{
  "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": "Inkling 2 Small scores 52.1 (D) on agent readiness against SiliconFlow's 42.9 (E), and leads in 5 of 7 scored categories. SiliconFlow leads on payments \u0026 pricing.",
    "b": {
      "slug": "siliconflow",
      "name": "SiliconFlow",
      "vendor": "SiliconFlow Labs Pte. Ltd.",
      "vendorUrl": "https://www.siliconflow.com",
      "kind": "model",
      "category": "inference",
      "summary": "SiliconFlow is a hosted inference API for open-weight models, covering chat, vision, embeddings, reranking, image, video and speech. It answers OpenAI-style and Anthropic-style calls at api.siliconflow.com with a Bearer key.",
      "url": "https://www.anchorterminal.com/tools/siliconflow",
      "markdownUrl": "https://www.anchorterminal.com/tools/siliconflow.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/siliconflow.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/siliconflow.json",
      "dns": "siliconflow.grade.anchorterminal.com",
      "license": "Proprietary service under the SiliconFlow Terms of Use",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.siliconflow.com/v1",
      "packages": [],
      "auth": "api-key",
      "authNotes": "Self-serve Bearer key from the console at https://cloud.siliconflow.com/account/ak after a browser sign-up with a Google or GitHub account. The Anthropic-style `/messages` route also takes the key in `x-api-key`. No scopes, expiry or per-key limits are documented, and rate limits apply to the account, not the key. The error page says some models answer 403 until real-name authentication is done.",
      "pricing": "usage",
      "pricingNotes": "Pay per token, image, video or byte of speech text, with $1 in free credits for a new account. Whether a card is needed to claim the credit was not established. DeepSeek-V4.1-Flash costs $0.15 in, $0.003 cached and $0.60 out per 1M tokens. The FAQ says monthly spending limits can be set in the dashboard (https://www.siliconflow.com/pricing, checked 2026-10-09).",
      "priceSummary": "from $0.15 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs index, the OpenAPI file or the pricing page (checked 2026-10-09).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://docs.siliconflow.com/en/userguide/quickstart",
      "rateLimitsUrl": "https://docs.siliconflow.com/cn/userguide/rate-limits/rate-limit-and-upgradation",
      "llmsTxt": "https://docs.siliconflow.com/llms.txt",
      "openapi": "https://docs.siliconflow.com/cn/api-reference/openapi.yaml",
      "capabilities": [
        "inference.llm",
        "inference.open-weights",
        "embed.text",
        "rerank",
        "image.generate",
        "video.generate",
        "speech.tts",
        "speech.stt"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "usage-based",
        "free-credit",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "anthropic-compatible",
        "singapore"
      ],
      "lastRelease": "2026-09-14",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 42.9,
        "grade": "E",
        "agentReady": false,
        "rank": 1133,
        "ranked": true,
        "rankOf": 1354,
        "categoryRank": 32,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 60,
          "maintenance": 37,
          "payments": 35,
          "reliability": 33,
          "schema": 65,
          "security": 39,
          "transparency": 52
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-05"
        },
        "negative": -3,
        "negativeNotes": [
          "2025-12-31 to 2026-06-11. SiliconFlow's release notes carry six model removal entries dated the day the models were removed, with no earlier entry announcing them, and on 11 June 2026 all traffic for `zai-org/GLM-5` and `moonshotai/Kimi-K2.5` was routed to successor models in an entry of the same date. Requests naming those models stopped working or changed model with notice only on the day. Read at the floor and folded into one term, as together-inference's and fireworks-inference's same-day serverless removals were, -3 (https://docs.siliconflow.com/en/release-notes/overview, per the 9 October reading)."
        ],
        "verdict": "Per-token prices for every listed model are public, and one key reaches chat, embeddings, reranking, image, video and speech through OpenAI-style and Anthropic-style routes. No status page, SLA, security page or official SDK was found, release notes stop at 11 June 2026, and several model removals are dated the same day as their notice.",
        "bestFor": "Agents that want recent open-weight chat models, plus image, video and speech, behind one OpenAI-style key at low per-token prices, and can live without a status page or SLA.",
        "strengths": [
          "Per-token, per-image and per-video prices are public for every listed model, such as DeepSeek-V4.1-Flash at $0.15 in and $0.60 out per 1M tokens",
          "One Bearer key reaches 22 operations in a public OpenAPI 3.0 file, with OpenAI-style `/chat/completions` and Anthropic-style `/messages`",
          "`llms.txt` and a Markdown copy of every docs page, in English and Chinese",
          "Rate limits are published by spend tier, from 1,000 requests and 40,000 tokens a minute at L0 to 10,000 and 2,000,000 at L5",
          "The terms say SiliconFlow will not access Interaction Data, has no obligation to store it, and uses it only to supply the service"
        ],
        "weaknesses": [
          "No status page, incident history or SLA was found, and the terms disclaim any uptime or availability commitment",
          "Release notes stop at 11 June 2026. Six notices from December 2025 to June 2026 give a removal date equal to the notice date",
          "The Terms of Use of 9 September 2026 forbid use for any commercial purposes, scraping tools and benchmarking. This matters before any probe is run",
          "The OpenAPI model list and the function calling guide name models already removed, and omit every model added since July 2026",
          "No security.txt, disclosure policy, certification, DPA or sub-processor list was found, and no official SDK is published"
        ],
        "agentNotes": [
          "Set the OpenAI client's base URL to `https://api.siliconflow.com/v1`, or the Anthropic client's to `https://api.siliconflow.com/`, and send the key as a Bearer token",
          "Take model ids from the model pages or `GET /v1/models`, not from the OpenAPI enum or the function calling guide, which list removed models",
          "Check the `model` field of each response. On 11 June 2026 traffic for GLM-5 and Kimi-K2.5 was routed to successor models",
          "Use `response_format` of `json_object` only where the model page says JSON Mode is supported, and keep `max_tokens` about 10,000 below the context length",
          "Set the Claude Code environment variables by hand. The automated route pipes a script from an Amazon S3 bucket into bash"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "E",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 42.9
          }
        ],
        "editorialScores": {
          "ergonomics": 60,
          "maintenance": 37,
          "payments": 35,
          "reliability": 33,
          "schema": 65,
          "security": 39,
          "transparency": 34
        },
        "provenanceScore": 70,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-05",
            "maintenance": "2026-11-05",
            "payments": "2026-11-05",
            "reliability": "2026-11-05",
            "schema": "2026-11-05",
            "security": "2026-11-05",
            "transparency": "2026-11-05"
          },
          "last": "2026-11-05",
          "lastMoved": "2026-11-05",
          "oldest": "2026-11-05",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "pip install --upgrade openai",
        "http": "curl --request POST \\\n  --url https://api.siliconflow.com/v1/chat/completions \\\n  --header 'authorization: Bearer $SILICONFLOW_API_KEY' \\\n  --header 'content-type: application/json' \\\n  --data '{\"model\":\"deepseek-ai/DeepSeek-V4.1-Flash\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}],\"max_tokens\":128}'",
        "claudeCode": "export ANTHROPIC_BASE_URL=\"https://api.siliconflow.com/\"\nexport ANTHROPIC_MODEL=\"your-preferred-model\"\nexport ANTHROPIC_API_KEY=\"sk-your-api-key-here\""
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/siliconflow"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Z-Image-Turbo, one image",
          "unit": "image",
          "usd": 0.005
        },
        {
          "item": "FLUX.1-dev, one image",
          "unit": "image",
          "usd": 0.014
        },
        {
          "item": "FLUX 1.1 [pro], one image",
          "unit": "image",
          "usd": 0.04
        },
        {
          "item": "Wan2.2-T2V-A14B, one video",
          "unit": "call",
          "usd": 0.29,
          "note": "Priced per video generated"
        }
      ],
      "provenance": {
        "legalEntity": "SiliconFlow Labs Pte. Ltd.",
        "domain": "siliconflow.com",
        "domainRegistered": "2019-02-14",
        "endpointOnVendorDomain": true,
        "terms": "https://docs.siliconflow.com/en/legals/terms-of-service",
        "privacy": "https://docs.siliconflow.com/en/legals/privacy-policy",
        "statusPage": "",
        "changelog": "https://docs.siliconflow.com/en/release-notes/overview",
        "securityTxt": "none",
        "checked": "2026-11-05",
        "notes": [
          "The Terms of Use, updated 9 September 2026, name SILICONFLOW LABS PTE. LTD., apply Singapore law and set SIAC arbitration in Singapore. They govern the platform in its web, API and mobile versions, and no separate API agreement was found.",
          "The Privacy Policy, updated 9 September 2026, names the same entity and cites Singapore's Personal Data Protection Act 2012. It keeps square brackets around several values, such as [Stripe] and [Google and GitHub].",
          "No status page is linked from the site, the docs index or the pages read.",
          "https://www.siliconflow.com/.well-known/security.txt answered 404.",
          "The API answers at api.siliconflow.com, the docs at docs.siliconflow.com and the console at cloud.siliconflow.com. The terms point users in mainland China to siliconflow.cn.",
          "No SLA, DPA or sub-processor list was found.",
          "The Terms of Use (updated 9 September 2026) clause 3.4(i) bar any manual or automated software, including spiders, robots, scrapers and crawlers, to scrape, collect or download information from the Platform or Services, which they define to include the web, API and mobile versions (read 5 November 2026).",
          "The domain registration date was recorded from an RDAP lookup on 9 October 2026, a source this check doesn't use. It wasn't re-read."
        ],
        "score": 70
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/siliconflow.json",
      "live": {
        "slug": "siliconflow",
        "probe": {
          "target": "https://api.siliconflow.com/v1",
          "method": "get",
          "lastAt": "2026-11-06T09:47:49.980489899Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 262,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 99.99,
          "p50ms24h": 270,
          "p95ms24h": 383,
          "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": 252
            },
            {
              "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": 250,
              "ok": 250
            },
            {
              "date": "2026-10-29",
              "probes": 249,
              "ok": 249
            },
            {
              "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
            }
          ]
        },
        "securityTxt": {
          "url": "https://siliconflow.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-05T15:56:00.871788236Z"
        },
        "llmsTxt": {
          "url": "https://docs.siliconflow.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-05T15:27:17.556828216Z"
        },
        "domain": {
          "domain": "siliconflow.com",
          "registered": "2019-02-14",
          "source": "https://rdap.verisign.com/com/v1/domain/siliconflow.com",
          "checkedAt": "2026-11-01T14:18:54.160809284Z"
        },
        "pages": [
          {
            "url": "https://docs.siliconflow.com/en/release-notes/overview",
            "kind": "deprecations",
            "status": 304,
            "checkedAt": "2026-11-05T12:53:53.657400217Z",
            "changedAt": "2026-10-26T03:15:35.683654862Z",
            "fingerprint": "174b36f1f0c8"
          },
          {
            "url": "https://www.siliconflow.com/pricing",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-11-05T13:18:03.960728239Z",
            "changedAt": "2026-10-22T01:36:57.039692841Z",
            "fingerprint": "e1314294f4a8"
          },
          {
            "url": "https://docs.siliconflow.com/en/legals/privacy-policy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-11-05T12:53:49.578125771Z",
            "changedAt": "2026-10-26T03:15:31.436126122Z",
            "fingerprint": "6533065904d9"
          },
          {
            "url": "https://docs.siliconflow.com/en/legals/terms-of-service",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-11-05T12:53:51.657413583Z",
            "changedAt": "2026-10-26T03:15:33.589043532Z",
            "fingerprint": "9b70022b01e3"
          }
        ],
        "updatedAt": "2026-11-06T09:47:49.980489899Z"
      }
    },
    "edges": [
      {
        "by": 38,
        "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": "SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Model reading, per the 9 October check, not re-read on 5 November. Hy4-preview is listed as released on 14 September 2026, 52 days before this check, and no later model or API change was recorded; blog post dates record no API change (20). No notice period is stated. Six removal notices from 31 December 2025 to 11 June 2026 are dated the day of removal, and two in March 2026 gave six and seven days (2 of 12). The release notes record about 60 model ids removed in ten notices over the last twelve months (2 of 8). The release notes stop at 11 June 2026 while nine chat models were added afterwards. Support is by email and Discord (6 of 15). Replies in the support channels were not examined (2 of 10). No official SDK. The `langchain-siliconflow` repository in the vendor's GitHub organisation was last changed on 12 December 2025 (version 0.2.3), confirmed from a clone on 5 November (3 of 15). The API description and two guides are out of date (2 of 10). 20+2+2+6+2+3+2 = 37."
        },
        "scores": {
          "a": 75,
          "b": 37
        }
      },
      {
        "by": 18,
        "category": "security",
        "leads": "inkling-2-small",
        "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": "SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Model reading. Bearer keys created in the console. No scopes, expiry, per-key limits or rotation are documented, and deletion of a key was not confirmed because the console was not read (15 of 30). The terms say Interaction Data is used only to supply the service and is not used or disclosed without authorisation. No statement on model training was found (12 of 20). The terms say there is no obligation to store Interaction Data. No retention period or zero-retention option is stated, and clause 5.11 allows communications to be recorded and passed to the authorities (6 of 15). The release note of 26 March 2026 describes usage and cost breakdowns and invoice export, and the pricing FAQ says monthly spending limits can be set. No audit log was found (6 of 15). No security.txt (404), disclosure policy, bug bounty or named certification was found on the pages read. The product introduction says the service complies with industry standards and names none (0 of 20). 15+12+6+6+0 = 39."
        },
        "scores": {
          "a": 57,
          "b": 39
        }
      },
      {
        "by": 15,
        "category": "payments",
        "leads": "siliconflow",
        "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": "SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. No machine payment protocol (0). Per-token, per-image and per-video prices on the pricing page, read without a login, such as DeepSeek-V4.1-Flash at $0.15 in and $0.60 out per 1M tokens (20). $1 in free credits for a new account. Whether a card is needed was not established, so this line takes 15 of 20. A person signs up in a browser with a Google or GitHub account, and no key API was found (0). 0+20+15+0 = 35."
        },
        "scores": {
          "a": 20,
          "b": 35
        }
      },
      {
        "by": 12,
        "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": "SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Closed service. The Terms of Use name the entity, Singapore law and SIAC arbitration. They also grant a licence \"for in Singapore\" and forbid use for any commercial purposes, which sits oddly with a paid API (10 of 30). The terms and the privacy policy agree that Interaction Data is processed on the customer's instructions with no obligation to store it. No retention period or DPA was found, and the privacy policy keeps drafting brackets around several values (12 of 30). Dated removal notices in the release notes, with no written policy or notice period (8 of 20). Stripe is named as payment processor and other providers only by type. Data may be handled within or outside Singapore, with no locations given (4 of 20). 10+12+8+4 = 34."
        },
        "scores": {
          "a": 64,
          "b": 52
        }
      },
      {
        "by": 5,
        "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": "SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Model reading. Public OpenAPI 3.0 file with 22 operations and 102 schemas, linked from `llms.txt` under the Chinese path only. Its chat model enum of 71 ids includes removed models and omits every model added since July 2026 (19 of 25). `llms.txt` and a Markdown copy of each docs page (10). Guides for function calling, JSON mode, reasoning, prefix and FIM completion. The function calling guide lists only models the release notes show as removed, and its examples use DeepSeek-V2.5 (10 of 20). Typed parameters with 104 enums and required fields. `response_format` is typed as a bare string with an example (10 of 15). Curl and Python examples, an error page with seven HTTP codes and one body code, and 400, 401, 404, 429, 503 and 504 responses in the file (9 of 15). The file's version reads 1.0.0. The release notes are dated, stop at 11 June 2026 and since March 2026 record only model removals (7 of 15). 19+10+10+10+9+7 = 65."
        },
        "scores": {
          "a": 70,
          "b": 65
        }
      }
    ],
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Thinking Machines Lab",
        "b": "SiliconFlow Labs Pte. Ltd.",
        "name": "Vendor"
      },
      {
        "a": "https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1",
        "b": "https://api.siliconflow.com/v1",
        "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 SiliconFlow Terms of Use",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-11-05",
        "b": "2026-09-14",
        "name": "Last release"
      },
      {
        "a": "not read yet",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "not read yet",
        "b": "no date given",
        "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": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not read yet",
        "b": "yes",
        "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": "2.5/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Inkling 2 Small scores 52.1 (D) on agent readiness against SiliconFlow's 42.9 (E), and leads in 5 of 7 scored categories. SiliconFlow leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, Inkling 2 Small or SiliconFlow?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Inkling 2 Small and SiliconFlow 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 SiliconFlow at https://api.siliconflow.com/v1.",
        "question": "Can an agent call Inkling 2 Small and SiliconFlow without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Schema \u0026 documentation, 70 against 65",
          "Security \u0026 auth, 57 against 39",
          "Maintenance \u0026 community, 75 against 37",
          "Transparency \u0026 trust, 64 against 52"
        ],
        "also": [
          "No incidents deducted, where SiliconFlow loses 3 points for them"
        ],
        "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": [
          "Payments \u0026 pricing, 35 against 20"
        ],
        "also": null,
        "goodFor": "Agents that want recent open-weight chat models, plus image, video and speech, behind one OpenAI-style key at low per-token prices, and can live without a status page or SLA.",
        "slug": "siliconflow",
        "watchFor": "No status page, incident history or SLA was found, and the terms disclaim any uptime or availability commitment"
      }
    ],
    "history": {
      "inkling-2-small": null,
      "siliconflow": [
        {
          "causes": [
            "correction",
            "time"
          ],
          "date": "2026-11-05",
          "delta": -3.9,
          "from": 46.8,
          "fromGrade": "D",
          "to": 42.9,
          "toGrade": "E"
        },
        {
          "causes": [
            "correction"
          ],
          "date": "2026-10-28",
          "delta": -0.2,
          "from": 47,
          "fromGrade": "D",
          "to": 46.8,
          "toGrade": "D"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-27",
          "delta": 0.3,
          "from": 46.7,
          "fromGrade": "D",
          "to": 47,
          "toGrade": "D"
        }
      ]
    },
    "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-siliconflow.json",
        "title": "Claude API vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-siliconflow"
      },
      {
        "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-siliconflow.json",
        "title": "Antseed vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-siliconflow"
      },
      {
        "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-siliconflow.json",
        "title": "BlockRun.AI vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-siliconflow"
      },
      {
        "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-siliconflow.json",
        "title": "Cerebras Inference vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-siliconflow"
      },
      {
        "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-siliconflow.json",
        "title": "Cloudflare AI Gateway vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-siliconflow"
      },
      {
        "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-siliconflow.json",
        "title": "Cloudflare Workers AI vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-siliconflow"
      },
      {
        "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-siliconflow.json",
        "title": "Cohere Chat API (Command models) vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-siliconflow"
      },
      {
        "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-siliconflow.json",
        "title": "DeepInfra vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-siliconflow"
      },
      {
        "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-siliconflow.json",
        "title": "DeepSeek API vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-siliconflow"
      },
      {
        "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-siliconflow.json",
        "title": "Glimpse vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-siliconflow"
      },
      {
        "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-siliconflow.json",
        "title": "Fireworks AI Inference vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-inkling-2-small.json",
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        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-siliconflow.json",
        "title": "Gemini Developer API vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-siliconflow"
      },
      {
        "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-siliconflow.json",
        "title": "GroqCloud vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/groq-vs-siliconflow"
      },
      {
        "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-novita-ai.json",
        "title": "Inkling 2 Small vs Novita AI",
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        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-openai-api.json",
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        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-prism-inference.json",
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        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-ramp-router.json",
        "title": "Inkling 2 Small vs Router.com (Ramp Router)",
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        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-routerplus.json",
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        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-sambanova.json",
        "title": "Inkling 2 Small vs SambaCloud",
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        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-simplismart.json",
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        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-stepfun-api.json",
        "title": "Inkling 2 Small vs StepFun API",
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        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-together-inference.json",
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        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-together-inference"
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      {
        "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"
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      {
        "json": "https://www.anchorterminal.com/compare/jais-3-vs-siliconflow.json",
        "title": "Jais 3 vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/jais-3-vs-siliconflow"
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      {
        "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-siliconflow.json",
        "title": "Meta Model API vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-siliconflow"
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        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-siliconflow.json",
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      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-siliconflow.json",
        "title": "Mistral AI API vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-siliconflow"
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        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-siliconflow.json",
        "title": "Muse Spark Open vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-siliconflow"
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      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-siliconflow.json",
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        "title": "OpenRouter vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/openrouter-vs-siliconflow"
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        "title": "Prism Inference vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow"
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        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-siliconflow"
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        "json": "https://www.anchorterminal.com/compare/routerplus-vs-siliconflow.json",
        "title": "RouterPlus vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/routerplus-vs-siliconflow"
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      {
        "json": "https://www.anchorterminal.com/compare/sambanova-vs-siliconflow.json",
        "title": "SambaCloud vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/sambanova-vs-siliconflow"
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      {
        "json": "https://www.anchorterminal.com/compare/siliconflow-vs-simplismart.json",
        "title": "SiliconFlow vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/siliconflow-vs-simplismart"
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      {
        "json": "https://www.anchorterminal.com/compare/siliconflow-vs-stepfun-api.json",
        "title": "SiliconFlow vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/siliconflow-vs-stepfun-api"
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        "url": "https://www.anchorterminal.com/compare/siliconflow-vs-swe-2-flash"
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        "json": "https://www.anchorterminal.com/compare/siliconflow-vs-tencent-tokenhub.json",
        "title": "SiliconFlow vs Tencent Cloud TokenHub",
        "url": "https://www.anchorterminal.com/compare/siliconflow-vs-tencent-tokenhub"
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        "json": "https://www.anchorterminal.com/compare/siliconflow-vs-together-inference.json",
        "title": "SiliconFlow vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/siliconflow-vs-together-inference"
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        "json": "https://www.anchorterminal.com/compare/siliconflow-vs-vercel-ai-gateway.json",
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        "url": "https://www.anchorterminal.com/compare/siliconflow-vs-vercel-ai-gateway"
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        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow.json",
        "title": "Nemotron 3.5 Super VL vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow"
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    "panel": null,
    "scores": [
      {
        "by": 3,
        "edge": "siliconflow",
        "inkling-2-small": 30,
        "key": "reliability",
        "name": "Reliability",
        "siliconflow": 33,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 5,
        "edge": "inkling-2-small",
        "inkling-2-small": 70,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "siliconflow": 65,
        "weight": 13
      },
      {
        "by": 2,
        "edge": "inkling-2-small",
        "inkling-2-small": 62,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "siliconflow": 60,
        "weight": 13
      },
      {
        "by": 18,
        "edge": "inkling-2-small",
        "inkling-2-small": 57,
        "key": "security",
        "name": "Security \u0026 auth",
        "siliconflow": 39,
        "weight": 14
      },
      {
        "by": 15,
        "edge": "siliconflow",
        "inkling-2-small": 20,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "siliconflow": 35,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 38,
        "edge": "inkling-2-small",
        "inkling-2-small": 75,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "siliconflow": 37,
        "weight": 7
      },
      {
        "by": 12,
        "edge": "inkling-2-small",
        "inkling-2-small": 64,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "siliconflow": 52,
        "weight": 7
      }
    ],
    "summary": "Inkling 2 Small scores 52.1 (D) on agent readiness against SiliconFlow's 42.9 (E), and leads in 5 of 7 scored categories. SiliconFlow leads on payments \u0026 pricing. 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.",
      "siliconflow": "Per-token prices for every listed model are public, and one key reaches chat, embeddings, reranking, image, video and speech through OpenAI-style and Anthropic-style routes. No status page, SLA, security page or official SDK was found, release notes stop at 11 June 2026, and several model removals are dated the same day as their notice."
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  "markdown": "Inkling 2 Small scores 52.1 (D) on agent readiness against SiliconFlow's 42.9 (E), and leads in 5 of 7 scored categories. SiliconFlow leads on payments \u0026 pricing. 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- SiliconFlow: grade E, 42.9/100, rank #1133 of 1354. Markdown https://www.anchorterminal.com/tools/siliconflow.md · JSON https://www.anchorterminal.com/api/v1/tools/siliconflow.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 65\n- Security \u0026 auth, 57 against 39\n- Maintenance \u0026 community, 75 against 37\n- Transparency \u0026 trust, 64 against 52\n\nAlso in its favour:\n- No incidents deducted, where SiliconFlow loses 3 points for them\n\nWatch for: Serverless inference and the OpenAI-compatible API are both labelled beta, with a waitlist for higher throughput\n\n### SiliconFlow (E)\n\nGood for: Agents that want recent open-weight chat models, plus image, video and speech, behind one OpenAI-style key at low per-token prices, and can live without a status page or SLA.\n\nAhead on:\n- Payments \u0026 pricing, 35 against 20\n\nWatch for: No status page, incident history or SLA was found, and the terms disclaim any uptime or availability commitment\n\n\n## Why the edge\n\n### Maintenance \u0026 community: Inkling 2 Small +38\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- SiliconFlow (37): SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Model reading, per the 9 October check, not re-read on 5 November. Hy4-preview is listed as released on 14 September 2026, 52 days before this check, and no later model or API change was recorded; blog post dates record no API change (20). No notice period is stated. Six removal notices from 31 December 2025 to 11 June 2026 are dated the day of removal, and two in March 2026 gave six and seven days (2 of 12). The release notes record about 60 model ids removed in ten notices over the last twelve months (2 of 8). The release notes stop at 11 June 2026 while nine chat models were added afterwards. Support is by email and Discord (6 of 15). Replies in the support channels were not examined (2 of 10). No official SDK. The `langchain-siliconflow` repository in the vendor's GitHub organisation was last changed on 12 December 2025 (version 0.2.3), confirmed from a clone on 5 November (3 of 15). The API description and two guides are out of date (2 of 10). 20+2+2+6+2+3+2 = 37.\n\n### Security \u0026 auth: Inkling 2 Small +18\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- SiliconFlow (39): SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Model reading. Bearer keys created in the console. No scopes, expiry, per-key limits or rotation are documented, and deletion of a key was not confirmed because the console was not read (15 of 30). The terms say Interaction Data is used only to supply the service and is not used or disclosed without authorisation. No statement on model training was found (12 of 20). The terms say there is no obligation to store Interaction Data. No retention period or zero-retention option is stated, and clause 5.11 allows communications to be recorded and passed to the authorities (6 of 15). The release note of 26 March 2026 describes usage and cost breakdowns and invoice export, and the pricing FAQ says monthly spending limits can be set. No audit log was found (6 of 15). No security.txt (404), disclosure policy, bug bounty or named certification was found on the pages read. The product introduction says the service complies with industry standards and names none (0 of 20). 15+12+6+6+0 = 39.\n\n### Payments \u0026 pricing: SiliconFlow +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- SiliconFlow (35): SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. No machine payment protocol (0). Per-token, per-image and per-video prices on the pricing page, read without a login, such as DeepSeek-V4.1-Flash at $0.15 in and $0.60 out per 1M tokens (20). $1 in free credits for a new account. Whether a card is needed was not established, so this line takes 15 of 20. A person signs up in a browser with a Google or GitHub account, and no key API was found (0). 0+20+15+0 = 35.\n\n### Transparency \u0026 trust: Inkling 2 Small +12\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- SiliconFlow (52): SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Closed service. The Terms of Use name the entity, Singapore law and SIAC arbitration. They also grant a licence \"for in Singapore\" and forbid use for any commercial purposes, which sits oddly with a paid API (10 of 30). The terms and the privacy policy agree that Interaction Data is processed on the customer's instructions with no obligation to store it. No retention period or DPA was found, and the privacy policy keeps drafting brackets around several values (12 of 30). Dated removal notices in the release notes, with no written policy or notice period (8 of 20). Stripe is named as payment processor and other providers only by type. Data may be handled within or outside Singapore, with no locations given (4 of 20). 10+12+8+4 = 34.\n\n### Schema \u0026 documentation: Inkling 2 Small +5\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- SiliconFlow (65): SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Model reading. Public OpenAPI 3.0 file with 22 operations and 102 schemas, linked from `llms.txt` under the Chinese path only. Its chat model enum of 71 ids includes removed models and omits every model added since July 2026 (19 of 25). `llms.txt` and a Markdown copy of each docs page (10). Guides for function calling, JSON mode, reasoning, prefix and FIM completion. The function calling guide lists only models the release notes show as removed, and its examples use DeepSeek-V2.5 (10 of 20). Typed parameters with 104 enums and required fields. `response_format` is typed as a bare string with an example (10 of 15). Curl and Python examples, an error page with seven HTTP codes and one body code, and 400, 401, 404, 429, 503 and 504 responses in the file (9 of 15). The file's version reads 1.0.0. The release notes are dated, stop at 11 June 2026 and since March 2026 record only model removals (7 of 15). 19+10+10+10+9+7 = 65.\n\n## Score by category\n\n| Category | Weight | Inkling 2 Small | SiliconFlow | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 30 | 33 | SiliconFlow +3 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 70 | 65 | Inkling 2 Small +5 |\n| Agent ergonomics | 13% (16.2 this run) | 62 | 60 | Inkling 2 Small +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 57 | 39 | Inkling 2 Small +18 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 35 | SiliconFlow +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 75 | 37 | Inkling 2 Small +38 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 64 | 52 | Inkling 2 Small +12 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **52.1 · D** | **42.9 · E** | |\n\n## Facts side by side\n\n| Fact | Inkling 2 Small | SiliconFlow |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Thinking Machines Lab | SiliconFlow Labs Pte. Ltd. |\n| Hosted endpoint | `https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1` | `https://api.siliconflow.com/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 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 SiliconFlow Terms of Use |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-11-05 | 2026-09-14 |\n| Terms last updated | not read yet | no date given |\n| Privacy policy last updated | not read yet | no date given |\n| Customer content may train models | not read yet | not found in the text |\n| Terms restrict automated access | not read yet | yes |\n| Terms restrict benchmarking | not read yet | yes |\n| Terms or service can change without notice | not read yet | yes |\n| Arbitration or class-action waiver | not read yet | yes |\n| Agent reviews | none | 2.5/5 (4) |\n\n## How the scores have moved\n\n### Inkling 2 Small\n\nNo score change since it was listed.\n\n### SiliconFlow\n\n- -3.9 on 5 November 2026 (D to E): correction, time\n- -0.2 on 28 October 2026: correction\n- +0.3 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**SiliconFlow.** Per-token prices for every listed model are public, and one key reaches chat, embeddings, reranking, image, video and speech through OpenAI-style and Anthropic-style routes. No status page, SLA, security page or official SDK was found, release notes stop at 11 June 2026, and several model removals are dated the same day as their notice.\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### SiliconFlow\n\n1. Set the OpenAI client's base URL to `https://api.siliconflow.com/v1`, or the Anthropic client's to `https://api.siliconflow.com/`, and send the key as a Bearer token\n2. Take model ids from the model pages or `GET /v1/models`, not from the OpenAPI enum or the function calling guide, which list removed models\n3. Check the `model` field of each response. On 11 June 2026 traffic for GLM-5 and Kimi-K2.5 was routed to successor models\n4. Use `response_format` of `json_object` only where the model page says JSON Mode is supported, and keep `max_tokens` about 10,000 below the context length\n5. Set the Claude Code environment variables by hand. The automated route pipes a script from an Amazon S3 bucket into bash\n\n## Questions\n\n### Which is better for AI agents, Inkling 2 Small or SiliconFlow?\n\nInkling 2 Small scores 52.1 (D) on agent readiness against SiliconFlow's 42.9 (E), and leads in 5 of 7 scored categories. SiliconFlow leads on payments \u0026 pricing.\n\n### Do Inkling 2 Small and SiliconFlow need an API key?\n\nBoth need an API key.\n\n### Can an agent call Inkling 2 Small and SiliconFlow without installing anything?\n\nYes. Inkling 2 Small has a hosted endpoint at https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1 and SiliconFlow at https://api.siliconflow.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/inkling-2-small-vs-siliconflow.json, and with the fewest tokens: https://www.anchorterminal.com/compare/inkling-2-small-vs-siliconflow.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"inkling-2-small\", \"b\": \"siliconflow\"}`. From a terminal: `anchor compare inkling-2-small siliconflow`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/inkling-2-small.json and https://www.anchorterminal.com/api/v1/tools/siliconflow.json\n\n## Other comparisons with Inkling 2 Small or SiliconFlow\n\n- [Claude API vs Inkling 2 Small](https://www.anchorterminal.com/compare/anthropic-api-vs-inkling-2-small.md)\n- [Claude API vs SiliconFlow](https://www.anchorterminal.com/compare/anthropic-api-vs-siliconflow.md)\n- [Antseed vs Inkling 2 Small](https://www.anchorterminal.com/compare/antseed-vs-inkling-2-small.md)\n- [Antseed vs SiliconFlow](https://www.anchorterminal.com/compare/antseed-vs-siliconflow.md)\n- [BlockRun.AI vs Inkling 2 Small](https://www.anchorterminal.com/compare/blockrun-ai-vs-inkling-2-small.md)\n- [BlockRun.AI vs SiliconFlow](https://www.anchorterminal.com/compare/blockrun-ai-vs-siliconflow.md)\n- [Cerebras Inference vs Inkling 2 Small](https://www.anchorterminal.com/compare/cerebras-inference-vs-inkling-2-small.md)\n- [Cerebras Inference vs SiliconFlow](https://www.anchorterminal.com/compare/cerebras-inference-vs-siliconflow.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 SiliconFlow](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-siliconflow.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 SiliconFlow](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-siliconflow.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 SiliconFlow](https://www.anchorterminal.com/compare/cohere-chat-vs-siliconflow.md)\n- [DeepInfra vs Inkling 2 Small](https://www.anchorterminal.com/compare/deepinfra-vs-inkling-2-small.md)\n- [DeepInfra vs SiliconFlow](https://www.anchorterminal.com/compare/deepinfra-vs-siliconflow.md)\n- [DeepSeek API vs Inkling 2 Small](https://www.anchorterminal.com/compare/deepseek-api-vs-inkling-2-small.md)\n- [DeepSeek API vs SiliconFlow](https://www.anchorterminal.com/compare/deepseek-api-vs-siliconflow.md)\n- [Glimpse vs Inkling 2 Small](https://www.anchorterminal.com/compare/elorian-glimpse-vs-inkling-2-small.md)\n- [Glimpse vs SiliconFlow](https://www.anchorterminal.com/compare/elorian-glimpse-vs-siliconflow.md)\n- [Fireworks AI Inference vs Inkling 2 Small](https://www.anchorterminal.com/compare/fireworks-inference-vs-inkling-2-small.md)\n- [Fireworks AI Inference vs SiliconFlow](https://www.anchorterminal.com/compare/fireworks-inference-vs-siliconflow.md)\n- [Gemini Developer API vs Inkling 2 Small](https://www.anchorterminal.com/compare/gemini-api-vs-inkling-2-small.md)\n- [Gemini Developer API vs SiliconFlow](https://www.anchorterminal.com/compare/gemini-api-vs-siliconflow.md)\n- [GroqCloud vs Inkling 2 Small](https://www.anchorterminal.com/compare/groq-vs-inkling-2-small.md)\n- [GroqCloud vs SiliconFlow](https://www.anchorterminal.com/compare/groq-vs-siliconflow.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 Novita AI](https://www.anchorterminal.com/compare/inkling-2-small-vs-novita-ai.md)\n- [Inkling 2 Small vs OpenAI API](https://www.anchorterminal.com/compare/inkling-2-small-vs-openai-api.md)\n- [Inkling 2 Small vs OpenRouter](https://www.anchorterminal.com/compare/inkling-2-small-vs-openrouter.md)\n- [Inkling 2 Small vs Prism Inference](https://www.anchorterminal.com/compare/inkling-2-small-vs-prism-inference.md)\n- [Inkling 2 Small vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/inkling-2-small-vs-ramp-router.md)\n- [Inkling 2 Small vs Beam 1.0](https://www.anchorterminal.com/compare/inkling-2-small-vs-reflection-beam.md)\n- [Inkling 2 Small vs RouterPlus](https://www.anchorterminal.com/compare/inkling-2-small-vs-routerplus.md)\n- [Inkling 2 Small vs SambaCloud](https://www.anchorterminal.com/compare/inkling-2-small-vs-sambanova.md)\n- [Inkling 2 Small vs Simplismart](https://www.anchorterminal.com/compare/inkling-2-small-vs-simplismart.md)\n- [Inkling 2 Small vs StepFun API](https://www.anchorterminal.com/compare/inkling-2-small-vs-stepfun-api.md)\n- [Inkling 2 Small vs SWE-2 Flash](https://www.anchorterminal.com/compare/inkling-2-small-vs-swe-2-flash.md)\n- [Inkling 2 Small vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/inkling-2-small-vs-tencent-tokenhub.md)\n- [Inkling 2 Small vs Together AI Inference](https://www.anchorterminal.com/compare/inkling-2-small-vs-together-inference.md)\n- [Inkling 2 Small vs Vercel AI Gateway](https://www.anchorterminal.com/compare/inkling-2-small-vs-vercel-ai-gateway.md)\n- [Jais 3 vs SiliconFlow](https://www.anchorterminal.com/compare/jais-3-vs-siliconflow.md)\n- [Meta Model API vs SiliconFlow](https://www.anchorterminal.com/compare/meta-model-api-vs-siliconflow.md)\n- [MiniMax API vs SiliconFlow](https://www.anchorterminal.com/compare/minimax-api-vs-siliconflow.md)\n- [Mistral AI API vs SiliconFlow](https://www.anchorterminal.com/compare/mistral-api-vs-siliconflow.md)\n- [Muse Spark Open vs SiliconFlow](https://www.anchorterminal.com/compare/muse-spark-open-vs-siliconflow.md)\n- [Novita AI vs SiliconFlow](https://www.anchorterminal.com/compare/novita-ai-vs-siliconflow.md)\n- [OpenAI API vs SiliconFlow](https://www.anchorterminal.com/compare/openai-api-vs-siliconflow.md)\n- [OpenRouter vs SiliconFlow](https://www.anchorterminal.com/compare/openrouter-vs-siliconflow.md)\n- [Prism Inference vs SiliconFlow](https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow.md)\n- [Router.com (Ramp Router) vs SiliconFlow](https://www.anchorterminal.com/compare/ramp-router-vs-siliconflow.md)\n- [Beam 1.0 vs SiliconFlow](https://www.anchorterminal.com/compare/reflection-beam-vs-siliconflow.md)\n- [RouterPlus vs SiliconFlow](https://www.anchorterminal.com/compare/routerplus-vs-siliconflow.md)\n- [SambaCloud vs SiliconFlow](https://www.anchorterminal.com/compare/sambanova-vs-siliconflow.md)\n- [SiliconFlow vs Simplismart](https://www.anchorterminal.com/compare/siliconflow-vs-simplismart.md)\n- [SiliconFlow vs StepFun API](https://www.anchorterminal.com/compare/siliconflow-vs-stepfun-api.md)\n- [SiliconFlow vs SWE-2 Flash](https://www.anchorterminal.com/compare/siliconflow-vs-swe-2-flash.md)\n- [SiliconFlow vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/siliconflow-vs-tencent-tokenhub.md)\n- [SiliconFlow vs Together AI Inference](https://www.anchorterminal.com/compare/siliconflow-vs-together-inference.md)\n- [SiliconFlow vs Vercel AI Gateway](https://www.anchorterminal.com/compare/siliconflow-vs-vercel-ai-gateway.md)\n- [Nemotron 3.5 Super VL vs SiliconFlow](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow.md)\n",
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    "title": "Inkling 2 Small vs SiliconFlow for AI agents (2026) | Anchor Terminal",
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