{ "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": "2026-11-06", "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" }, "tool": { "slug": "inkling-2-small", "name": "Inkling 2 Small", "vendor": "Thinking Machines Lab", "vendorUrl": "https://thinkingmachines.ai", "kind": "model", "category": "inference", "summary": "Inkling 2 Small is Thinking Machines Lab's mixture-of-experts model, 594B total and 17B active parameters, taking text and images and returning text. It runs on Tinker for inference and fine-tuning, with open weights promised.", "url": "https://www.anchorterminal.com/tools/inkling-2-small", "markdownUrl": "https://www.anchorterminal.com/tools/inkling-2-small.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/inkling-2-small.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/inkling-2-small.json", "dns": "inkling-2-small.grade.anchorterminal.com", "license": "Proprietary for now, used through Tinker under the Tinker Terms of Use and Thinking Machines' Model Acceptable Use Policy, per the model card. Thinking Machines says it will publish the weights under Apache 2.0 the week after launch, once outside safety testing is done", "transports": [], "remoteUrl": "https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1", "packages": [], "auth": "api-key", "authNotes": "A Tinker API key from the Tinker console, read from TINKER_API_KEY and passed as the OpenAI client's api_key on the OpenAI-compatible endpoint, or used by the Tinker Python SDK. Sign-up is a browser flow at auth.thinkingmachines.ai, and the quickstart asks for payment details in Billing before training, per the tinker listing.", "pricing": "usage", "pricingNotes": "Serverless inference (beta) is $0.30 per million input tokens, $0.03 cached and $1.00 output, at 256K context. On the training side prefill is the same $0.30, sampling $1.00, and training $1.50 per million at 64K or $3.00 at 256K. No free tier is listed (checked 2026-11-06).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on Tinker's models and pricing page or its OpenAI-compatible API page, and Tinker bills against an account with payment details (checked 2026-11-06).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://thinkingmachines.ai/model-card/inkling-2-small/", "llmsTxt": "https://tinker-docs.thinkingmachines.ai/llms.txt", "capabilities": [ "inference.llm" ], "tags": [ "official", "hosted", "model", "moe", "multimodal", "vision", "reasoning", "openai-compatible", "usage-priced", "card-required", "beta", "llms-txt", "new" ], "lastRelease": "2026-11-05", "graded": true, "anchor": { "graded": true, "score": 52.1, "grade": "D", "agentReady": false, "rank": 899, "ranked": true, "rankOf": 1354, "categoryRank": 28, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 62, "maintenance": 75, "payments": 20, "reliability": 30, "schema": 70, "security": 57, "transparency": 64 }, "pending": [ "performance", "tasks" ], "breakdown": [ { "key": "reliability", "name": "Reliability", "weight": 16, "effectiveWeight": 20, "score": 30, "points": 6, "reason": "Model reading, for the surface it's called on, Tinker's serverless inference and OpenAI-compatible API. No status page found, per the tinker listing's checks of 1 October and 4 November (0), so no readable incident history (5). The only published limit is the in-flight sample cap of 2,000, per the tinker listing's 1 October check; the OpenAI-compatible page gives no numbers and says higher or more stable throughput needs the waitlist (10). The SDK retries sampling with stable request IDs, per the tinker listing's reading of the SDK repository; the OpenAI-compatible page has no retry guidance (15). No SLA found (0). Serverless inference is 'currently in beta' on the models and pricing page and the OpenAI-compatible API is labelled Beta, read 6 November (0). 0 + 5 + 10 + 15 + 0 + 0 = 30.", "checked": "2026-11-06" }, { "key": "performance", "name": "Performance", "weight": 10, "effectiveWeight": 0, "pending": true, "points": 0, "reason": "Pending. Latency is measured per call by our probes, which haven't run yet, so this run doesn't score it. Its weight is shared across the assessed categories until the first probe window closes." }, { "key": "schema", "name": "Schema \u0026 documentation", "weight": 13, "effectiveWeight": 16.25, "score": 70, "points": 11.38, "reason": "Model reading. No OpenAPI file of its own; the OpenAI-compatible chat and completions endpoints and the typed Python SDK are the contract, as the tinker listing reads it (15). llms.txt on the docs host, per the tinker listing's 1 October check (10). The model card states intended use (agentic and tool-use systems, coding assistants, chatbots, RAG), inputs, outputs and limitations, and the launch post its benchmarks (16 of 20). Model IDs, context lengths and the reasoning_effort values (none to xhigh, or 0.0 to 0.99) are documented; the tool-call format and structured output aren't, for this model (8 of 15). A Python example and an HTTP 400 for models without reasoning_effort, with no error page (6 of 15). A dated Tinker changelog and a model deprecations page, per the tinker listing (15). 15 + 10 + 16 + 8 + 6 + 15 = 70.", "checked": "2026-11-06" }, { "key": "ergonomics", "name": "Agent ergonomics", "weight": 13, "effectiveWeight": 16.25, "score": 62, "points": 10.07, "reason": "Model reading (tool use, structured output, caching, context, batch, SDKs). A 256K served context, max_tokens and a priced cache at $0.03 per million; tool use isn't documented for this model (15 of 25). Output-size controls through max_tokens, reasoning_effort and separate_reasoning (15 of 20). One documented error, the 400 for unsupported reasoning_effort (5 of 20). Stable request IDs make SDK sampling retries safe, per the tinker listing (15 of 20). OpenAI's SDKs work against the endpoint, with Tinker's Python SDK besides, and reasoning defaults to 0.9 (12 of 15). 15 + 15 + 5 + 15 + 12 = 62.", "checked": "2026-11-06" }, { "key": "security", "name": "Security \u0026 auth", "weight": 14, "effectiveWeight": 17.5, "score": 57, "points": 9.98, "reason": "Platform readings are the tinker listing's. Revocable API keys from the console, with no per-key scopes found (20). Org, team and project permissions with no read-only role (5). The model returns its own completions, no third-party content (10). get_audit_log() for admins (15). security.txt with a reporting address and no stated acknowledgement time (7). For the model reading, Tinker's terms commit not to use Customer Content for training, recorded under transparency. 20 + 5 + 10 + 15 + 7 = 57.", "checked": "2026-11-06" }, { "key": "payments", "name": "Payments \u0026 pricing", "weight": 10, "effectiveWeight": 12.5, "score": 20, "points": 2.5, "reason": "Published rubric. No payment protocol (0). Per-million-token prices for serverless inference and training published without a login on 6 November (20). No free tier listed, and the quickstart asks for payment details before training, per the tinker listing (0). Sign-up is a browser flow (0). 0 + 20 + 0 + 0 = 20.", "checked": "2026-11-06" }, { "key": "tasks", "name": "Task success", "weight": 10, "effectiveWeight": 0, "pending": true, "points": 0, "reason": "Pending. Task success needs the category task suites run through each tool, which haven't run yet, so this run doesn't score it. Its weight is shared across the assessed categories until then. A data provider's data-quality score is published on its listing now and becomes half of this category when it's scored." }, { "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7, "effectiveWeight": 8.75, "score": 75, "points": 6.56, "reason": "Model reading. Released 5 November 2026 (30). Churn and notice in place of release counts: Inkling, Inkling-Small (30 July) and Inkling 2 Small in about four months, and a deprecations page with dated retirements and a promise to 'aim to give advance notice' by email, with no stated period, per the tinker listing (10 of 20). A public changelog and a support address and Discord, per the tinker listing (10 of 15). Current official SDKs, Tinker's Python SDK and the OpenAI-compatible endpoint (15). SDK and cookbook CI, per the tinker listing (10). 30 + 10 + 10 + 15 + 10 = 75.", "checked": "2026-11-06" }, { "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7, "effectiveWeight": 8.75, "score": 64, "points": 5.6, "note": "editorial 60, provenance 68", "reason": "Editorial half. Closed for now under the Tinker Terms of Use and the Model Acceptable Use Policy, per the model card, with Apache 2.0 weights promised the week after launch (15). Terms commit not to use Customer Content for training, keep it only as needed, with a DPA and deletion on request; the privacy notice wasn't re-read, per the tinker listing (15). Dated deprecation notices with no stated period (15). The DPA annex names Google Cloud, Cloudflare, WorkOS and OpenAI with service and location (15). 15 + 15 + 15 + 15 = 60.", "checked": "2026-11-06" } ], "assessment": { "date": "2026-11-06", "basis": "public evidence", "confidence": "medium", "notes": { "ergonomics": "Model reading (tool use, structured output, caching, context, batch, SDKs). A 256K served context, max_tokens and a priced cache at $0.03 per million; tool use isn't documented for this model (15 of 25). Output-size controls through max_tokens, reasoning_effort and separate_reasoning (15 of 20). One documented error, the 400 for unsupported reasoning_effort (5 of 20). Stable request IDs make SDK sampling retries safe, per the tinker listing (15 of 20). OpenAI's SDKs work against the endpoint, with Tinker's Python SDK besides, and reasoning defaults to 0.9 (12 of 15). 15 + 15 + 5 + 15 + 12 = 62.", "maintenance": "Model reading. Released 5 November 2026 (30). Churn and notice in place of release counts: Inkling, Inkling-Small (30 July) and Inkling 2 Small in about four months, and a deprecations page with dated retirements and a promise to 'aim to give advance notice' by email, with no stated period, per the tinker listing (10 of 20). A public changelog and a support address and Discord, per the tinker listing (10 of 15). Current official SDKs, Tinker's Python SDK and the OpenAI-compatible endpoint (15). SDK and cookbook CI, per the tinker listing (10). 30 + 10 + 10 + 15 + 10 = 75.", "payments": "Published rubric. No payment protocol (0). Per-million-token prices for serverless inference and training published without a login on 6 November (20). No free tier listed, and the quickstart asks for payment details before training, per the tinker listing (0). Sign-up is a browser flow (0). 0 + 20 + 0 + 0 = 20.", "reliability": "Model reading, for the surface it's called on, Tinker's serverless inference and OpenAI-compatible API. No status page found, per the tinker listing's checks of 1 October and 4 November (0), so no readable incident history (5). The only published limit is the in-flight sample cap of 2,000, per the tinker listing's 1 October check; the OpenAI-compatible page gives no numbers and says higher or more stable throughput needs the waitlist (10). The SDK retries sampling with stable request IDs, per the tinker listing's reading of the SDK repository; the OpenAI-compatible page has no retry guidance (15). No SLA found (0). Serverless inference is 'currently in beta' on the models and pricing page and the OpenAI-compatible API is labelled Beta, read 6 November (0). 0 + 5 + 10 + 15 + 0 + 0 = 30.", "schema": "Model reading. No OpenAPI file of its own; the OpenAI-compatible chat and completions endpoints and the typed Python SDK are the contract, as the tinker listing reads it (15). llms.txt on the docs host, per the tinker listing's 1 October check (10). The model card states intended use (agentic and tool-use systems, coding assistants, chatbots, RAG), inputs, outputs and limitations, and the launch post its benchmarks (16 of 20). Model IDs, context lengths and the reasoning_effort values (none to xhigh, or 0.0 to 0.99) are documented; the tool-call format and structured output aren't, for this model (8 of 15). A Python example and an HTTP 400 for models without reasoning_effort, with no error page (6 of 15). A dated Tinker changelog and a model deprecations page, per the tinker listing (15). 15 + 10 + 16 + 8 + 6 + 15 = 70.", "security": "Platform readings are the tinker listing's. Revocable API keys from the console, with no per-key scopes found (20). Org, team and project permissions with no read-only role (5). The model returns its own completions, no third-party content (10). get_audit_log() for admins (15). security.txt with a reporting address and no stated acknowledgement time (7). For the model reading, Tinker's terms commit not to use Customer Content for training, recorded under transparency. 20 + 5 + 10 + 15 + 7 = 57.", "transparency": "Editorial half. Closed for now under the Tinker Terms of Use and the Model Acceptable Use Policy, per the model card, with Apache 2.0 weights promised the week after launch (15). Terms commit not to use Customer Content for training, keep it only as needed, with a DPA and deletion on request; the privacy notice wasn't re-read, per the tinker listing (15). Dated deprecation notices with no stated period (15). The DPA annex names Google Cloud, Cloudflare, WorkOS and OpenAI with service and location (15). 15 + 15 + 15 + 15 = 60." }, "sources": [ { "what": "launch post, 5 November 2026, architecture, training, benchmarks, safety, weights timing and Tinker availability", "url": "https://thinkingmachines.ai/news/inkling-2-small/", "seen": "2026-11-06" }, { "what": "model card, release date, licence line, architecture, context, inputs, training data, evaluations, safety and limitations", "url": "https://thinkingmachines.ai/model-card/inkling-2-small/", "seen": "2026-11-06" }, { "what": "Tinker models and pricing, model IDs, context lengths, training and serverless inference prices, beta label", "url": "https://tinker-docs.thinkingmachines.ai/tinker/models/models_and_pricing/", "seen": "2026-11-06" }, { "what": "Tinker OpenAI-compatible API, base URL, endpoints, reasoning_effort and separate_reasoning, beta label and waitlist", "url": "https://tinker-docs.thinkingmachines.ai/tinker/compatible-apis/openai/", "seen": "2026-11-06" }, { "what": "robots.txt (none served)", "url": "https://tinker-docs.thinkingmachines.ai/robots.txt", "seen": "2026-11-06" }, { "what": "Service Terms of Use with DPA and subcontractor annex (as read for the tinker listing)", "url": "https://thinkingmachines.ai/legal/terms/", "seen": "2026-11-04" }, { "what": "model deprecations (as read for the tinker listing)", "url": "https://tinker-docs.thinkingmachines.ai/tinker/model-deprecations/index.md", "seen": "2026-10-01" }, { "what": "SDK repository, retry code and audit log (as read for the tinker listing)", "url": "https://github.com/thinking-machines-lab/tinker", "seen": "2026-11-04" } ], "openQuestions": [ "Kind. Graded as a hosted model because the weights aren't public on 6 November. The founder chose to switch it to open weights when they publish ('Hosted now, weights later'): re-grade by the open-weight checklist then, with files, sizes and runtimes, and link it to inkling-small", "unchecked: whether the serverless model ID thinkingmachines/Inkling-2-Small:peft:262144:sampling-nvfp4 is accepted on the OpenAI-compatible endpoint. The pricing page lists it and the OpenAI page's examples use checkpoint paths", "unchecked: tool-call format and structured output for this model. Inkling and Inkling-Small use the inkling renderer and parsers; Inkling 2 Small's renderer wasn't read", "Platform readings (status, rate limits, retries, keys, audit log, terms, DPA, deprecations, SDK CI) are the tinker listing's of 1 October to 4 November, not re-read", "Thinking Machines' terms pause lifted by the founder on 6 November 2026 ('Person's pace is fine'). The tinker and gladly re-checks can now read their paused hosts at a person's pace", "No independent results yet; artificialanalysis.ai wasn't requested, per the rules. The 'big leap' over Inkling-Small reported in coverage isn't checked: the 30.6 is on index v5.0, and Inkling-Small's earlier 40 may be on an older version" ] }, "negative": 0, "verdict": "A new multimodal mixture-of-experts model from Thinking Machines, callable today through Tinker's OpenAI-compatible endpoint at $0.30 and $1.00 per million tokens, with strong vendor-reported coding and agent scores. Tinker's serverless inference is beta, with no status page or SLA, and the weights aren't public yet.", "bestFor": "Developers who want a capable multimodal open-family model through an OpenAI-compatible API today, or to fine-tune it on Tinker, and who can live with a beta surface until the weights are published.", "strengths": [ "OpenAI-compatible chat and completions endpoint, so the OpenAI SDKs work with a Tinker key", "$0.30 input, $0.03 cached and $1.00 output per million tokens, published without a login", "Text and image input, a 256K context on Tinker and up to 1M per the model card", "reasoning_effort from none to xhigh or a number, with reasoning returned separately", "A model card with intended use, limitations, training data sources and safety testing that includes outside red-teaming", "Thinking Machines says Apache 2.0 weights follow a week after launch" ], "weaknesses": [ "Serverless inference and the OpenAI-compatible API are both labelled beta, with a waitlist for higher throughput", "No status page, SLA or published rate limits for serverless inference", "Tool-calling format and structured output aren't documented for this model", "No free tier, and sign-up is a browser flow with payment details", "Benchmark results are Thinking Machines' own, with no independent results yet" ], "agentNotes": [ "Call https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1 with an OpenAI client and TINKER_API_KEY, using /chat/completions", "The serverless model ID is thinkingmachines/Inkling-2-Small:peft:262144:sampling-nvfp4, per Tinker's pricing page. The OpenAI page's examples use your own checkpoint paths, so confirm it before relying on it", "Pass reasoning_effort as none to xhigh or 0.0 to 0.99 (default 0.9); reasoning arrives in reasoning_content unless separate_reasoning is false", "Keep images between 40 and 4096 px a side, per the model card", "Validate JSON yourself, since structured output and the tool-call format aren't documented", "Plan for a move to open weights. When they publish, the open-weights listing will carry sizes and runtimes" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 52.1 } ], "editorialScores": { "ergonomics": 62, "maintenance": 75, "payments": 20, "reliability": 30, "schema": 70, "security": 57, "transparency": 60 }, "provenanceScore": 68, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 }, "scoreHistory": [ { "date": "2026-11-06", "grade": "D", "kind": "listed", "method": "0.7", "score": 52.1 } ] }, "connect": { "http": "curl https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1/chat/completions \\\n -H \"Authorization: Bearer $TINKER_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"model\": \"thinkingmachines/Inkling-2-Small:peft:262144:sampling-nvfp4\",\n \"messages\": [{\"role\": \"user\", \"content\": \"Hello!\"}],\n \"reasoning_effort\": \"low\"\n }'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/inkling-2-small" }, "sameCompany": [ "inkling", "inkling-small" ], "sameModel": [ "tinker" ], "notable": [ "Released on 5 November 2026 on Tinker only, with closed weights. Thinking Machines says the Apache 2.0 weights follow 'next week' after external safety testing and red-teaming, and other platforms 'in the coming weeks' (https://thinkingmachines.ai/news/inkling-2-small/)", "Thinking Machines' table gives Artificial Analysis Intelligence Index v5.0 30.6, which its intro rounds to 31, plus DeepSWE v1.1 72.1%, SWE-Bench Pro v2 Hard 86.3%, BrowseComp 90.2% and Terminal Bench v4.0 13.1%. Vendor-reported, not our measurement (https://thinkingmachines.ai/model-card/inkling-2-small/)", "Trained natively in NVFP4 on 8.4T then 3.8T tokens and later phases, with training stages at 512K, 1M and 256K context (https://thinkingmachines.ai/news/inkling-2-small/)", "The model card says it remains 'materially below frontier capabilities' in agentic capability, deception and sabotage potential, and the launch post says it trails closed models such as GPT-6.1 Sol on alignment evaluations (https://thinkingmachines.ai/model-card/inkling-2-small/)", "Cheaper on Tinker's serverless inference than its predecessor, Inkling-Small, on cached input and output ($0.03 and $1.00 against $0.06 and $1.20), with input the same $0.30 (https://tinker-docs.thinkingmachines.ai/tinker/models/models_and_pricing/)" ], "area": "models", "details": [ { "label": "Surface graded", "value": "The model as Tinker serves it, through serverless inference (beta) and the OpenAI-compatible API (beta), read from the launch post, the model card, Tinker's models and pricing page and its OpenAI-compatible API page on 6 November 2026. Platform-level readings (status, keys, audit log, terms, DPA, deprecations) are the tinker listing's of 1 October to 4 November. No account was made and nothing was called" }, { "label": "Model", "value": "A 48-layer decoder-only transformer with a sparse mixture of experts, 8 of 384 experts per token, hybrid local and global attention, 594B total and 17B active parameters. A 292M-parameter vision encoder based on Perception Encoder. MXFP8 and NVFP4 numerics. Text and images in, text out. No audio, which Inkling and Inkling-Small take" }, { "label": "Where it runs", "value": "Tinker's serverless inference (beta) at 256K context and its training and sampling at 64K or 256K, the Tinker Playground for chat, and the OpenAI-compatible endpoint, whose /chat/completions and /completions are both supported. Thinking Machines says other platforms will follow in the coming weeks" }, { "label": "Weights", "value": "Not public on 6 November 2026. The launch post says the full weights will be released under Apache 2.0 'next week after the completion of external safety testing and red-teaming', and that Tinker checkpoints become downloadable then. The model card's licence line is the Tinker Terms of Use with the Model Acceptable Use Policy" }, { "label": "Context", "value": "Up to 1M tokens per the model card, and evaluations used a 1M-token trajectory limit. Tinker serves 256K for serverless inference and 64K or 256K for training" }, { "label": "Pricing", "value": "Serverless inference $0.30 input, $0.03 cached input and $1.00 output per million tokens. Training side prefill $0.30, cached $0.03, sample $1.00, train $1.50 (64K) or $3.00 (256K). Inkling-Small's serverless prices are $0.30, $0.06 and $1.20, Inkling's $1.00, $0.17 and $4.05" }, { "label": "Thinking Machines' figures", "value": "Vendor-reported. AA Intelligence Index v5.0 30.6, Vals Index v2.2 56.1%, DeepSWE v1.1 72.1%, SWE-Bench Pro v2 Hard 86.3%, Vibe Code Bench v1.1 81.6%, FrontierCode v2.0 25.4%, Terminal Bench v4.0 13.1%, BrowseComp 90.2%, MMMU Pro 81.6%, HLE-Diamond 28.7%, Vals Finance Index 61.5%. Several rows are copied from Artificial Analysis, Vals, Scale AI and others by the publisher" }, { "label": "Safety", "value": "Pre-release testing for sycophancy, manipulation, psychological harm and over-refusal, with multi-turn outside red-teaming, CBRN and cyber testing including refusal-suppressed variants, and a loss-of-control assessment that puts it 'materially below frontier capabilities'. The launch post says it trails closed models such as GPT-6.1 Sol on alignment evaluations" }, { "label": "Data use", "value": "Tinker's Service Terms of Use (10 January 2026) commit not to use Customer Content for model training or fine-tuning, with a DPA and deletion on request, as read for the tinker listing" } ], "provenance": { "legalEntity": "Thinking Machines Lab, Inc. (named as provider on the model card)", "domain": "thinkingmachines.ai", "domainRegistered": "", "domainNote": "Not looked up: RDAP isn't requested under the 1 November 2026 rules.", "endpointOnVendorDomain": true, "terms": "https://thinkingmachines.ai/legal/terms/", "privacy": "https://thinkingmachines.ai/legal/privacy/", "statusPage": "", "changelog": "https://tinker-docs.thinkingmachines.ai/changelog/", "securityTxt": "valid", "checked": "2026-11-06", "notes": [ "The launch post and model card are on thinkingmachines.ai and name Thinking Machines Lab, Inc. as provider. The OpenAI-compatible endpoint is on thinkingmachines.dev, which Tinker's own docs give as the production base URL, so it's read as a domain the vendor controls; its registration wasn't looked up.", "Thinking Machines' terms bar scraping the Services, which the 4 November re-check read as a ban and paused. The founder decided on 6 November 2026 that reading at a person's pace is fine, so four pages were read one at a time: the launch post, the model card, the models and pricing page and the OpenAI-compatible API page. tinker-docs.thinkingmachines.ai has no robots.txt; thinkingmachines.ai's has no rules.", "security.txt lists security-reports@thinkingmachines.ai and expires 2029-07-13, per the 2 November reading.", "No status page was found." ], "score": 68, "checks": [ { "check": "Legal entity named", "value": "Thinking Machines Lab, Inc. (named as provider on the model card)", "points": 20, "max": 20, "state": "ok" }, { "check": "Domain age", "value": "thinkingmachines.ai, no registry record we could read", "points": 0, "max": 15, "state": "no" }, { "check": "Endpoint on the vendor's domain", "value": "tinker.thinkingmachines.dev", "points": 15, "max": 15, "state": "ok" }, { "check": "Terms of service", "value": "published, not read by us yet", "points": 4, "max": 10, "state": "part" }, { "check": "Privacy policy", "value": "published, not read by us yet", "points": 4, "max": 10, "state": "part" }, { "check": "Status page", "value": "not found", "points": 0, "max": 10, "state": "no" }, { "check": "Changelog", "value": "published", "points": 10, "max": 10, "state": "ok" }, { "check": "security.txt", "value": "valid", "points": 10, "max": 10, "state": "ok" }, { "check": "People named", "value": "2 named with their role, 2 with a public profile", "points": 10, "max": 10, "state": "ok" }, { "check": "Support route", "value": "a support address, help pages, a community", "points": 5, "max": 5, "state": "ok" } ] }, "humans": { "slug": "inkling-2-small", "checked": "2026-10-28", "company": "Thinking Machines Lab", "people": [ { "name": "Mira Murati", "role": "Co-founder and CEO", "founder": true, "x": "https://x.com/miramurati", "bio": "Mira Murati co-founded Thinking Machines Lab and has led it as chief executive since its launch in February 2025. She was OpenAI's chief technology officer from 2022 to 2024, leading work on ChatGPT, DALL-E, Codex and Sora, and was briefly its interim CEO in November 2023. Earlier she worked at Tesla and Leap Motion.", "bioSources": [ "https://en.wikipedia.org/wiki/Mira_Murati" ], "page": "/people/mira-murati/" }, { "name": "John Schulman", "role": "Co-founder and Chief Scientist", "founder": true, "x": "https://x.com/johnschulman2", "bio": "John Schulman is chief scientist at Thinking Machines Lab, which he joined in February 2025. He co-founded OpenAI in 2015 and led the reinforcement learning team that created ChatGPT, drawing on his work on Trust Region Policy Optimization and proximal policy optimization. He spent a few months at Anthropic in between.", "bioSources": [ "https://en.wikipedia.org/wiki/John_Schulman" ], "page": "/people/john-schulman-2/" } ], "peopleNote": "Thinking Machines' own site has no team page and signs its posts as the company. Its NVIDIA partnership post of 10 March 2026 quotes Mira Murati as cofounder and CEO, and John Schulman's own homepage, read on 28 October 2026, says he is cofounder and chief scientist. Wikipedia names Lilian Weng among the founding team and says Barret Zoph and Luke Metz went back to OpenAI in January 2026 and Andrew Tulloch left for Meta (https://en.wikipedia.org/wiki/Thinking_Machines_Lab); none of them is listed, since no first-hand page we read names their current role. Roster may be incomplete.", "companySocial": { "linkedin": "https://www.linkedin.com/company/thinkingmachinesai/", "x": "https://x.com/thinkymachines" }, "support": { "emails": [ "tinker@thinkingmachines.ai" ], "urls": [ "https://tinker-docs.thinkingmachines.ai/support/", "https://github.com/thinking-machines-lab/tinker-feedback/issues" ], "community": [ { "label": "Tinker Discord", "url": "https://discord.gg/KqqEZNX88c", "kind": "discord" }, { "label": "Tinker feedback", "url": "https://github.com/thinking-machines-lab/tinker-feedback/issues", "kind": "github" }, { "label": "Model card", "url": "https://thinkingmachines.ai/model-card/inkling-2-small/", "kind": "link" } ] }, "sources": [ "https://thinkingmachines.ai/news/nvidia-partnership/", "https://x.com/miramurati", "https://thinkingmachines.ai/", "https://thinkingmachines.ai", "https://www.linkedin.com/company/thinkingmachinesai/", "https://tinker-docs.thinkingmachines.ai/support/", "https://thinkingmachines.ai/news/inkling-2-small/" ], "ownership": { "status": "private", "totalRaised": { "amount": "$2B", "asOf": "2025-07", "source": "https://techcrunch.com/2025/07/15/mira-muratis-thinking-machines-lab-is-worth-12b-in-seed-round/" }, "valuation": { "amount": "$12B", "basis": "stated", "round": "Seed", "asOf": "2025-07", "source": "https://techcrunch.com/2025/07/15/mira-muratis-thinking-machines-lab-is-worth-12b-in-seed-round/" }, "checked": "2026-10-28", "sources": [ "https://techcrunch.com/2025/07/15/mira-muratis-thinking-machines-lab-is-worth-12b-in-seed-round/", "https://thinkingmachines.ai/news/nvidia-partnership/", "https://thinkingmachines.ai/news/" ] }, "investors": [ { "name": "Andreessen Horowitz", "kind": "vc", "rounds": [ "Seed, July 2025" ], "lead": true, "url": "https://a16z.com", "source": "https://techcrunch.com/2025/07/15/mira-muratis-thinking-machines-lab-is-worth-12b-in-seed-round/", "quote": "Thinking Machines Lab, the AI startup founded by OpenAI's former chief technology officer Mira Murati, officially closed a $2 billion seed round led by Andreessen Horowitz on Monday, a company spokesperson told TechCrunch.", "page": "/investors/andreessen-horowitz/" }, { "name": "NVIDIA", "kind": "corporate", "rounds": [ "Seed, July 2025", "Strategic investment, March 2026" ], "url": "https://www.nvidia.com", "source": "https://thinkingmachines.ai/news/nvidia-partnership/", "quote": "NVIDIA has also made a significant investment in Thinking Machines Lab to support the company's long-term growth.", "page": "/investors/nvidia/" }, { "name": "Accel", "kind": "vc", "rounds": [ "Seed, July 2025" ], "url": "https://www.accel.com", "source": "https://techcrunch.com/2025/07/15/mira-muratis-thinking-machines-lab-is-worth-12b-in-seed-round/", "quote": "The deal, which includes participation from Nvidia, Accel, ServiceNow, CISCO, AMD, and Jane Street, values the startup at $12 billion, the spokesperson said.", "page": "/investors/accel/" }, { "name": "ServiceNow", "kind": "corporate", "rounds": [ "Seed, July 2025" ], "url": "https://www.servicenow.com", "source": "https://techcrunch.com/2025/07/15/mira-muratis-thinking-machines-lab-is-worth-12b-in-seed-round/", "quote": "The deal, which includes participation from Nvidia, Accel, ServiceNow, CISCO, AMD, and Jane Street, values the startup at $12 billion, the spokesperson said.", "page": "/investors/servicenow/" }, { "name": "Cisco", "firm": "Cisco Investments", "kind": "corporate", "rounds": [ "Seed, July 2025" ], "url": "https://www.cisco.com", "source": "https://techcrunch.com/2025/07/15/mira-muratis-thinking-machines-lab-is-worth-12b-in-seed-round/", "quote": "The deal, which includes participation from Nvidia, Accel, ServiceNow, CISCO, AMD, and Jane Street, values the startup at $12 billion, the spokesperson said.", "page": "/investors/cisco-investments/" }, { "name": "AMD", "kind": "corporate", "rounds": [ "Seed, July 2025" ], "url": "https://www.amd.com", "source": "https://techcrunch.com/2025/07/15/mira-muratis-thinking-machines-lab-is-worth-12b-in-seed-round/", "quote": "The deal, which includes participation from Nvidia, Accel, ServiceNow, CISCO, AMD, and Jane Street, values the startup at $12 billion, the spokesperson said.", "page": "/investors/amd/" }, { "name": "Jane Street", "kind": "other", "rounds": [ "Seed, July 2025" ], "url": "https://www.janestreet.com", "source": "https://techcrunch.com/2025/07/15/mira-muratis-thinking-machines-lab-is-worth-12b-in-seed-round/", "quote": "The deal, which includes participation from Nvidia, Accel, ServiceNow, CISCO, AMD, and Jane Street, values the startup at $12 billion, the spokesperson said.", "page": "/investors/jane-street/" } ] }, "pageJsonUrl": "https://www.anchorterminal.com/tools/inkling-2-small.json", "live": { "slug": "inkling-2-small", "probe": { "target": "https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1", "method": "get", "lastAt": "2026-11-06T09:02:47.69083929Z", "lastOk": true, "lastStatus": 404, "lastMs": 410, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 396, "p95ms24h": 431, "samples24h": 39, "samples30d": 39, "days": [ { "date": "2026-11-06", "probes": 39, "ok": 39 } ] }, "updatedAt": "2026-11-06T09:02:47.69083929Z" } } }