{ "data": { "a": { "slug": "deepinfra", "name": "DeepInfra", "vendor": "Deep Infra Inc.", "vendorUrl": "https://deepinfra.com", "kind": "model", "category": "inference", "summary": "DeepInfra is a hosted inference API for open-weight and some third-party models, covering chat, embeddings, reranking, image, video and speech. It answers OpenAI-style and Anthropic-style calls at api.deepinfra.com with a Bearer key.", "url": "https://www.anchorterminal.com/tools/deepinfra", "markdownUrl": "https://www.anchorterminal.com/tools/deepinfra.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/deepinfra.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/deepinfra.json", "dns": "deepinfra.grade.anchorterminal.com", "repo": "https://github.com/deepinfra/deepinfra-python", "license": "Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT", "transports": [ "http" ], "remoteUrl": "https://api.deepinfra.com/v1/openai", "packages": [ { "registry": "pypi", "name": "deepinfra" }, { "registry": "npm", "name": "deepinfra" } ], "auth": "api-key", "authNotes": "Self-serve Bearer key from the dashboard at https://deepinfra.com/dash/api_keys after a browser sign-up with Google, GitHub, email or Okta SSO. The Anthropic-style routes also take the key in `x-api-key`. Keys can carry an IP allowlist and a monthly spending limit, and a key can mint scoped JWTs limited by model, expiry and spend.", "pricing": "usage", "pricingNotes": "Pay per token, image, audio minute or GPU-hour, with no free tier. An account must add a card or prepay. DeepSeek-V4-Flash-0731 costs $0.06 in and $0.18 out per 1M tokens, the priority tier is 1.5x, flex 0.8x and batch 20 per cent off (https://deepinfra.com/pricing, checked 2026-10-08).", "priceSummary": "from $0.06 / 1M in", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the docs repository, the OpenAPI document or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 21, "npmWeekly": 1250, "pypiWeekly": 50, "asOf": "2026-10-08" }, "docsUrl": "https://docs.deepinfra.com/", "rateLimitsUrl": "https://docs.deepinfra.com/account/rate-limits", "llmsTxt": "https://docs.deepinfra.com/llms.txt", "openapi": "https://api.deepinfra.com/openapi.json", "capabilities": [ "inference.llm", "inference.open-weights", "embed.text", "rerank", "image.generate", "speech.stt", "speech.tts", "compute.batch" ], "tags": [ "hosted", "model", "open-weights", "usage-based", "card-required", "openapi", "llms-txt", "openai-compatible", "anthropic-compatible", "batch", "prompt-caching", "python", "typescript", "status-page", "soc2" ], "lastRelease": "2026-10-26", "graded": true, "anchor": { "graded": true, "score": 63.7, "grade": "B", "agentReady": false, "rank": 454, "ranked": true, "rankOf": 1354, "categoryRank": 15, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 77, "maintenance": 61, "payments": 20, "reliability": 75, "schema": 69, "security": 64, "transparency": 68 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-02" }, "negative": 0, "verdict": "The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model (five in October, three more due by 3 November), and there is no changelog or SLA.", "bestFor": "Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.", "strengths": [ "`GET /v1/openai/models` answered without a key on 2 November 2026 with 173 models, each with context length, output cap and per-token prices", "Scoped JWTs limit a token to named models, an expiry and a USD spending limit, and each API key can carry an IP allowlist and a monthly cap", "The terms commit to zero data retention and no training on Customer Data, and say that clause controls over the privacy policy and docs", "Batch API at 20 per cent off, a flex tier at 0.8x, prompt caching with cached-input prices and server-side fallback across up to four models", "Status page with 90-day history for the API, the website and 168 models, plus a dated list of scheduled deprecations" ], "weaknesses": [ "A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id. Eight models were redirected or scheduled between 8 October and 3 November 2026", "The status feed's 50 newest items are automated major-outage observations on single models, several longer than 24 hours, with no written incident notes", "No free tier. The pricing page says an account must add a card or prepay before using the service", "No changelog, SLA, error reference or `Retry-After` header was found in the reviewed documentation", "The sub-processor list names three companies, while the docs say Google and Anthropic receive data for their models" ], "agentNotes": [ "Call `GET https://api.deepinfra.com/v1/openai/models` at start-up for ids, context sizes and prices. No key is needed", "Check the `model` field of each response. After a deprecation date, requests to the old id are served by a replacement model", "Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key", "Stay under 200 concurrent requests per model. On 429 `engine_overloaded`, retry after a delay, or send `models` with up to four fallbacks", "Never inspect a JWT with `GET /v1/scoped-jwt?jwtoken=`, which puts the token in the URL. Keep credentials in the `Authorization` header" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 63.7 } ], "editorialScores": { "ergonomics": 77, "maintenance": 61, "payments": 20, "reliability": 75, "schema": 69, "security": 64, "transparency": 60 }, "provenanceScore": 75, "checked": { "categories": { "ergonomics": "2026-11-02", "maintenance": "2026-11-02", "payments": "2026-11-02", "reliability": "2026-11-02", "schema": "2026-11-02", "security": "2026-11-02", "transparency": "2026-11-02" }, "last": "2026-11-02", "lastMoved": "2026-11-02", "oldest": "2026-11-02", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install openai # or: npm install openai", "http": "curl \"https://api.deepinfra.com/v1/openai/chat/completions\" \\\n -H \"Content-Type: application/json\" \\\n -H \"Authorization: Bearer $DEEPINFRA_API_KEY\" \\\n -d '{\"model\":\"deepseek-ai/DeepSeek-V4-Flash-0731\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/deepinfra" }, "area": "models", "provenance": { "legalEntity": "Deep Infra Inc.", "domain": "deepinfra.com", "domainRegistered": "2017-12-08", "endpointOnVendorDomain": true, "terms": "https://deepinfra.com/terms", "privacy": "https://deepinfra.com/privacy", "statusPage": "https://status.deepinfra.com", "changelog": "", "securityTxt": "none", "checked": "2026-11-02", "notes": [ "The Terms of Service, last modified 15 October 2026, name Deep Infra Inc., a Delaware corporation, with California law and JAMS arbitration in San Francisco. They are written around Service Orders and govern the services, the API included.", "The Privacy Policy, last modified 15 August 2026, names DeepInfra, Inc., a Delaware corporation, covers the website and the APIs, and has a section on data sent to and returned by the inference service.", "No changelog or release notes page was found in the docs index or the site map.", "https://deepinfra.com/.well-known/security.txt returns 404.", "RDAP for deepinfra.com gives a registration date of 2017-12-08.", "The API answers at api.deepinfra.com, the docs at docs.deepinfra.com and the status page at status.deepinfra.com.", "No SLA was found. The terms incorporate a data processing agreement made available at trust.deepinfra.com, where it is listed among documents available on request." ], "score": 75 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/deepinfra.json", "live": { "slug": "deepinfra", "probe": { "target": "https://api.deepinfra.com/v1/openai", "method": "get", "lastAt": "2026-11-06T09:47:24.921357387Z", "lastOk": true, "lastStatus": 404, "lastMs": 362, "authRequired": false, "uptime24h": 100, "uptime30d": 99.91, "p50ms24h": 376, "p95ms24h": 539, "samples24h": 221, "samples30d": 6963, "days": [ { "date": "2026-10-09", "probes": 169, "ok": 169 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 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": 243 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 246, "ok": 246 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 102, "ok": 102 } ], "outages": [ { "start": "2026-11-01T03:07:06.786817404Z", "end": "2026-11-01T03:30:15.593945224Z", "note": "dial tcp 38.101.151.21:443: i/o timeout" } ] }, "vendorStatus": { "page": "https://status.deepinfra.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-06T05:41:33.596945563Z" }, "versions": [ { "registry": "github", "name": "deepinfra/deepinfra-python", "version": "v0.2.1", "released": "2026-08-05", "seenAt": "2026-11-05T21:25:48.316257531Z" }, { "registry": "npm", "name": "deepinfra", "version": "2.0.2", "seenAt": "2026-11-05T21:25:47.525578941Z" }, { "registry": "pypi", "name": "deepinfra", "version": "0.3.0", "released": "2026-08-12", "seenAt": "2026-11-05T21:25:47.32314433Z" } ], "githubStars": 1, "npmWeekly": 564, "pypiWeekly": 119, "securityTxt": { "url": "https://deepinfra.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-05T15:56:05.367176774Z" }, "llmsTxt": { "url": "https://docs.deepinfra.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-05T15:25:51.454073675Z" }, "domain": { "domain": "deepinfra.com", "registered": "2017-12-08", "source": "https://rdap.verisign.com/com/v1/domain/deepinfra.com", "checkedAt": "2026-11-01T14:27:42.920488746Z" }, "pages": [ { "url": "https://status.deepinfra.com/", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-05T13:05:13.083455023Z", "changedAt": "2026-11-05T13:05:13.083455023Z", "fingerprint": "9df01e8dc017" }, { "url": "https://deepinfra.com/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-11-05T12:49:13.558756375Z", "changedAt": "2026-11-05T12:26:54.696922059Z", "fingerprint": "e74fc085a8d4" }, { "url": "https://deepinfra.com/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-11-05T12:49:15.581916472Z", "changedAt": "2026-11-05T12:26:56.765282851Z", "fingerprint": "accda89d9142" }, { "url": "https://deepinfra.com/terms", "kind": "terms", "status": 304, "checkedAt": "2026-11-05T12:49:17.573316611Z", "changedAt": "2026-11-05T12:26:58.927868568Z", "fingerprint": "8f0911b6bf53" } ], "github": { "repo": "deepinfra/deepinfra-python", "checkedAt": "2026-11-02T08:43:28.32817874Z", "stars": 1, "archived": false, "issuesEnabled": true, "pushedAt": "2026-08-12T08:03:27Z", "openIssues": 7, "openPRs": 2, "issuesOpened90d": 2, "issuesClosed90d": 0, "prsMerged90d": 2, "ci": { "branch": "main", "runs": 7, "success": 6, "failure": 1, "other": 0, "latest": "success", "latestAt": "2026-08-12T06:36:17Z" }, "replies": { "sampled": 13, "unanswered": 7, "medianDays": 3 } }, "updatedAt": "2026-11-06T09:47:24.921357387Z" } }, "answer": "DeepInfra scores 63.7 (B) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 4 of 7 scored categories. Inkling 2 Small leads on maintenance \u0026 community.", "b": { "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" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "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 } }, "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" ], "area": "models", "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 }, "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": "2026-11-06T09:47:32.967989265Z", "lastOk": true, "lastStatus": 404, "lastMs": 389, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 398, "p95ms24h": 429, "samples24h": 47, "samples30d": 47, "days": [ { "date": "2026-11-06", "probes": 47, "ok": 47 } ] }, "updatedAt": "2026-11-06T09:47:32.967989265Z" } }, "edges": [ { "by": 45, "category": "reliability", "leads": "deepinfra", "name": "Reliability", "reasons": { "a": "Hosted reading. Own status page at status.deepinfra.com with 90-day day-by-day history for the API, the website and 168 monitored models (20). On 2 November 2026 the API component shows 100 per cent over 86.7 measured days and the website 99.99 per cent, with one 8-minute degradation on 19 August 2026. The Atom feed's 50 newest items, 20 August to 30 October 2026, are all automated major-outage observations on single models, \"not an announced incident\", among them MiMo-V2.5 from 27 August to 4 September, Qwen3-TTS for 37 and 32 hours, Nemotron-3-Ultra for 25 hours and a run of short Nemotron-3.5-Lightning outages in early September. No written incident touched the API. Each observation is one model, partial under this run's rule, as together-inference's single-model monitor downtime was read, so minor only (20). The 8 October reading of 15 sat between checklist values. 200 concurrent requests per model, published (15). 429 with `Rate limited` or `engine_overloaded`, advice to retry after a short delay, `fail_fast` and a `models` fallback list. No `Retry-After` header or backoff figures were found (10 of 15). No SLA found. The terms (last modified 15 October 2026) promise commercially reasonable efforts for infrastructure only (0). Generally available (10). 20 + 20 + 15 + 10 + 0 + 10 = 75.", "b": "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." }, "scores": { "a": 75, "b": 30 } }, { "by": 15, "category": "ergonomics", "leads": "deepinfra", "name": "Agent ergonomics", "reasons": { "a": "Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Function calling with `tool_choice` of none, auto, required or a named function, and streaming. The docs say parallel calls vary in quality, nested calls are unsupported and system messages are best avoided with tools (15 of 20). `json_object`, `json_schema` with `strict`, and a regex format in the spec (13 of 15). Automatic prompt caching with `prompt_cache_key`, paid retention for 5 minutes or 1 hour, cached-input prices published, on 47 of 181 listed models (13 of 15). Context of 1,048,576 tokens on DeepSeek V4, Kimi K3 and GLM 5.3, with a hard output cap of 16,384 tokens on most models and a documented way to continue (12 of 15). Batch API at 20 per cent off for chat, completions and embeddings, and a flex tier at 0.8x (10). The OpenAI and Anthropic clients work with a changed base URL. The Python package `deepinfra` 0.3.0 dates from 12 August 2026, and npm listed 2.0.2 from May 2024 on 8 October (7 of 10). 429 carries an `engine_overloaded` code. Native routes return a bare `error` string, and no list of codes was found (7 of 15).", "b": "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." }, "scores": { "a": 77, "b": 62 } }, { "by": 14, "category": "maintenance", "leads": "inkling-2-small", "name": "Maintenance \u0026 community", "reasons": { "a": "Model reading. The docs repository changed on 26 October 2026, and on 22 October documented Nemotron 3.5 image embeddings and reranker scores (30). Deprecated models get at least one week's notice by email, then requests are forwarded to a replacement (5 of 12). Churn. In the 90 days to 2 November four redirect dates passed (8, 9, 12 and 25 October, five models), Kimi-K2.7-Code was deprecated before 28 September, and three more are scheduled for 2 and 3 November. Three or more removal dates in 90 days give 0, as groq and fireworks-inference were read (0 of 8, was 4 when the five were only scheduled). No changelog. Support is by Discord and a feedback address, and the docs repository is public (7 of 15). Replies on the SDK repositories were not examined (3 of 10). Python `deepinfra` 0.3.0 from 12 August 2026 with a changelog. The Node repository tagged 2.1.0 on 1 September 2026, and npm couldn't be read on 2 November, so its 8 October reading of 2.0.2 from 8 May 2024 stands (9 of 15). CI workflows in both SDK repositories (7 of 10). 30 + 5 + 0 + 7 + 3 + 9 + 7 = 61.", "b": "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." }, "scores": { "a": 61, "b": 75 } }, { "by": 7, "category": "security", "leads": "deepinfra", "name": "Security \u0026 auth", "reasons": { "a": "Model reading. Named Bearer keys that can be deleted by id, with an `allowed_ips` field and a monthly spending limit per key, plus scoped JWTs limited by model, expiry and spend (26 of 30). Less 10 because `GET /v1/scoped-jwt?jwtoken=` is still the documented way to inspect a JWT and puts a live token in the query string. The two deprecated routes that carried the API token in the URL path are no longer in the OpenAPI document (16 of 30). The terms say Customer Data is not used to train, fine-tune or improve any model. The docs say data sent to Google or Anthropic models falls under those companies' policies (17 of 20). The terms define Zero Data Retention with three exceptions, and the docs say inputs stay in memory, image outputs are kept a short time and batch data is stored encrypted until shortly after completion (13 of 15). Usage per key, request costs and deployment logs are in the API. No account audit log was found (8 of 15). The trust centre at trust.deepinfra.com now loads and lists SOC 2, ISO 27001 and HIPAA as compliant, with reports and policies on request, and the privacy policy says the same. No security.txt, disclosure policy or bug bounty was found (10 of 20, as other listings with certification claims and no disclosure route).", "b": "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." }, "scores": { "a": 64, "b": 57 } } ], "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Deep Infra Inc.", "b": "Thinking Machines Lab", "name": "Vendor" }, { "a": "https://api.deepinfra.com/v1/openai", "b": "https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT", "b": "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", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-26", "b": "2026-11-05", "name": "Last release" }, { "a": "2026-08-17", "b": "not read yet", "name": "Terms last updated" }, { "a": "2026-08-15", "b": "not read yet", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not read yet", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not read yet", "name": "Terms restrict automated access" }, { "a": "yes", "b": "not read yet", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not read yet", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "not read yet", "name": "Arbitration or class-action waiver" }, { "a": "21 stars, 1.2k npm/wk, 50 PyPI/wk", "b": "none", "name": "Popularity" }, { "a": "3.5/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "DeepInfra scores 63.7 (B) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 4 of 7 scored categories. Inkling 2 Small leads on maintenance \u0026 community.", "question": "Which is better for AI agents, DeepInfra or Inkling 2 Small?" }, { "answer": "Both need an API key.", "question": "Do DeepInfra and Inkling 2 Small need an API key?" }, { "answer": "Yes. DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai and Inkling 2 Small at https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1.", "question": "Can an agent call DeepInfra and Inkling 2 Small without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 75 against 30", "Agent ergonomics, 77 against 62", "Security \u0026 auth, 64 against 57" ], "also": null, "goodFor": "Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.", "slug": "deepinfra", "watchFor": "A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id. Eight models were redirected or scheduled between 8 October and 3 November 2026" }, { "aheadOn": [ "Maintenance \u0026 community, 75 against 61" ], "also": null, "goodFor": "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.", "slug": "inkling-2-small", "watchFor": "Serverless inference and the OpenAI-compatible API are both labelled beta, with a waitlist for higher throughput" } ], "history": { "deepinfra": [ { "causes": [ "product", "correction" ], "date": "2026-11-02", "delta": 0.6, "from": 63.1, "fromGrade": "B", "to": 63.7, "toGrade": "B" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 63, "fromGrade": "B", "to": 63.1, "toGrade": "B" } ], "inkling-2-small": null }, "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "json": 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"https://www.anchorterminal.com/compare/deepinfra-vs-muse-spark-open" }, { "json": "https://www.anchorterminal.com/compare/deepinfra-vs-nemotron-3-5-super-vl.json", "title": "DeepInfra vs Nemotron 3.5 Super VL", "url": "https://www.anchorterminal.com/compare/deepinfra-vs-nemotron-3-5-super-vl" }, { "json": "https://www.anchorterminal.com/compare/deepinfra-vs-novita-ai.json", "title": "DeepInfra vs Novita AI", "url": "https://www.anchorterminal.com/compare/deepinfra-vs-novita-ai" }, { "json": "https://www.anchorterminal.com/compare/deepinfra-vs-openai-api.json", "title": "DeepInfra vs OpenAI API", "url": "https://www.anchorterminal.com/compare/deepinfra-vs-openai-api" }, { "json": "https://www.anchorterminal.com/compare/deepinfra-vs-openrouter.json", "title": "DeepInfra vs OpenRouter", "url": "https://www.anchorterminal.com/compare/deepinfra-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference.json", "title": "DeepInfra vs Prism Inference", 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"https://www.anchorterminal.com/compare/inkling-2-small-vs-openai-api.json", "title": "Inkling 2 Small vs OpenAI API", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-openai-api" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-openrouter.json", "title": "Inkling 2 Small vs OpenRouter", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-prism-inference.json", "title": "Inkling 2 Small vs Prism Inference", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-ramp-router.json", "title": "Inkling 2 Small vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-reflection-beam.json", "title": "Inkling 2 Small vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-routerplus.json", "title": "Inkling 2 Small vs RouterPlus", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-sambanova.json", "title": "Inkling 2 Small vs SambaCloud", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-siliconflow.json", "title": "Inkling 2 Small vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-simplismart.json", "title": "Inkling 2 Small vs Simplismart", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-simplismart" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-stepfun-api.json", "title": "Inkling 2 Small vs StepFun API", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-swe-2-flash.json", "title": "Inkling 2 Small vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-tencent-tokenhub.json", "title": "Inkling 2 Small vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-together-inference.json", "title": "Inkling 2 Small vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-vercel-ai-gateway.json", "title": "Inkling 2 Small vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-vercel-ai-gateway" } ], "panel": null, "scores": [ { "by": 45, "deepinfra": 75, "edge": "deepinfra", "inkling-2-small": 30, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 1, "deepinfra": 69, "edge": "inkling-2-small", "inkling-2-small": 70, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 15, "deepinfra": 77, "edge": "deepinfra", "inkling-2-small": 62, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 7, "deepinfra": 64, "edge": "deepinfra", "inkling-2-small": 57, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "deepinfra": 20, "edge": "", "inkling-2-small": 20, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 14, "deepinfra": 61, "edge": "inkling-2-small", "inkling-2-small": 75, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 4, "deepinfra": 68, "edge": "deepinfra", "inkling-2-small": 64, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "DeepInfra scores 63.7 (B) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 4 of 7 scored categories. Inkling 2 Small leads on maintenance \u0026 community. Both do llm inference.", "tasks": null, "tutorials": [], "verdicts": { "deepinfra": "The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model (five in October, three more due by 3 November), and there is no changelog or SLA.", "inkling-2-small": "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/deepinfra-vs-inkling-2-small", "json": "https://www.anchorterminal.com/compare/deepinfra-vs-inkling-2-small.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/deepinfra-vs-inkling-2-small.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/deepinfra-vs-inkling-2-small.min.md" }, "markdown": "DeepInfra scores 63.7 (B) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 4 of 7 scored categories. Inkling 2 Small leads on maintenance \u0026 community. Both do llm inference.\n\n- DeepInfra: grade B, 63.7/100, rank #454 of 1354. Markdown https://www.anchorterminal.com/tools/deepinfra.md · JSON https://www.anchorterminal.com/api/v1/tools/deepinfra.json\n- Inkling 2 Small: grade D, 52.1/100, rank #899 of 1354. Markdown https://www.anchorterminal.com/tools/inkling-2-small.md · JSON https://www.anchorterminal.com/api/v1/tools/inkling-2-small.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 596 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### DeepInfra (B)\n\nGood for: Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.\n\nAhead on:\n- Reliability, 75 against 30\n- Agent ergonomics, 77 against 62\n- Security \u0026 auth, 64 against 57\n\nWatch for: A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id. Eight models were redirected or scheduled between 8 October and 3 November 2026\n\n### Inkling 2 Small (D)\n\nGood for: 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.\n\nAhead on:\n- Maintenance \u0026 community, 75 against 61\n\nWatch for: Serverless inference and the OpenAI-compatible API are both labelled beta, with a waitlist for higher throughput\n\n\n## Why the edge\n\n### Reliability: DeepInfra +45\n\n- DeepInfra (75): Hosted reading. Own status page at status.deepinfra.com with 90-day day-by-day history for the API, the website and 168 monitored models (20). On 2 November 2026 the API component shows 100 per cent over 86.7 measured days and the website 99.99 per cent, with one 8-minute degradation on 19 August 2026. The Atom feed's 50 newest items, 20 August to 30 October 2026, are all automated major-outage observations on single models, \"not an announced incident\", among them MiMo-V2.5 from 27 August to 4 September, Qwen3-TTS for 37 and 32 hours, Nemotron-3-Ultra for 25 hours and a run of short Nemotron-3.5-Lightning outages in early September. No written incident touched the API. Each observation is one model, partial under this run's rule, as together-inference's single-model monitor downtime was read, so minor only (20). The 8 October reading of 15 sat between checklist values. 200 concurrent requests per model, published (15). 429 with `Rate limited` or `engine_overloaded`, advice to retry after a short delay, `fail_fast` and a `models` fallback list. No `Retry-After` header or backoff figures were found (10 of 15). No SLA found. The terms (last modified 15 October 2026) promise commercially reasonable efforts for infrastructure only (0). Generally available (10). 20 + 20 + 15 + 10 + 0 + 10 = 75.\n- Inkling 2 Small (30): 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.\n\n### Agent ergonomics: DeepInfra +15\n\n- DeepInfra (77): Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Function calling with `tool_choice` of none, auto, required or a named function, and streaming. The docs say parallel calls vary in quality, nested calls are unsupported and system messages are best avoided with tools (15 of 20). `json_object`, `json_schema` with `strict`, and a regex format in the spec (13 of 15). Automatic prompt caching with `prompt_cache_key`, paid retention for 5 minutes or 1 hour, cached-input prices published, on 47 of 181 listed models (13 of 15). Context of 1,048,576 tokens on DeepSeek V4, Kimi K3 and GLM 5.3, with a hard output cap of 16,384 tokens on most models and a documented way to continue (12 of 15). Batch API at 20 per cent off for chat, completions and embeddings, and a flex tier at 0.8x (10). The OpenAI and Anthropic clients work with a changed base URL. The Python package `deepinfra` 0.3.0 dates from 12 August 2026, and npm listed 2.0.2 from May 2024 on 8 October (7 of 10). 429 carries an `engine_overloaded` code. Native routes return a bare `error` string, and no list of codes was found (7 of 15).\n- Inkling 2 Small (62): 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.\n\n### Maintenance \u0026 community: Inkling 2 Small +14\n\n- DeepInfra (61): Model reading. The docs repository changed on 26 October 2026, and on 22 October documented Nemotron 3.5 image embeddings and reranker scores (30). Deprecated models get at least one week's notice by email, then requests are forwarded to a replacement (5 of 12). Churn. In the 90 days to 2 November four redirect dates passed (8, 9, 12 and 25 October, five models), Kimi-K2.7-Code was deprecated before 28 September, and three more are scheduled for 2 and 3 November. Three or more removal dates in 90 days give 0, as groq and fireworks-inference were read (0 of 8, was 4 when the five were only scheduled). No changelog. Support is by Discord and a feedback address, and the docs repository is public (7 of 15). Replies on the SDK repositories were not examined (3 of 10). Python `deepinfra` 0.3.0 from 12 August 2026 with a changelog. The Node repository tagged 2.1.0 on 1 September 2026, and npm couldn't be read on 2 November, so its 8 October reading of 2.0.2 from 8 May 2024 stands (9 of 15). CI workflows in both SDK repositories (7 of 10). 30 + 5 + 0 + 7 + 3 + 9 + 7 = 61.\n- Inkling 2 Small (75): 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.\n\n### Security \u0026 auth: DeepInfra +7\n\n- DeepInfra (64): Model reading. Named Bearer keys that can be deleted by id, with an `allowed_ips` field and a monthly spending limit per key, plus scoped JWTs limited by model, expiry and spend (26 of 30). Less 10 because `GET /v1/scoped-jwt?jwtoken=` is still the documented way to inspect a JWT and puts a live token in the query string. The two deprecated routes that carried the API token in the URL path are no longer in the OpenAPI document (16 of 30). The terms say Customer Data is not used to train, fine-tune or improve any model. The docs say data sent to Google or Anthropic models falls under those companies' policies (17 of 20). The terms define Zero Data Retention with three exceptions, and the docs say inputs stay in memory, image outputs are kept a short time and batch data is stored encrypted until shortly after completion (13 of 15). Usage per key, request costs and deployment logs are in the API. No account audit log was found (8 of 15). The trust centre at trust.deepinfra.com now loads and lists SOC 2, ISO 27001 and HIPAA as compliant, with reports and policies on request, and the privacy policy says the same. No security.txt, disclosure policy or bug bounty was found (10 of 20, as other listings with certification claims and no disclosure route).\n- Inkling 2 Small (57): 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.\n\n## Score by category\n\n| Category | Weight | DeepInfra | Inkling 2 Small | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 75 | 30 | DeepInfra +45 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 69 | 70 | Inkling 2 Small +1 |\n| Agent ergonomics | 13% (16.2 this run) | 77 | 62 | DeepInfra +15 |\n| Security \u0026 auth | 14% (17.5 this run) | 64 | 57 | DeepInfra +7 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 20 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 61 | 75 | Inkling 2 Small +14 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 68 | 64 | DeepInfra +4 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **63.7 · B** | **52.1 · D** | |\n\n## Facts side by side\n\n| Fact | DeepInfra | Inkling 2 Small |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Deep Infra Inc. | Thinking Machines Lab |\n| Hosted endpoint | `https://api.deepinfra.com/v1/openai` | `https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1` |\n| Transports | HTTP | |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT | 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 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-26 | 2026-11-05 |\n| Terms last updated | 2026-08-17 | not read yet |\n| Privacy policy last updated | 2026-08-15 | not read yet |\n| Customer content may train models | not found in the text | not read yet |\n| Terms restrict automated access | not found in the text | not read yet |\n| Terms restrict benchmarking | yes | not read yet |\n| Terms or service can change without notice | not found in the text | not read yet |\n| Arbitration or class-action waiver | yes | not read yet |\n| Popularity | 21 stars, 1.2k npm/wk, 50 PyPI/wk | none |\n| Agent reviews | 3.5/5 (4) | none |\n\n## How the scores have moved\n\n### DeepInfra\n\n- +0.6 on 2 November 2026: product, correction\n- +0.1 on 27 October 2026: checklist\n\n### Inkling 2 Small\n\nNo score change since it was listed.\n\n## Verdicts\n\n**DeepInfra.** The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model (five in October, three more due by 3 November), and there is no changelog or SLA.\n\n**Inkling 2 Small.** 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.\n\n## Before you call either\n\n### DeepInfra\n\n1. Call `GET https://api.deepinfra.com/v1/openai/models` at start-up for ids, context sizes and prices. No key is needed\n2. Check the `model` field of each response. After a deprecation date, requests to the old id are served by a replacement model\n3. Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key\n4. Stay under 200 concurrent requests per model. On 429 `engine_overloaded`, retry after a delay, or send `models` with up to four fallbacks\n5. Never inspect a JWT with `GET /v1/scoped-jwt?jwtoken=`, which puts the token in the URL. Keep credentials in the `Authorization` header\n\n### Inkling 2 Small\n\n1. Call https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1 with an OpenAI client and TINKER_API_KEY, using /chat/completions\n2. 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\n3. 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\n4. Keep images between 40 and 4096 px a side, per the model card\n5. Validate JSON yourself, since structured output and the tool-call format aren't documented\n6. Plan for a move to open weights. When they publish, the open-weights listing will carry sizes and runtimes\n\n## Questions\n\n### Which is better for AI agents, DeepInfra or Inkling 2 Small?\n\nDeepInfra scores 63.7 (B) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 4 of 7 scored categories. Inkling 2 Small leads on maintenance \u0026 community.\n\n### Do DeepInfra and Inkling 2 Small need an API key?\n\nBoth need an API key.\n\n### Can an agent call DeepInfra and Inkling 2 Small without installing anything?\n\nYes. DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai and Inkling 2 Small at https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/deepinfra-vs-inkling-2-small.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepinfra-vs-inkling-2-small.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"deepinfra\", \"b\": \"inkling-2-small\"}`. From a terminal: `anchor compare deepinfra inkling-2-small`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepinfra.json and https://www.anchorterminal.com/api/v1/tools/inkling-2-small.json\n\n## Other comparisons with DeepInfra or Inkling 2 Small\n\n- [Claude API vs DeepInfra](https://www.anchorterminal.com/compare/anthropic-api-vs-deepinfra.md)\n- [Claude API vs Inkling 2 Small](https://www.anchorterminal.com/compare/anthropic-api-vs-inkling-2-small.md)\n- [Antseed vs DeepInfra](https://www.anchorterminal.com/compare/antseed-vs-deepinfra.md)\n- [Antseed vs Inkling 2 Small](https://www.anchorterminal.com/compare/antseed-vs-inkling-2-small.md)\n- [BlockRun.AI vs DeepInfra](https://www.anchorterminal.com/compare/blockrun-ai-vs-deepinfra.md)\n- [BlockRun.AI vs Inkling 2 Small](https://www.anchorterminal.com/compare/blockrun-ai-vs-inkling-2-small.md)\n- [Cerebras Inference vs DeepInfra](https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra.md)\n- 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Glimpse](https://www.anchorterminal.com/compare/deepinfra-vs-elorian-glimpse.md)\n- [DeepInfra vs Fireworks AI Inference](https://www.anchorterminal.com/compare/deepinfra-vs-fireworks-inference.md)\n- [DeepInfra vs Gemini Developer API](https://www.anchorterminal.com/compare/deepinfra-vs-gemini-api.md)\n- [DeepInfra vs GroqCloud](https://www.anchorterminal.com/compare/deepinfra-vs-groq.md)\n- [DeepInfra vs Jais 3](https://www.anchorterminal.com/compare/deepinfra-vs-jais-3.md)\n- [DeepInfra vs Meta Model API](https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api.md)\n- [DeepInfra vs MiniMax API](https://www.anchorterminal.com/compare/deepinfra-vs-minimax-api.md)\n- [DeepInfra vs Mistral AI API](https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api.md)\n- [DeepInfra vs Muse Spark Open](https://www.anchorterminal.com/compare/deepinfra-vs-muse-spark-open.md)\n- [DeepInfra vs Nemotron 3.5 Super 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"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": "DeepInfra vs Inkling 2 Small", "url": "" } ], "description": "DeepInfra scores 63.7 (B) to Inkling 2 Small's 52.1 (D) for llm inference. 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