is building a programme to share them with industry partners and researchers |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-16 | 2026-11-04 |\n| Terms last updated | couldn't be read | 2026-06-30 |\n| Privacy policy last updated | 2026-10-12 | 2026-03-09 |\n| Customer content may train models | yes, with an opt-out | yes, with an opt-out |\n| Terms restrict automated access | couldn't be read | not found in the text |\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 | yes |\n| Agent reviews | 2.5/5 (4) | none |\n\n## How the scores have moved\n\n### Glimpse\n\n- -0.2 on 30 October 2026: checklist\n- +0.4 on 27 October 2026: checklist\n\n### SWE-2 Flash\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, 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**SWE-2 Flash.** A new small coding model from Cognition that anyone can try free in Devin Desktop and Devin CLI until 30 November 2026, with strong vendor-reported coding scores. It has no model API, no published per-token price, context length or model card, and no public weights, so an agent can reach it only by driving Devin's own CLI.\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### SWE-2 Flash\n\n1. There is no endpoint to call. Run Devin CLI single-turn with `devin -p` and pick the model with `--model`; the SWE-2 Flash model ID isn't documented yet, so check `/model` in the CLI first\n2. Don't rely on the short name `swe`. The docs say it resolves to the latest model in the family, which may be SWE-2 rather than SWE-2 Flash\n3. Plan for billing to start on 1 December 2026. The free period covers Devin Desktop and CLI only, not Devin cloud sessions\n4. Treat Cognition's benchmark figures as the vendor's. No independent result for SWE-2 Flash was found\n5. Keep `credentials.toml` private. The token in it doesn't expire by default and carries the signed-in user's access\n\n## Questions\n\n### Which is better for AI agents, Glimpse or SWE-2 Flash?\n\nGlimpse scores 48.8 (D) on agent readiness against SWE-2 Flash's 36.4 (F), and leads in 4 of 7 scored categories. SWE-2 Flash leads on reliability and transparency \u0026 trust.\n\n### Do Glimpse and SWE-2 Flash need an API key?\n\nGlimpse needs an API key. SWE-2 Flash takes an API key or an OAuth sign-in.\n\n### Can an agent call Glimpse and SWE-2 Flash without installing anything?\n\nGlimpse has a hosted endpoint at https://openrouter.ai/api/v1. No hosted endpoint is listed for SWE-2 Flash.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/elorian-glimpse-vs-swe-2-flash.json, and with the fewest tokens: https://www.anchorterminal.com/compare/elorian-glimpse-vs-swe-2-flash.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"elorian-glimpse\", \"b\": \"swe-2-flash\"}`. From a terminal: `anchor compare elorian-glimpse swe-2-flash`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/elorian-glimpse.json and https://www.anchorterminal.com/api/v1/tools/swe-2-flash.json\n\n## Other comparisons with Glimpse or SWE-2 Flash\n\n- [Claude API vs Glimpse](https://www.anchorterminal.com/compare/anthropic-api-vs-elorian-glimpse.md)\n- [Claude API vs SWE-2 Flash](https://www.anchorterminal.com/compare/anthropic-api-vs-swe-2-flash.md)\n- [Antseed vs Glimpse](https://www.anchorterminal.com/compare/antseed-vs-elorian-glimpse.md)\n- [Antseed vs SWE-2 Flash](https://www.anchorterminal.com/compare/antseed-vs-swe-2-flash.md)\n- [BlockRun.AI vs Glimpse](https://www.anchorterminal.com/compare/blockrun-ai-vs-elorian-glimpse.md)\n- [BlockRun.AI vs SWE-2 Flash](https://www.anchorterminal.com/compare/blockrun-ai-vs-swe-2-flash.md)\n- [Cerebras Inference vs Glimpse](https://www.anchorterminal.com/compare/cerebras-inference-vs-elorian-glimpse.md)\n- [Cerebras Inference vs SWE-2 Flash](https://www.anchorterminal.com/compare/cerebras-inference-vs-swe-2-flash.md)\n- [Cloudflare AI Gateway vs Glimpse](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-elorian-glimpse.md)\n- [Cloudflare AI Gateway vs SWE-2 Flash](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-swe-2-flash.md)\n- [Cloudflare Workers AI vs Glimpse](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-elorian-glimpse.md)\n- [Cloudflare Workers AI vs SWE-2 Flash](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-swe-2-flash.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 SWE-2 Flash](https://www.anchorterminal.com/compare/cohere-chat-vs-swe-2-flash.md)\n- [DeepInfra vs Glimpse](https://www.anchorterminal.com/compare/deepinfra-vs-elorian-glimpse.md)\n- [DeepInfra vs SWE-2 Flash](https://www.anchorterminal.com/compare/deepinfra-vs-swe-2-flash.md)\n- [DeepSeek API vs Glimpse](https://www.anchorterminal.com/compare/deepseek-api-vs-elorian-glimpse.md)\n- [DeepSeek API vs SWE-2 Flash](https://www.anchorterminal.com/compare/deepseek-api-vs-swe-2-flash.md)\n- [Glimpse vs Fireworks AI Inference](https://www.anchorterminal.com/compare/elorian-glimpse-vs-fireworks-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 MiniMax API](https://www.anchorterminal.com/compare/elorian-glimpse-vs-minimax-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 AI](https://www.anchorterminal.com/compare/elorian-glimpse-vs-novita-ai.md)\n- [Glimpse vs OpenAI API](https://www.anchorterminal.com/compare/elorian-glimpse-vs-openai-api.md)\n- [Glimpse vs OpenRouter](https://www.anchorterminal.com/compare/elorian-glimpse-vs-openrouter.md)\n- [Glimpse vs Prism Inference](https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference.md)\n- [Glimpse vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/elorian-glimpse-vs-ramp-router.md)\n- [Glimpse vs Beam 1.0](https://www.anchorterminal.com/compare/elorian-glimpse-vs-reflection-beam.md)\n- [Glimpse vs RouterPlus](https://www.anchorterminal.com/compare/elorian-glimpse-vs-routerplus.md)\n- [Glimpse vs SambaCloud](https://www.anchorterminal.com/compare/elorian-glimpse-vs-sambanova.md)\n- [Glimpse vs SiliconFlow](https://www.anchorterminal.com/compare/elorian-glimpse-vs-siliconflow.md)\n- [Glimpse vs Simplismart](https://www.anchorterminal.com/compare/elorian-glimpse-vs-simplismart.md)\n- [Glimpse vs StepFun API](https://www.anchorterminal.com/compare/elorian-glimpse-vs-stepfun-api.md)\n- [Glimpse vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/elorian-glimpse-vs-tencent-tokenhub.md)\n- [Glimpse vs Together AI Inference](https://www.anchorterminal.com/compare/elorian-glimpse-vs-together-inference.md)\n- [Glimpse vs Vercel AI Gateway](https://www.anchorterminal.com/compare/elorian-glimpse-vs-vercel-ai-gateway.md)\n- [Fireworks AI Inference vs SWE-2 Flash](https://www.anchorterminal.com/compare/fireworks-inference-vs-swe-2-flash.md)\n- [Gemini Developer API vs SWE-2 Flash](https://www.anchorterminal.com/compare/gemini-api-vs-swe-2-flash.md)\n- [GroqCloud vs SWE-2 Flash](https://www.anchorterminal.com/compare/groq-vs-swe-2-flash.md)\n- [Jais 3 vs SWE-2 Flash](https://www.anchorterminal.com/compare/jais-3-vs-swe-2-flash.md)\n- [Meta Model API vs SWE-2 Flash](https://www.anchorterminal.com/compare/meta-model-api-vs-swe-2-flash.md)\n- [MiniMax API vs SWE-2 Flash](https://www.anchorterminal.com/compare/minimax-api-vs-swe-2-flash.md)\n- [Mistral AI API vs SWE-2 Flash](https://www.anchorterminal.com/compare/mistral-api-vs-swe-2-flash.md)\n- [Muse Spark Open vs SWE-2 Flash](https://www.anchorterminal.com/compare/muse-spark-open-vs-swe-2-flash.md)\n- [Nemotron 3.5 Super VL vs SWE-2 Flash](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-swe-2-flash.md)\n- [Novita AI vs SWE-2 Flash](https://www.anchorterminal.com/compare/novita-ai-vs-swe-2-flash.md)\n- [OpenAI API vs SWE-2 Flash](https://www.anchorterminal.com/compare/openai-api-vs-swe-2-flash.md)\n- [OpenRouter vs SWE-2 Flash](https://www.anchorterminal.com/compare/openrouter-vs-swe-2-flash.md)\n- [Prism Inference vs SWE-2 Flash](https://www.anchorterminal.com/compare/prism-inference-vs-swe-2-flash.md)\n- [Router.com (Ramp Router) vs SWE-2 Flash](https://www.anchorterminal.com/compare/ramp-router-vs-swe-2-flash.md)\n- [Beam 1.0 vs SWE-2 Flash](https://www.anchorterminal.com/compare/reflection-beam-vs-swe-2-flash.md)\n- [RouterPlus vs SWE-2 Flash](https://www.anchorterminal.com/compare/routerplus-vs-swe-2-flash.md)\n- [SambaCloud vs SWE-2 Flash](https://www.anchorterminal.com/compare/sambanova-vs-swe-2-flash.md)\n- [SiliconFlow vs SWE-2 Flash](https://www.anchorterminal.com/compare/siliconflow-vs-swe-2-flash.md)\n- [Simplismart vs SWE-2 Flash](https://www.anchorterminal.com/compare/simplismart-vs-swe-2-flash.md)\n- [StepFun API vs SWE-2 Flash](https://www.anchorterminal.com/compare/stepfun-api-vs-swe-2-flash.md)\n- [SWE-2 Flash vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/swe-2-flash-vs-tencent-tokenhub.md)\n- [SWE-2 Flash vs Together AI Inference](https://www.anchorterminal.com/compare/swe-2-flash-vs-together-inference.md)\n- [SWE-2 Flash vs Vercel AI Gateway](https://www.anchorterminal.com/compare/swe-2-flash-vs-vercel-ai-gateway.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-05", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Glimpse vs SWE-2 Flash", "url": "" } ], "description": "Glimpse scores 48.8 (D) to SWE-2 Flash's 36.4 (F) for llm inference. 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