{
  "data": {
    "a": {
      "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"
      }
    },
    "answer": "Novita AI scores 53.9 (D) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 3 of 7 scored categories. Inkling 2 Small leads on schema \u0026 documentation, maintenance \u0026 community and transparency \u0026 trust.",
    "b": {
      "slug": "novita-ai",
      "name": "Novita AI",
      "vendor": "Novita AI",
      "vendorUrl": "https://novita.ai",
      "kind": "model",
      "category": "inference",
      "summary": "Novita AI is a hosted inference API for open-weight language models, with embeddings, reranking, image, video and speech models on the same key. It answers OpenAI-style calls at api.novita.ai with a Bearer key.",
      "url": "https://www.anchorterminal.com/tools/novita-ai",
      "markdownUrl": "https://www.anchorterminal.com/tools/novita-ai.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/novita-ai.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/novita-ai.json",
      "dns": "novita-ai.grade.anchorterminal.com",
      "repo": "https://github.com/novitalabs/novita-skills",
      "license": "Proprietary service under the Novita AI Terms of Service. The agent skill and the MCP server are MIT",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.novita.ai/openai",
      "packages": [
        {
          "registry": "npm",
          "name": "novita-sdk"
        },
        {
          "registry": "pypi",
          "name": "novita-client"
        },
        {
          "registry": "npm",
          "name": "@novitalabs/novita-mcp-server"
        }
      ],
      "auth": "api-key",
      "authNotes": "Self-serve Bearer key from Key Management in the console after a browser sign-up. Keys start with `sk_`, are shown once, number up to 10 an account and take an expiry of 24 hours, 30 days, 90 days or none. A per-key model access policy and source IP allowlist can be set by API. `auth.md` also describes OAuth with PKCE after the user signs in and approves (https://docs.novita.ai/guides/llm-api-keys, https://novita.ai/auth.md).",
      "pricing": "usage",
      "pricingNotes": "Pay per token from prepaid credit. `deepseek/deepseek-v4.1-flash` costs $0.30 in and $1.20 out per 1M tokens, batch is 50 per cent off as an introductory price, and two models are listed as free. A voucher for new users is described without an amount, and whether a card is needed was not found (https://novita.ai/pricing, checked 2026-10-09).",
      "priceSummary": "from $0.05 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs index, the docs site map, the pricing page or the skill repository (checked 2026-10-09).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 6,
        "npmWeekly": 1363,
        "pypiWeekly": null,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://docs.novita.ai/guides/introduction",
      "rateLimitsUrl": "https://docs.novita.ai/guides/llm-rate-limits",
      "llmsTxt": "https://docs.novita.ai/llms.txt",
      "openapi": "https://novita.ai/.well-known/openapi.json",
      "capabilities": [
        "inference.llm",
        "inference.open-weights",
        "embed.text",
        "rerank",
        "image.generate",
        "video.generate",
        "speech.tts",
        "compute.batch"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "usage-based",
        "llms-txt",
        "openai-compatible",
        "batch",
        "prompt-caching",
        "changelog"
      ],
      "lastRelease": "2026-10-22",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 53.9,
        "grade": "D",
        "agentReady": false,
        "rank": 838,
        "ranked": true,
        "rankOf": 1354,
        "categoryRank": 22,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 72,
          "maintenance": 66,
          "payments": 35,
          "reliability": 28,
          "schema": 62,
          "security": 65,
          "transparency": 57
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-04"
        },
        "negative": 0,
        "verdict": "Per-token prices for about 140 language models are public, and each key can carry an expiry, a model allowlist and a source IP allowlist. No status page, SLA or security.txt was found, the per-model rate limit figures are drawn by script, and both vendor SDK repositories are archived while the docs still point to them.",
        "bestFor": "Agents that want many open-weight models at per-token prices behind one OpenAI-style key, with keys that can be limited by model, IP and expiry.",
        "strengths": [
          "API keys take an expiry of 24 hours, 30 days or 90 days, a per-key model access policy and a per-key source IP allowlist, the last two settable by API",
          "The pricing page lists input, output and cache-read prices per 1M tokens with context size for each language model, readable without a login",
          "The terms commit to zero data retention and say content is not used to train Novita's models by default, with stated exceptions",
          "A billing page states which HTTP statuses are charged. 400, 401, 403, 429, 500, 503 and 504 are not, and 200 and 499 are",
          "A dated changelog with nine entries between 1 September and 22 October 2026, each retirement naming a UTC time and a replacement"
        ],
        "weaknesses": [
          "No status page or SLA was found on the home page, the docs index or the docs site map. The home page states 99.5% uptime with no supporting document",
          "The rate limit page explains five tiers by monthly top-up, and the RPM and TPM figures per model are drawn by script and were not readable",
          "`xiaomimimo/mimo-v2.5` and `-pro` were retired at 00:00 UTC on 23 October 2026 on a notice dated 22 October",
          "The Python and JavaScript SDK repositories are archived, last changed in November 2024 and March 2025, and the SDK docs page still tells users to install them",
          "The terms name the contracting party only as Novita AI, with no corporate form or address, and no DPA or sub-processor list was found",
          "The terms bar automated or non-human access that extracts data from the site and its linked channels, docs included"
        ],
        "agentNotes": [
          "Set the OpenAI client base URL to `https://api.novita.ai/openai` and send the key as `Authorization: Bearer`. Keys start with `sk_`",
          "Do not close a connection to stop generation. A request that reached the model is billed in full under status 499, so cap output with `max_tokens`",
          "On 429, check whether the code is `RATE_LIMIT_EXCEEDED` or `TOKEN_LIMIT_EXCEEDED` and back off exponentially. No `Retry-After` header is documented",
          "Read the changelog for retirement notices before pinning a model id. One retirement in October 2026 came with 11 days' notice",
          "Ask the account owner for a key with an expiry, a model access policy and an IP allowlist. Keys are created and deleted only in the console"
        ],
        "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": 53.9
          }
        ],
        "editorialScores": {
          "ergonomics": 72,
          "maintenance": 66,
          "payments": 35,
          "reliability": 28,
          "schema": 62,
          "security": 65,
          "transparency": 42
        },
        "provenanceScore": 71,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-04",
            "maintenance": "2026-11-04",
            "payments": "2026-11-04",
            "reliability": "2026-11-04",
            "schema": "2026-11-04",
            "security": "2026-11-04",
            "transparency": "2026-11-04"
          },
          "last": "2026-11-04",
          "lastMoved": "2026-11-04",
          "oldest": "2026-11-04",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "pip install openai   # or: npm install openai",
        "http": "curl \"https://api.novita.ai/openai/v1/chat/completions\" \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Authorization: Bearer $NOVITA_API_KEY\" \\\n  -d '{\"model\":\"deepseek/deepseek-v4.1-flash\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/novita-ai"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Novita AI",
        "domain": "novita.ai",
        "domainRegistered": "2023-09-18",
        "endpointOnVendorDomain": true,
        "terms": "https://novita.ai/legal/terms-of-service",
        "privacy": "https://novita.ai/legal/privacy-policy",
        "statusPage": "",
        "changelog": "https://docs.novita.ai/changelog",
        "securityTxt": "none",
        "checked": "2026-10-09",
        "notes": [
          "The Terms of Service, updated 5 August 2026, name the party only as Novita AI, with no corporate form or address. They cover the site and the services sold through it, the inference APIs included, under Delaware law with arbitration.",
          "The Privacy Policy, effective 13 May 2026, covers the website and services and says it does not apply to content processed on behalf of customers, which it leaves to customer agreements.",
          "The Acceptable Use Policy, effective 5 August 2026, is part of the terms.",
          "No status page was found on the home page, the pricing page, the docs index or the docs site map.",
          "https://novita.ai/.well-known/security.txt returns 404.",
          "RDAP for novita.ai gives a registration date of 2023-09-18.",
          "The API answers at api.novita.ai and the docs at docs.novita.ai. `auth.md` names a token endpoint at api-server.novita.ai.",
          "No SLA, DPA or sub-processor list was found. The trust centre at trust.novita.ai is drawn by script and was not read."
        ],
        "score": 71
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/novita-ai.json",
      "live": {
        "slug": "novita-ai",
        "probe": {
          "target": "https://api.novita.ai/openai",
          "method": "get",
          "lastAt": "2026-11-06T09:47:40.01662963Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 187,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 197,
          "p95ms24h": 279,
          "samples24h": 221,
          "samples30d": 6879,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 85,
              "ok": 85
            },
            {
              "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": 249
            },
            {
              "date": "2026-11-02",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-11-03",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-11-04",
              "probes": 246,
              "ok": 246
            },
            {
              "date": "2026-11-05",
              "probes": 185,
              "ok": 185
            },
            {
              "date": "2026-11-06",
              "probes": 102,
              "ok": 102
            }
          ]
        },
        "versions": [
          {
            "registry": "npm",
            "name": "@novitalabs/novita-mcp-server",
            "version": "1.0.2",
            "seenAt": "2026-11-05T21:51:45.846507416Z"
          },
          {
            "registry": "npm",
            "name": "novita-sdk",
            "version": "3.1.3",
            "seenAt": "2026-11-05T21:51:44.731823496Z"
          },
          {
            "registry": "pypi",
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        "models": {
          "deepseek/deepseek-v4.1-flash": {
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            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
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              "text"
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            "promptCaching": true,
            "contextTokens": 1048576,
            "maxOutput": 943718,
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            "openrouterId": "openai/gpt-oss-120b",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
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            "contextTokens": 131072,
            "maxOutput": 65536,
            "checkedAt": "2026-11-05T23:49:24.366022811Z"
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            "openrouterId": "qwen/qwen3.8-flash",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "image",
              "text",
              "video"
            ],
            "promptCaching": true,
            "contextTokens": 1000000,
            "maxOutput": 131072,
            "checkedAt": "2026-11-05T23:49:24.366022811Z"
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          "stars": 6,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-09-24T05:32:53Z",
          "openIssues": 0,
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    },
    "edges": [
      {
        "by": 15,
        "category": "payments",
        "leads": "novita-ai",
        "name": "Payments \u0026 pricing",
        "reasons": {
          "a": "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.",
          "b": "No machine payment protocol was found in the docs index, the site map, the pricing page or the skill repository (0). Per-token prices for each model on the pricing page without a login, such as `deepseek/deepseek-v4.1-flash` at $0.30 in and $1.20 out per 1M tokens (20). Two language models are listed as free and the FAQ describes a voucher for new users. Whether a card is needed to use either was not stated in the pages read (15 of 20). A person signs up in a browser, keys are created only in the console, and the OAuth route needs the user to sign in and approve (0). Per the 9 October check, not re-read on 4 November, as the terms bar automated access to the site and docs."
        },
        "scores": {
          "a": 20,
          "b": 35
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      },
      {
        "by": 10,
        "category": "ergonomics",
        "leads": "novita-ai",
        "name": "Agent ergonomics",
        "reasons": {
          "a": "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.",
          "b": "Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). `tools` with a `strict` flag and a worked example. The list of models that support it is drawn by script, and `tool_choice` is absent from the chat reference (13 of 20). `response_format` takes `json_object` and `json_schema` with `strict` in the reference, while the FAQ says only `json_object` works (9 of 15). Prompt caching is automatic on supported models, cache-read prices are on the pricing page and `cached_tokens` is returned in usage (12 of 15). Context of 1M tokens on DeepSeek V4, GLM 5.3 and Kimi K3 per the pricing page. Output caps were not read (12 of 15). OpenAI-style files and batches with a 24-hour window, one model per file and an introductory 50 per cent discount (10). The OpenAI client works with a changed base URL. Both vendor SDK repositories are archived (5 of 10). Named error codes, a 429 that separates request and token limits, and a `trace_id` for support (11 of 15). Per the 9 October check, not re-read on 4 November, as the terms bar automated access to the site and docs."
        },
        "scores": {
          "a": 62,
          "b": 72
        }
      },
      {
        "by": 9,
        "category": "maintenance",
        "leads": "inkling-2-small",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "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.",
          "b": "Model reading. Changelog entries per the 27 October reading of each entry page, not re-read on 4 November because Novita's terms bar automated access to the site and its linked channels. The newest entry is dated 22 October 2026 (30). Retirement notices carry a UTC time and a replacement, with notice of 1 day (22 October for `xiaomimimo/mimo-v2.5` at 00:00 UTC on 23 October) to 29 days (1 September for multimodal models on 30 September). No written notice period was found (6 of 12). Nine dated entries in the 90 days from 6 August (1, 8, 18, 20, 23 and 28 September, 15, 19 and 22 October), each read on its own page (8 of 8). A dated changelog, a Discord server and a support address per the 9 October check (12 of 15). `novitalabs/python-sdk` and `novitalabs/javascript-sdk` are archived, unchanged since 8 November 2024 and 4 March 2025, and issue replies were not examined (2 of 10). The docs rely on the OpenAI client, the SDK page still named the two archived packages on 9 October, and the skill repository is unchanged since 24 September 2026 (5 of 15). The JavaScript SDK repository has a publish workflow only and the Python one has none (3 of 10). 30 + 6 + 8 + 12 + 2 + 5 + 3 = 66."
        },
        "scores": {
          "a": 75,
          "b": 66
        }
      },
      {
        "by": 8,
        "category": "schema",
        "leads": "inkling-2-small",
        "name": "Schema \u0026 documentation",
        "reasons": {
          "a": "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.",
          "b": "Model reading. The OpenAPI 3.1.0 document at `/.well-known/openapi.json` is a 964-byte discovery file with four paths and no schemas, and the API reference is written by hand (6 of 25). `llms.txt` on both hosts, a Markdown copy of every docs page and an `llms-full.txt` (10). Guides for function calling, structured output, prompt caching, batch and reasoning say what each is for, and the chat reference describes 136 request and response fields (14 of 20). Fields are typed with required flags and defaults. Enums and ranges are stated in prose only (10 of 15). Curl and Python examples on each guide, error tables by product, a common errors guide and a table of which statuses are billed. The FAQ says `json_schema` and `top_logprobs` are unsupported while the reference and a guide document both (10 of 15). A dated changelog with 84 entries since February 2024. The API has no version scheme beyond `/v1` (12 of 15). Per the 9 October check, not re-read on 4 November, as the terms bar automated access to the site and docs."
        },
        "scores": {
          "a": 70,
          "b": 62
        }
      },
      {
        "by": 8,
        "category": "security",
        "leads": "novita-ai",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "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.",
          "b": "Model reading. Bearer keys with the `sk_` prefix, shown once, up to 10 an account, with an expiry of 24 hours, 30 days, 90 days or none fixed at creation, deletable in the console, and a per-key model access policy and source IP allowlist that can be set by API. OAuth with PKCE and the scopes `api` and `balance:read` is described in `auth.md`, with no token revocation endpoint. No documented way to send a key in a URL was found (26 of 30). The terms, re-read on 4 November and still updated 5 August 2026, say content is not used to train Novita's models or improve the services by default (17 of 20). The terms state zero data retention, with exceptions for law and for what is necessary to run or support the service, and allow automated safety screening. Batch input files are kept for 15 days (11 of 15). Billing can be queried per key, and budget, monitoring and metrics pages are listed in the docs index and were not read (7 of 15). The trust centre at trust.novita.ai is drawn by script and was not read. `/.well-known/security.txt` returns 404, and no disclosure policy or bug bounty was found (4 of 20). The key, retention and trust-centre readings are per the 9 October check, not re-read on 4 November."
        },
        "scores": {
          "a": 57,
          "b": 65
        }
      },
      {
        "by": 7,
        "category": "transparency",
        "leads": "inkling-2-small",
        "name": "Transparency \u0026 trust",
        "reasons": {
          "a": "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.",
          "b": "Closed service. The terms set Delaware law and arbitration but name the party only as Novita AI, with no corporate form or address. The skill and the MCP server are MIT (10 of 30). The terms state zero data retention and no training by default, and the privacy policy lists retention periods (account data for the life of the account plus 7 years, technical data 2 years). The privacy policy says it does not cover content processed for customers and points to customer agreements. No DPA was found (16 of 30). Retirement notices in the changelog carry a UTC time and a replacement. The terms reserve the right to discontinue any service without notice (12 of 20). The privacy policy names categories of recipients only and transfers that include the United States. No sub-processor list was found (4 of 20). Per the 9 October check, not re-read on 4 November, as the terms bar automated access to the site and docs."
        },
        "scores": {
          "a": 64,
          "b": 57
        }
      }
    ],
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Thinking Machines Lab",
        "b": "Novita AI",
        "name": "Vendor"
      },
      {
        "a": "https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1",
        "b": "https://api.novita.ai/openai",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "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",
        "b": "Proprietary service under the Novita AI Terms of Service. The agent skill and the MCP server are MIT",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-11-05",
        "b": "2026-10-22",
        "name": "Last release"
      },
      {
        "a": "not read yet",
        "b": "2026-08-05",
        "name": "Terms last updated"
      },
      {
        "a": "not read yet",
        "b": "2026-05-13",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not read yet",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "not read yet",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not read yet",
        "b": "not found in the text",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not read yet",
        "b": "yes",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not read yet",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "6 stars, 1.4k npm/wk",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "Novita AI scores 53.9 (D) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 3 of 7 scored categories. Inkling 2 Small leads on schema \u0026 documentation, maintenance \u0026 community and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Inkling 2 Small or Novita AI?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Inkling 2 Small and Novita AI need an API key?"
      },
      {
        "answer": "Yes. Inkling 2 Small has a hosted endpoint at https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1 and Novita AI at https://api.novita.ai/openai.",
        "question": "Can an agent call Inkling 2 Small and Novita AI without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Schema \u0026 documentation, 70 against 62",
          "Maintenance \u0026 community, 75 against 66",
          "Transparency \u0026 trust, 64 against 57"
        ],
        "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"
      },
      {
        "aheadOn": [
          "Agent ergonomics, 72 against 62",
          "Security \u0026 auth, 65 against 57",
          "Payments \u0026 pricing, 35 against 20"
        ],
        "also": null,
        "goodFor": "Agents that want many open-weight models at per-token prices behind one OpenAI-style key, with keys that can be limited by model, IP and expiry.",
        "slug": "novita-ai",
        "watchFor": "No status page or SLA was found on the home page, the docs index or the docs site map. The home page states 99.5% uptime with no supporting document"
      }
    ],
    "history": {
      "inkling-2-small": null,
      "novita-ai": [
        {
          "causes": [
            "evidence"
          ],
          "date": "2026-11-04",
          "delta": 0.4,
          "from": 53.5,
          "fromGrade": "D",
          "to": 53.9,
          "toGrade": "D"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-27",
          "delta": 0,
          "from": 53.5,
          "fromGrade": "D",
          "to": 53.5,
          "toGrade": "D"
        }
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    },
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-inkling-2-small.json",
        "title": "Claude API vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-novita-ai.json",
        "title": "Claude API vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-inkling-2-small.json",
        "title": "Antseed vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-novita-ai.json",
        "title": "Antseed vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-inkling-2-small.json",
        "title": "BlockRun.AI vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-novita-ai.json",
        "title": "BlockRun.AI vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-inkling-2-small.json",
        "title": "Cerebras Inference vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-novita-ai.json",
        "title": "Cerebras Inference vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-inkling-2-small.json",
        "title": "Cloudflare AI Gateway vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-novita-ai.json",
        "title": "Cloudflare AI Gateway vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-inkling-2-small.json",
        "title": "Cloudflare Workers AI vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-novita-ai.json",
        "title": "Cloudflare Workers AI vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-inkling-2-small.json",
        "title": "Cohere Chat API (Command models) vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-novita-ai.json",
        "title": "Cohere Chat API (Command models) vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-inkling-2-small.json",
        "title": "DeepInfra vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-inkling-2-small"
      },
      {
        "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/deepseek-api-vs-inkling-2-small.json",
        "title": "DeepSeek API vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-novita-ai.json",
        "title": "DeepSeek API vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-inkling-2-small.json",
        "title": "Glimpse vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-novita-ai.json",
        "title": "Glimpse vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-inkling-2-small.json",
        "title": "Fireworks AI Inference vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-novita-ai.json",
        "title": "Fireworks AI Inference vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-inkling-2-small.json",
        "title": "Gemini Developer API vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-novita-ai.json",
        "title": "Gemini Developer API vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-inkling-2-small.json",
        "title": "GroqCloud vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/groq-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-novita-ai.json",
        "title": "GroqCloud vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/groq-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-jais-3.json",
        "title": "Inkling 2 Small vs Jais 3",
        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-jais-3"
      },
      {
        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-meta-model-api.json",
        "title": "Inkling 2 Small vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-meta-model-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-minimax-api.json",
        "title": "Inkling 2 Small vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-mistral-api.json",
        "title": "Inkling 2 Small vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-muse-spark-open.json",
        "title": "Inkling 2 Small vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-5-super-vl.json",
        "title": "Inkling 2 Small vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jais-3-vs-novita-ai.json",
        "title": "Jais 3 vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/jais-3-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-novita-ai.json",
        "title": "Meta Model API vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-novita-ai.json",
        "title": "MiniMax API vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-novita-ai.json",
        "title": "Mistral AI API vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-novita-ai.json",
        "title": "Muse Spark Open vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-openai-api.json",
        "title": "Novita AI vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-openrouter.json",
        "title": "Novita AI vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference.json",
        "title": "Novita AI vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-ramp-router.json",
        "title": "Novita AI vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-reflection-beam.json",
        "title": "Novita AI vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-routerplus.json",
        "title": "Novita AI vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-routerplus"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-sambanova.json",
        "title": "Novita AI vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-siliconflow.json",
        "title": "Novita AI vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-simplismart.json",
        "title": "Novita AI vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-stepfun-api.json",
        "title": "Novita AI vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-swe-2-flash.json",
        "title": "Novita AI vs SWE-2 Flash",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-swe-2-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-tencent-tokenhub.json",
        "title": "Novita AI vs Tencent Cloud TokenHub",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-tencent-tokenhub"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-together-inference.json",
        "title": "Novita AI vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-vercel-ai-gateway.json",
        "title": "Novita AI vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-novita-ai.json",
        "title": "Nemotron 3.5 Super VL vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-novita-ai"
      }
    ],
    "panel": null,
    "scores": [
      {
        "by": 2,
        "edge": "inkling-2-small",
        "inkling-2-small": 30,
        "key": "reliability",
        "name": "Reliability",
        "novita-ai": 28,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 8,
        "edge": "inkling-2-small",
        "inkling-2-small": 70,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "novita-ai": 62,
        "weight": 13
      },
      {
        "by": 10,
        "edge": "novita-ai",
        "inkling-2-small": 62,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "novita-ai": 72,
        "weight": 13
      },
      {
        "by": 8,
        "edge": "novita-ai",
        "inkling-2-small": 57,
        "key": "security",
        "name": "Security \u0026 auth",
        "novita-ai": 65,
        "weight": 14
      },
      {
        "by": 15,
        "edge": "novita-ai",
        "inkling-2-small": 20,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "novita-ai": 35,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 9,
        "edge": "inkling-2-small",
        "inkling-2-small": 75,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "novita-ai": 66,
        "weight": 7
      },
      {
        "by": 7,
        "edge": "inkling-2-small",
        "inkling-2-small": 64,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "novita-ai": 57,
        "weight": 7
      }
    ],
    "summary": "Novita AI scores 53.9 (D) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 3 of 7 scored categories. Inkling 2 Small leads on schema \u0026 documentation, maintenance \u0026 community and transparency \u0026 trust. Both do llm inference.",
    "tasks": null,
    "tutorials": [],
    "verdicts": {
      "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.",
      "novita-ai": "Per-token prices for about 140 language models are public, and each key can carry an expiry, a model allowlist and a source IP allowlist. No status page, SLA or security.txt was found, the per-model rate limit figures are drawn by script, and both vendor SDK repositories are archived while the docs still point to them."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/inkling-2-small-vs-novita-ai",
    "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-novita-ai.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/inkling-2-small-vs-novita-ai.md",
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  "markdown": "Novita AI scores 53.9 (D) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 3 of 7 scored categories. Inkling 2 Small leads on schema \u0026 documentation, maintenance \u0026 community and transparency \u0026 trust. Both do llm inference.\n\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- Novita AI: grade D, 53.9/100, rank #838 of 1354. Markdown https://www.anchorterminal.com/tools/novita-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/novita-ai.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### 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- Schema \u0026 documentation, 70 against 62\n- Maintenance \u0026 community, 75 against 66\n- Transparency \u0026 trust, 64 against 57\n\nWatch for: Serverless inference and the OpenAI-compatible API are both labelled beta, with a waitlist for higher throughput\n\n### Novita AI (D)\n\nGood for: Agents that want many open-weight models at per-token prices behind one OpenAI-style key, with keys that can be limited by model, IP and expiry.\n\nAhead on:\n- Agent ergonomics, 72 against 62\n- Security \u0026 auth, 65 against 57\n- Payments \u0026 pricing, 35 against 20\n\nWatch for: No status page or SLA was found on the home page, the docs index or the docs site map. The home page states 99.5% uptime with no supporting document\n\n\n## Why the edge\n\n### Payments \u0026 pricing: Novita AI +15\n\n- Inkling 2 Small (20): 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.\n- Novita AI (35): No machine payment protocol was found in the docs index, the site map, the pricing page or the skill repository (0). Per-token prices for each model on the pricing page without a login, such as `deepseek/deepseek-v4.1-flash` at $0.30 in and $1.20 out per 1M tokens (20). Two language models are listed as free and the FAQ describes a voucher for new users. Whether a card is needed to use either was not stated in the pages read (15 of 20). A person signs up in a browser, keys are created only in the console, and the OAuth route needs the user to sign in and approve (0). Per the 9 October check, not re-read on 4 November, as the terms bar automated access to the site and docs.\n\n### Agent ergonomics: Novita AI +10\n\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- Novita AI (72): Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). `tools` with a `strict` flag and a worked example. The list of models that support it is drawn by script, and `tool_choice` is absent from the chat reference (13 of 20). `response_format` takes `json_object` and `json_schema` with `strict` in the reference, while the FAQ says only `json_object` works (9 of 15). Prompt caching is automatic on supported models, cache-read prices are on the pricing page and `cached_tokens` is returned in usage (12 of 15). Context of 1M tokens on DeepSeek V4, GLM 5.3 and Kimi K3 per the pricing page. Output caps were not read (12 of 15). OpenAI-style files and batches with a 24-hour window, one model per file and an introductory 50 per cent discount (10). The OpenAI client works with a changed base URL. Both vendor SDK repositories are archived (5 of 10). Named error codes, a 429 that separates request and token limits, and a `trace_id` for support (11 of 15). Per the 9 October check, not re-read on 4 November, as the terms bar automated access to the site and docs.\n\n### Maintenance \u0026 community: Inkling 2 Small +9\n\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- Novita AI (66): Model reading. Changelog entries per the 27 October reading of each entry page, not re-read on 4 November because Novita's terms bar automated access to the site and its linked channels. The newest entry is dated 22 October 2026 (30). Retirement notices carry a UTC time and a replacement, with notice of 1 day (22 October for `xiaomimimo/mimo-v2.5` at 00:00 UTC on 23 October) to 29 days (1 September for multimodal models on 30 September). No written notice period was found (6 of 12). Nine dated entries in the 90 days from 6 August (1, 8, 18, 20, 23 and 28 September, 15, 19 and 22 October), each read on its own page (8 of 8). A dated changelog, a Discord server and a support address per the 9 October check (12 of 15). `novitalabs/python-sdk` and `novitalabs/javascript-sdk` are archived, unchanged since 8 November 2024 and 4 March 2025, and issue replies were not examined (2 of 10). The docs rely on the OpenAI client, the SDK page still named the two archived packages on 9 October, and the skill repository is unchanged since 24 September 2026 (5 of 15). The JavaScript SDK repository has a publish workflow only and the Python one has none (3 of 10). 30 + 6 + 8 + 12 + 2 + 5 + 3 = 66.\n\n### Schema \u0026 documentation: Inkling 2 Small +8\n\n- Inkling 2 Small (70): 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.\n- Novita AI (62): Model reading. The OpenAPI 3.1.0 document at `/.well-known/openapi.json` is a 964-byte discovery file with four paths and no schemas, and the API reference is written by hand (6 of 25). `llms.txt` on both hosts, a Markdown copy of every docs page and an `llms-full.txt` (10). Guides for function calling, structured output, prompt caching, batch and reasoning say what each is for, and the chat reference describes 136 request and response fields (14 of 20). Fields are typed with required flags and defaults. Enums and ranges are stated in prose only (10 of 15). Curl and Python examples on each guide, error tables by product, a common errors guide and a table of which statuses are billed. The FAQ says `json_schema` and `top_logprobs` are unsupported while the reference and a guide document both (10 of 15). A dated changelog with 84 entries since February 2024. The API has no version scheme beyond `/v1` (12 of 15). Per the 9 October check, not re-read on 4 November, as the terms bar automated access to the site and docs.\n\n### Security \u0026 auth: Novita AI +8\n\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- Novita AI (65): Model reading. Bearer keys with the `sk_` prefix, shown once, up to 10 an account, with an expiry of 24 hours, 30 days, 90 days or none fixed at creation, deletable in the console, and a per-key model access policy and source IP allowlist that can be set by API. OAuth with PKCE and the scopes `api` and `balance:read` is described in `auth.md`, with no token revocation endpoint. No documented way to send a key in a URL was found (26 of 30). The terms, re-read on 4 November and still updated 5 August 2026, say content is not used to train Novita's models or improve the services by default (17 of 20). The terms state zero data retention, with exceptions for law and for what is necessary to run or support the service, and allow automated safety screening. Batch input files are kept for 15 days (11 of 15). Billing can be queried per key, and budget, monitoring and metrics pages are listed in the docs index and were not read (7 of 15). The trust centre at trust.novita.ai is drawn by script and was not read. `/.well-known/security.txt` returns 404, and no disclosure policy or bug bounty was found (4 of 20). The key, retention and trust-centre readings are per the 9 October check, not re-read on 4 November.\n\n### Transparency \u0026 trust: Inkling 2 Small +7\n\n- Inkling 2 Small (64): 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.\n- Novita AI (57): Closed service. The terms set Delaware law and arbitration but name the party only as Novita AI, with no corporate form or address. The skill and the MCP server are MIT (10 of 30). The terms state zero data retention and no training by default, and the privacy policy lists retention periods (account data for the life of the account plus 7 years, technical data 2 years). The privacy policy says it does not cover content processed for customers and points to customer agreements. No DPA was found (16 of 30). Retirement notices in the changelog carry a UTC time and a replacement. The terms reserve the right to discontinue any service without notice (12 of 20). The privacy policy names categories of recipients only and transfers that include the United States. No sub-processor list was found (4 of 20). Per the 9 October check, not re-read on 4 November, as the terms bar automated access to the site and docs.\n\n## Score by category\n\n| Category | Weight | Inkling 2 Small | Novita AI | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 30 | 28 | Inkling 2 Small +2 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 70 | 62 | Inkling 2 Small +8 |\n| Agent ergonomics | 13% (16.2 this run) | 62 | 72 | Novita AI +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 57 | 65 | Novita AI +8 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 35 | Novita AI +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 75 | 66 | Inkling 2 Small +9 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 64 | 57 | Inkling 2 Small +7 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **52.1 · D** | **53.9 · D** | |\n\n## Facts side by side\n\n| Fact | Inkling 2 Small | Novita AI |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Thinking Machines Lab | Novita AI |\n| Hosted endpoint | `https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1` | `https://api.novita.ai/openai` |\n| Transports |  | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | 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 | Proprietary service under the Novita AI Terms of Service. The agent skill and the MCP server are MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-11-05 | 2026-10-22 |\n| Terms last updated | not read yet | 2026-08-05 |\n| Privacy policy last updated | not read yet | 2026-05-13 |\n| Customer content may train models | not read yet | not found in the text |\n| Terms restrict automated access | not read yet | not found in the text |\n| Terms restrict benchmarking | not read yet | not found in the text |\n| Terms or service can change without notice | not read yet | yes |\n| Arbitration or class-action waiver | not read yet | yes |\n| Popularity | none | 6 stars, 1.4k npm/wk |\n\n## How the scores have moved\n\n### Inkling 2 Small\n\nNo score change since it was listed.\n\n### Novita AI\n\n- +0.4 on 4 November 2026: new evidence\n- no change on 27 October 2026: checklist\n\n## Verdicts\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**Novita AI.** Per-token prices for about 140 language models are public, and each key can carry an expiry, a model allowlist and a source IP allowlist. No status page, SLA or security.txt was found, the per-model rate limit figures are drawn by script, and both vendor SDK repositories are archived while the docs still point to them.\n\n## Before you call either\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### Novita AI\n\n1. Set the OpenAI client base URL to `https://api.novita.ai/openai` and send the key as `Authorization: Bearer`. Keys start with `sk_`\n2. Do not close a connection to stop generation. A request that reached the model is billed in full under status 499, so cap output with `max_tokens`\n3. On 429, check whether the code is `RATE_LIMIT_EXCEEDED` or `TOKEN_LIMIT_EXCEEDED` and back off exponentially. No `Retry-After` header is documented\n4. Read the changelog for retirement notices before pinning a model id. One retirement in October 2026 came with 11 days' notice\n5. Ask the account owner for a key with an expiry, a model access policy and an IP allowlist. Keys are created and deleted only in the console\n\n## Questions\n\n### Which is better for AI agents, Inkling 2 Small or Novita AI?\n\nNovita AI scores 53.9 (D) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 3 of 7 scored categories. Inkling 2 Small leads on schema \u0026 documentation, maintenance \u0026 community and transparency \u0026 trust.\n\n### Do Inkling 2 Small and Novita AI need an API key?\n\nBoth need an API key.\n\n### Can an agent call Inkling 2 Small and Novita AI without installing anything?\n\nYes. Inkling 2 Small has a hosted endpoint at https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1 and Novita AI at https://api.novita.ai/openai.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/inkling-2-small-vs-novita-ai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/inkling-2-small-vs-novita-ai.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"inkling-2-small\", \"b\": \"novita-ai\"}`. From a terminal: `anchor compare inkling-2-small novita-ai`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/inkling-2-small.json and https://www.anchorterminal.com/api/v1/tools/novita-ai.json\n\n## Other comparisons with Inkling 2 Small or Novita AI\n\n- [Claude API vs Inkling 2 Small](https://www.anchorterminal.com/compare/anthropic-api-vs-inkling-2-small.md)\n- [Claude API vs Novita AI](https://www.anchorterminal.com/compare/anthropic-api-vs-novita-ai.md)\n- [Antseed vs Inkling 2 Small](https://www.anchorterminal.com/compare/antseed-vs-inkling-2-small.md)\n- [Antseed vs Novita AI](https://www.anchorterminal.com/compare/antseed-vs-novita-ai.md)\n- [BlockRun.AI vs Inkling 2 Small](https://www.anchorterminal.com/compare/blockrun-ai-vs-inkling-2-small.md)\n- [BlockRun.AI vs Novita AI](https://www.anchorterminal.com/compare/blockrun-ai-vs-novita-ai.md)\n- [Cerebras Inference vs Inkling 2 Small](https://www.anchorterminal.com/compare/cerebras-inference-vs-inkling-2-small.md)\n- [Cerebras Inference vs Novita AI](https://www.anchorterminal.com/compare/cerebras-inference-vs-novita-ai.md)\n- [Cloudflare AI Gateway vs Inkling 2 Small](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-inkling-2-small.md)\n- [Cloudflare AI Gateway vs Novita AI](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-novita-ai.md)\n- [Cloudflare Workers AI vs Inkling 2 Small](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-inkling-2-small.md)\n- [Cloudflare Workers AI vs Novita AI](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-novita-ai.md)\n- [Cohere Chat API (Command models) vs Inkling 2 Small](https://www.anchorterminal.com/compare/cohere-chat-vs-inkling-2-small.md)\n- [Cohere Chat API (Command models) vs Novita AI](https://www.anchorterminal.com/compare/cohere-chat-vs-novita-ai.md)\n- [DeepInfra vs Inkling 2 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AI](https://www.anchorterminal.com/compare/gemini-api-vs-novita-ai.md)\n- [GroqCloud vs Inkling 2 Small](https://www.anchorterminal.com/compare/groq-vs-inkling-2-small.md)\n- [GroqCloud vs Novita AI](https://www.anchorterminal.com/compare/groq-vs-novita-ai.md)\n- [Inkling 2 Small vs Jais 3](https://www.anchorterminal.com/compare/inkling-2-small-vs-jais-3.md)\n- [Inkling 2 Small vs Meta Model API](https://www.anchorterminal.com/compare/inkling-2-small-vs-meta-model-api.md)\n- [Inkling 2 Small vs MiniMax API](https://www.anchorterminal.com/compare/inkling-2-small-vs-minimax-api.md)\n- [Inkling 2 Small vs Mistral AI API](https://www.anchorterminal.com/compare/inkling-2-small-vs-mistral-api.md)\n- [Inkling 2 Small vs Muse Spark Open](https://www.anchorterminal.com/compare/inkling-2-small-vs-muse-spark-open.md)\n- [Inkling 2 Small vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-5-super-vl.md)\n- [Inkling 2 Small vs OpenAI 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AI](https://www.anchorterminal.com/compare/muse-spark-open-vs-novita-ai.md)\n- [Novita AI vs OpenAI API](https://www.anchorterminal.com/compare/novita-ai-vs-openai-api.md)\n- [Novita AI vs OpenRouter](https://www.anchorterminal.com/compare/novita-ai-vs-openrouter.md)\n- [Novita AI vs Prism Inference](https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference.md)\n- [Novita AI vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/novita-ai-vs-ramp-router.md)\n- [Novita AI vs Beam 1.0](https://www.anchorterminal.com/compare/novita-ai-vs-reflection-beam.md)\n- [Novita AI vs RouterPlus](https://www.anchorterminal.com/compare/novita-ai-vs-routerplus.md)\n- [Novita AI vs SambaCloud](https://www.anchorterminal.com/compare/novita-ai-vs-sambanova.md)\n- [Novita AI vs SiliconFlow](https://www.anchorterminal.com/compare/novita-ai-vs-siliconflow.md)\n- [Novita AI vs Simplismart](https://www.anchorterminal.com/compare/novita-ai-vs-simplismart.md)\n- [Novita AI vs StepFun API](https://www.anchorterminal.com/compare/novita-ai-vs-stepfun-api.md)\n- [Novita AI vs SWE-2 Flash](https://www.anchorterminal.com/compare/novita-ai-vs-swe-2-flash.md)\n- [Novita AI vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/novita-ai-vs-tencent-tokenhub.md)\n- [Novita AI vs Together AI Inference](https://www.anchorterminal.com/compare/novita-ai-vs-together-inference.md)\n- [Novita AI vs Vercel AI Gateway](https://www.anchorterminal.com/compare/novita-ai-vs-vercel-ai-gateway.md)\n- [Nemotron 3.5 Super VL vs Novita AI](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-novita-ai.md)\n",
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