{ "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": "2026-10-18T00:30:48.43024472Z", "lastOk": true, "lastStatus": 404, "lastMs": 220, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 156, "p95ms24h": 248, "samples24h": 27, "samples30d": 27, "days": [ { "date": "2026-10-17", "probes": 21, "ok": 21 }, { "date": "2026-10-18", "probes": 6, "ok": 6 } ] }, "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": "2026-10-18T00:30:48.43024472Z" } }, "answer": "Meta Model API scores 52.2 (D) on agent readiness against Glimpse's 48.6 (D), and leads in 4 of 7 scored categories. Glimpse leads on payments \u0026 pricing and maintenance \u0026 community.", "b": { "slug": "meta-model-api", "name": "Meta Model API", "vendor": "Meta", "vendorUrl": "https://dev.meta.ai", "kind": "model", "category": "inference", "summary": "Meta Model API is Meta's pay-as-you-go API for its hosted Muse models, including Muse Wonder and Muse Spark, through OpenAI-style Responses and Chat Completions endpoints and an Anthropic-style Messages endpoint, plus image, speech and segmentation routes.", "url": "https://www.anchorterminal.com/tools/meta-model-api", "markdownUrl": "https://www.anchorterminal.com/tools/meta-model-api.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/meta-model-api.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/meta-model-api.json", "license": "Closed service under the Meta Model API Terms of Service (last updated 9 October 2026), with Meta Platforms, Inc., or Meta Platforms Ireland Limited in the European Region, as the contracting party.", "transports": [ "http" ], "remoteUrl": "https://api.meta.ai/v1", "packages": [], "auth": "api-key", "authNotes": "A bearer API key created on the API keys tab of the Model API dashboard after a browser sign-up with email, mobile number, Facebook, Google or GitHub. Keys belong to a team, are shown once and are revoked by deletion. No key scopes were found, and every key on a team shares the team's rate limits.", "pricing": "usage", "pricingNotes": "Muse Wonder is $4.00 per million input tokens, $0.20 cached and $20.00 per million output tokens, Standard mode only (checked 2026-10-12). Muse Spark is $1.25, $0.15 and $4.25, or $0.10, $0.002 and $0.20 in Contributor mode, where Meta may train on the content. Billed in arrears to a card. No free allowance was found.", "priceSummary": "$2.50 / 1k req", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in dev.meta.ai/llms.txt, the pricing page, the API reference or the billing help pages, checked 12 October 2026. Usage is charged to a card at a payment threshold or on the 1st of each month.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-12" }, "docsUrl": "https://dev.meta.ai/docs/overview", "llmsTxt": "https://dev.meta.ai/llms.txt", "capabilities": [ "inference.llm", "image.generate", "image.edit", "speech.stt", "speech.streaming" ], "tags": [ "official", "hosted", "model", "usage-priced", "closed-source", "llms-txt", "multimodal", "streaming", "openai-compatible", "anthropic-compatible", "card-required" ], "lastRelease": "2026-10-12", "graded": true, "anchor": { "graded": true, "score": 52.2, "grade": "D", "agentReady": false, "rank": 828, "ranked": true, "rankOf": 1133, "categoryRank": 20, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 46, "payments": 20, "reliability": 40, "schema": 60, "security": 64, "transparency": 52 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-12" }, "negative": 0, "verdict": "Meta Model API serves Muse Wonder, in preview since 12 October 2026, and Muse Spark with 1M-token context, constrained JSON Schema output, automatic prompt caching and per-token prices published without a login. Standard-mode content is not used for training. There's no free allowance, status history, OpenAPI file, deprecation policy or way to force a tool call.", "bestFor": "Long-running agent and coding work over text, images, video, audio and PDFs with a 1M-token context, where training must stay off by default.", "strengths": [ "Muse Wonder and Muse Spark take text, image, video, audio and PDF input with a 1,048,576-token context window", "Per-token prices, per-model rate limits and rate-limit headers published without a login", "Content sent in Standard mode is not used to train Meta models, and training use is opt-in through `-contributor` model IDs", "Responses, Chat Completions and Messages endpoints, so the OpenAI and Anthropic SDKs work with a base-URL change", "llms.txt and a Markdown copy of every docs page, with an error guide that gives the Retry-After value for each retryable error" ], "weaknesses": [ "Muse Wonder is labelled a preview, and no deprecation policy or notice period was found", "No free API allowance found, and billing is set up with a card", "No status page with history. The docs' status link redirects to the home page, and `/v1/status` reports only the current state", "`tool_choice` accepts only `auto`, so a call can't be forced or ruled out", "No OpenAPI file, batch endpoint or Model API changelog found, and API keys have no scopes" ], "agentNotes": [ "Use `muse-wonder-1.0` for long multi-step work and `muse-spark-1.3` for cheaper, high-volume calls. Both take the same requests", "Keep personal or confidential data away from `-contributor` model IDs. Meta may train on that content", "Honour Retry-After on 429 and 503, which is 60 seconds for `service_overloaded`, and check `GET https://api.meta.ai/v1/status`, which needs no key", "Pass the key to the OpenAI SDK explicitly or set `OPENAI_API_KEY`. The SDK doesn't read `MODEL_API_KEY`", "Leave `tool_choice` at `auto`. The docs say `none` and `required` are not supported" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 52.2 } ], "editorialScores": { "ergonomics": 75, "maintenance": 46, "payments": 20, "reliability": 40, "schema": 60, "security": 64, "transparency": 41 }, "provenanceScore": 63 }, "connect": { "http": "curl -X POST \"https://api.meta.ai/v1/responses\" \\\n -H \"Authorization: Bearer $MODEL_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\": \"muse-spark-1.3\", \"input\": \"What is the capital of France?\"}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/meta-model-api" }, "sameCompany": [ "muse-spark-open", "muse-code" ], "area": "models", "unitPrices": [ { "item": "Muse Wonder input", "unit": "1m-tokens", "usd": 4, "note": "Standard mode, muse-wonder-1.0. No long-context premium." }, { "item": "Muse Wonder cached input", "unit": "1m-tokens", "usd": 0.2 }, { "item": "Muse Wonder output", "unit": "1m-tokens", "usd": 20 }, { "item": "Muse Spark input", "unit": "1m-tokens", "usd": 1.25, "note": "Standard mode, muse-spark-1.3, 1.2 and 1.1." }, { "item": "Muse Spark cached input", "unit": "1m-tokens", "usd": 0.15 }, { "item": "Muse Spark output", "unit": "1m-tokens", "usd": 4.25 }, { "item": "Muse Spark input, Contributor mode", "unit": "1m-tokens", "usd": 0.1, "note": "Meta may use the content to train its models." }, { "item": "Muse Spark output, Contributor mode", "unit": "1m-tokens", "usd": 0.2, "note": "Cached input is $0.002 per million tokens." }, { "item": "Web search grounding", "unit": "1k-requests", "usd": 2.5, "note": "Per 1,000 search queries, on top of token cost." }, { "item": "Muse Image generated image", "unit": "image", "usd": 0.01 } ], "provenance": { "legalEntity": "Meta Platforms, Inc.", "domain": "meta.ai", "domainRegistered": "2017-12-16", "endpointOnVendorDomain": true, "terms": "https://dev.meta.ai/legal/terms-of-service", "privacy": "https://www.facebook.com/privacy/policy/", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-12", "notes": [ "The terms (last updated 9 October 2026) are an agreement with Meta Platforms, Inc., or Meta Platforms Ireland Limited for users in the European Region. The model card names the same two.", "The privacy field is the Meta Privacy Policy, which the terms link. www.facebook.com's robots.txt asks readers like ours not to fetch it, as the 8 October policy reading records, so it wasn't read. The terms also link a subprocessor list at forwork.meta.com/legal/mfw-subprocessor-list/ and the Meta Global Processor Terms, neither of which was read.", "RDAP for meta.ai gives a registration date of 16 December 2017. The API answers at api.meta.ai.", "No status page. The error guide links dev.meta.ai/status, which redirects to the home page. `GET /v1/status` is an unauthenticated health endpoint with no history.", "No Model API changelog was found. The only changelog on dev.meta.ai is Muse Code's.", "dev.meta.ai/.well-known/security.txt returns 404. www.meta.ai's robots.txt disallows ClaudeBot, so its security.txt wasn't requested. www.facebook.com/.well-known/security.txt is valid until 11 November 2026 and points to bugbounty.meta.com.", "developer.meta.com/ai/ redirects to dev.meta.ai." ], "score": 63 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/meta-model-api.json", "live": { "slug": "meta-model-api", "probe": { "target": "https://api.meta.ai/v1", "method": "get", "lastAt": "2026-10-18T00:30:58.943850511Z", "lastOk": true, "lastStatus": 404, "lastMs": 68, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 69, "p95ms24h": 157, "samples24h": 253, "samples30d": 1294, "days": [ { "date": "2026-10-12", "probes": 33, "ok": 33 }, { "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": 6, "ok": 6 } ] }, "securityTxt": { "url": "https://meta.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-17T15:52:13.77313756Z" }, "llmsTxt": { "url": "https://dev.meta.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-17T14:22:33.598652002Z" }, "pages": [ { "url": "https://dev.meta.ai/legal/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-17T22:58:39.8926845Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0ef10c66f1b3" } ], "updatedAt": "2026-10-18T00:30:58.943850511Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Elorian", "b": "Meta", "name": "Vendor" }, { "a": "https://openrouter.ai/api/v1", "b": "https://api.meta.ai/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": "Closed service under the Meta Model API Terms of Service (last updated 9 October 2026), with Meta Platforms, Inc., or Meta Platforms Ireland Limited in the European Region, as the contracting party.", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-16", "b": "2026-10-12", "name": "Last release" }, { "a": "", "b": "", "name": "Terms last updated" }, { "a": "", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "", "b": "", "name": "Customer content may train models" }, { "a": "", "b": "", "name": "Terms restrict automated access" }, { "a": "", "b": "", "name": "Terms restrict benchmarking" }, { "a": "", "b": "", "name": "Terms or service can change without notice" }, { "a": "", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "2.5/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Meta Model API scores 52.2 (D) on agent readiness against Glimpse's 48.6 (D), and leads in 4 of 7 scored categories. Glimpse leads on payments \u0026 pricing and maintenance \u0026 community.", "question": "Which is better for AI agents, Glimpse or Meta Model API?" }, { "answer": "Both need an API key.", "question": "Do Glimpse and Meta Model API need an API key?" }, { "answer": "Yes. Glimpse has a hosted endpoint at https://openrouter.ai/api/v1 and Meta Model API at https://api.meta.ai/v1.", "question": "Can an agent call Glimpse and Meta Model API without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 25 against 20", "Maintenance \u0026 community, 51 against 46" ], "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": [ "Agent ergonomics, 75 against 66", "Security \u0026 auth, 64 against 56", "Transparency \u0026 trust, 52 against 36" ], "also": null, "goodFor": "Long-running agent and coding work over text, images, video, audio and PDFs with a 1M-token context, where training must stay off by default.", "slug": "meta-model-api", "watchFor": "Muse Wonder is labelled a preview, and no deprecation policy or notice period was found" } ], "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-meta-model-api.json", "title": "Claude API vs Meta Model API", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "Antseed vs Meta Model API", "url": "https://www.anchorterminal.com/compare/antseed-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "BlockRun.AI vs Meta Model API", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "Cloudflare AI Gateway vs Meta Model API", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "Cloudflare Workers AI vs Meta Model API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "Cohere Chat API (Command models) vs Meta Model API", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "DeepInfra vs Meta Model API", "url": "https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "DeepSeek API vs Meta Model API", "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-meta-model-api" }, { "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-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-prism-inference.json", "title": "Glimpse vs Prism Inference", "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-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-meta-model-api.json", "title": "Gemini Developer API vs Meta Model API", "url": "https://www.anchorterminal.com/compare/gemini-api-vs-meta-model-api" }, { "json": "https://www.anchorterminal.com/compare/groq-vs-meta-model-api.json", "title": "GroqCloud vs Meta Model API", "url": "https://www.anchorterminal.com/compare/groq-vs-meta-model-api" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-meta-model-api.json", "title": "Jais 3 vs Meta Model API", "url": "https://www.anchorterminal.com/compare/jais-3-vs-meta-model-api" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-mistral-api.json", "title": "Meta Model API vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-muse-spark-open.json", "title": "Meta Model API vs Muse Spark Open", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-muse-spark-open" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-nemotron-3-5-super-vl.json", "title": "Meta Model API vs Nemotron 3.5 Super VL", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-nemotron-3-5-super-vl" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-novita-ai.json", "title": "Meta Model API vs Novita AI", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-novita-ai" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-openai-api.json", "title": "Meta Model API vs OpenAI API", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-openai-api" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-openrouter.json", "title": "Meta Model API vs OpenRouter", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-openrouter" }, { "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/meta-model-api-vs-reflection-beam.json", "title": "Meta Model API vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-routerplus.json", "title": "Meta Model API vs RouterPlus", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-sambanova.json", "title": "Meta Model API vs SambaCloud", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-siliconflow.json", "title": "Meta Model API vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-stepfun-api.json", "title": "Meta Model API vs StepFun API", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-vercel-ai-gateway.json", "title": "Meta Model API vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-vercel-ai-gateway" } ], "scores": [ { "by": 2, "edge": "meta-model-api", "elorian-glimpse": 38, "key": "reliability", "meta-model-api": 40, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 0, "edge": "", "elorian-glimpse": 60, "key": "schema", "meta-model-api": 60, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 9, "edge": "meta-model-api", "elorian-glimpse": 66, "key": "ergonomics", "meta-model-api": 75, "name": "Agent ergonomics", "weight": 13 }, { "by": 8, "edge": "meta-model-api", "elorian-glimpse": 56, "key": "security", "meta-model-api": 64, "name": "Security \u0026 auth", "weight": 14 }, { "by": 5, "edge": "elorian-glimpse", "elorian-glimpse": 25, "key": "payments", "meta-model-api": 20, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 5, "edge": "elorian-glimpse", "elorian-glimpse": 51, "key": "maintenance", "meta-model-api": 46, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 16, "edge": "meta-model-api", "elorian-glimpse": 36, "key": "transparency", "meta-model-api": 52, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Meta Model API scores 52.2 (D) on agent readiness against Glimpse's 48.6 (D), and leads in 4 of 7 scored categories. Glimpse leads on payments \u0026 pricing and maintenance \u0026 community. 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.", "meta-model-api": "Meta Model API serves Muse Wonder, in preview since 12 October 2026, and Muse Spark with 1M-token context, constrained JSON Schema output, automatic prompt caching and per-token prices published without a login. Standard-mode content is not used for training. There's no free allowance, status history, OpenAPI file, deprecation policy or way to force a tool call." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-meta-model-api", "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-meta-model-api.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-meta-model-api.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-meta-model-api.min.md" }, "markdown": "Meta Model API scores 52.2 (D) on agent readiness against Glimpse's 48.6 (D), and leads in 4 of 7 scored categories. Glimpse leads on payments \u0026 pricing and maintenance \u0026 community. 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- Meta Model API: grade D, 52.2/100, rank #828 of 1133. Markdown https://www.anchorterminal.com/tools/meta-model-api.md · JSON https://www.anchorterminal.com/api/v1/tools/meta-model-api.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\nAhead on:\n- Payments \u0026 pricing, 25 against 20\n- Maintenance \u0026 community, 51 against 46\n\nWatch for: Labelled a research preview, with no public API docs, model card, changelog or deprecation policy from Elorian\n\n### Meta Model API (D)\n\nGood for: Long-running agent and coding work over text, images, video, audio and PDFs with a 1M-token context, where training must stay off by default.\n\nAhead on:\n- Agent ergonomics, 75 against 66\n- Security \u0026 auth, 64 against 56\n- Transparency \u0026 trust, 52 against 36\n\nWatch for: Muse Wonder is labelled a preview, and no deprecation policy or notice period was found\n\n\n## Score by category\n\n| Category | Weight | Glimpse | Meta Model API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 38 | 40 | Meta Model API +2 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 60 | 60 | even |\n| Agent ergonomics | 13% (16.2 this run) | 66 | 75 | Meta Model API +9 |\n| Security \u0026 auth | 14% (17.5 this run) | 56 | 64 | Meta Model API +8 |\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 | 46 | Glimpse +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 36 | 52 | Meta Model API +16 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **48.6 · D** | **52.2 · D** | |\n\n## Facts side by side\n\n| Fact | Glimpse | Meta Model API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Elorian | Meta |\n| Hosted endpoint | `https://openrouter.ai/api/v1` | `https://api.meta.ai/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. | Closed service under the Meta Model API Terms of Service (last updated 9 October 2026), with Meta Platforms, Inc., or Meta Platforms Ireland Limited in the European Region, as the contracting party. |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-16 | 2026-10-12 |\n| Terms last updated | | |\n| Privacy policy last updated | | couldn't be read |\n| Customer content may train models | | |\n| Terms restrict automated access | | |\n| Terms restrict benchmarking | | |\n| Terms or service can change without notice | | |\n| Arbitration or class-action waiver | | |\n| Agent reviews | 2.5/5 (4) | none |\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**Meta Model API.** Meta Model API serves Muse Wonder, in preview since 12 October 2026, and Muse Spark with 1M-token context, constrained JSON Schema output, automatic prompt caching and per-token prices published without a login. Standard-mode content is not used for training. There's no free allowance, status history, OpenAPI file, deprecation policy or way to force a tool call.\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### Meta Model API\n\n1. Use `muse-wonder-1.0` for long multi-step work and `muse-spark-1.3` for cheaper, high-volume calls. Both take the same requests\n2. Keep personal or confidential data away from `-contributor` model IDs. Meta may train on that content\n3. Honour Retry-After on 429 and 503, which is 60 seconds for `service_overloaded`, and check `GET https://api.meta.ai/v1/status`, which needs no key\n4. Pass the key to the OpenAI SDK explicitly or set `OPENAI_API_KEY`. The SDK doesn't read `MODEL_API_KEY`\n5. Leave `tool_choice` at `auto`. The docs say `none` and `required` are not supported\n\n## Questions\n\n### Which is better for AI agents, Glimpse or Meta Model API?\n\nMeta Model API scores 52.2 (D) on agent readiness against Glimpse's 48.6 (D), and leads in 4 of 7 scored categories. Glimpse leads on payments \u0026 pricing and maintenance \u0026 community.\n\n### Do Glimpse and Meta Model API need an API key?\n\nBoth need an API key.\n\n### Can an agent call Glimpse and Meta Model API without installing anything?\n\nYes. Glimpse has a hosted endpoint at https://openrouter.ai/api/v1 and Meta Model API at https://api.meta.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/elorian-glimpse-vs-meta-model-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/elorian-glimpse-vs-meta-model-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"elorian-glimpse\", \"b\": \"meta-model-api\"}`. From a terminal: `anchor compare elorian-glimpse meta-model-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/elorian-glimpse.json and https://www.anchorterminal.com/api/v1/tools/meta-model-api.json\n\n## Other comparisons with Glimpse or Meta Model API\n\n- [Claude API vs Glimpse](https://www.anchorterminal.com/compare/anthropic-api-vs-elorian-glimpse.md)\n- [Claude API vs Meta Model API](https://www.anchorterminal.com/compare/anthropic-api-vs-meta-model-api.md)\n- [Antseed vs Glimpse](https://www.anchorterminal.com/compare/antseed-vs-elorian-glimpse.md)\n- [Antseed vs Meta Model API](https://www.anchorterminal.com/compare/antseed-vs-meta-model-api.md)\n- [BlockRun.AI vs Glimpse](https://www.anchorterminal.com/compare/blockrun-ai-vs-elorian-glimpse.md)\n- [BlockRun.AI vs Meta Model API](https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api.md)\n- [Cloudflare AI Gateway vs Glimpse](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-elorian-glimpse.md)\n- [Cloudflare AI Gateway vs Meta Model API](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-meta-model-api.md)\n- [Cloudflare Workers AI vs Glimpse](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-elorian-glimpse.md)\n- [Cloudflare Workers AI vs Meta Model API](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-meta-model-api.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 Meta Model API](https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api.md)\n- [DeepInfra vs Glimpse](https://www.anchorterminal.com/compare/deepinfra-vs-elorian-glimpse.md)\n- [DeepInfra vs Meta Model API](https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api.md)\n- [DeepSeek API vs Glimpse](https://www.anchorterminal.com/compare/deepseek-api-vs-elorian-glimpse.md)\n- [DeepSeek API vs Meta Model API](https://www.anchorterminal.com/compare/deepseek-api-vs-meta-model-api.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 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 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 StepFun API](https://www.anchorterminal.com/compare/elorian-glimpse-vs-stepfun-api.md)\n- [Glimpse vs Vercel AI Gateway](https://www.anchorterminal.com/compare/elorian-glimpse-vs-vercel-ai-gateway.md)\n- [Gemini Developer API vs Meta Model API](https://www.anchorterminal.com/compare/gemini-api-vs-meta-model-api.md)\n- [GroqCloud vs Meta Model API](https://www.anchorterminal.com/compare/groq-vs-meta-model-api.md)\n- [Jais 3 vs Meta Model API](https://www.anchorterminal.com/compare/jais-3-vs-meta-model-api.md)\n- [Meta Model API vs Mistral AI API](https://www.anchorterminal.com/compare/meta-model-api-vs-mistral-api.md)\n- [Meta Model API vs Muse Spark Open](https://www.anchorterminal.com/compare/meta-model-api-vs-muse-spark-open.md)\n- [Meta Model API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/meta-model-api-vs-nemotron-3-5-super-vl.md)\n- [Meta Model API vs Novita AI](https://www.anchorterminal.com/compare/meta-model-api-vs-novita-ai.md)\n- [Meta Model API vs OpenAI API](https://www.anchorterminal.com/compare/meta-model-api-vs-openai-api.md)\n- [Meta Model API vs OpenRouter](https://www.anchorterminal.com/compare/meta-model-api-vs-openrouter.md)\n- [Meta Model API vs Prism Inference](https://www.anchorterminal.com/compare/meta-model-api-vs-prism-inference.md)\n- [Meta Model API vs Beam 1.0](https://www.anchorterminal.com/compare/meta-model-api-vs-reflection-beam.md)\n- [Meta Model API vs RouterPlus](https://www.anchorterminal.com/compare/meta-model-api-vs-routerplus.md)\n- [Meta Model API vs SambaCloud](https://www.anchorterminal.com/compare/meta-model-api-vs-sambanova.md)\n- [Meta Model API vs SiliconFlow](https://www.anchorterminal.com/compare/meta-model-api-vs-siliconflow.md)\n- [Meta Model API vs StepFun API](https://www.anchorterminal.com/compare/meta-model-api-vs-stepfun-api.md)\n- [Meta Model API vs Vercel AI Gateway](https://www.anchorterminal.com/compare/meta-model-api-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 product, a report or a 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