{ "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": "Router.com (Ramp Router) scores 53.7 (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 reliability, schema \u0026 documentation and maintenance \u0026 community.", "b": { "slug": "ramp-router", "name": "Router.com (Ramp Router)", "vendor": "Ramp", "vendorUrl": "https://router.com", "kind": "router", "category": "inference", "summary": "Router.com (Ramp Router) is Ramp's LLM gateway. One API key reaches OpenAI, Anthropic, xAI and open-weight models through OpenAI Responses, Chat Completions and Anthropic Messages endpoints, with fallbacks, Flex-tier routing, shadow testing and benchmark aliases.", "url": "https://www.anchorterminal.com/tools/ramp-router", "markdownUrl": "https://www.anchorterminal.com/tools/ramp-router.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/ramp-router.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/ramp-router.json", "dns": "ramp-router.grade.anchorterminal.com", "repo": "https://github.com/ramp-public/ramp-cli", "license": "Closed service under the Router Terms of Service (last updated 31 August 2026). The Ramp CLI that configures coding agents for Router is MIT.", "transports": [ "http" ], "remoteUrl": "https://api.router.com/v1", "packages": [ { "registry": "npm", "name": "@ramp/router" } ], "auth": "api-key", "authNotes": "A Router API key, sent as `Authorization: Bearer` or `X-Api-Key`. A person signs up in the browser with Sign in with Ramp, or by email or Google with a business email address on a business domain (Gmail, Outlook, iCloud, Proton and similar are refused); other people can ask router@ramp.com for manual onboarding. Keys are created on the dashboard's API keys page and shown once, or by the Ramp CLI after browser approval. Each key can carry a lifetime or periodic spend cap and be locked, unlocked or revoked (https://docs.router.com/api/endpoint.md, https://docs.router.com/resources/signup-eligibility.md).", "pricing": "usage", "pricingNotes": "Routing is free through 2026, and models are billed at list price per 1M tokens from account credit. Router.com says the first $26 of credits are free. Requests served with the caller's own provider keys carry no Router charge, unless they fall back to Router's shared key. No routing price after 2026 was found. Per-model prices are public at https://router.com/models and https://docs.router.com/supported-models.md.", "priceSummary": "0% fee", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs at https://docs.router.com (all 41 Markdown pages read on 27 October 2026). Calls draw on account credit, and a 402 means the account has no available credit.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 1667, "pypiWeekly": null, "asOf": "2026-10-27" }, "docsUrl": "https://docs.router.com", "llmsTxt": "https://docs.router.com/llms.txt", "capabilities": [ "inference.router", "inference.llm", "inference.decision" ], "tags": [ "hosted", "router", "closed-source", "usage-priced", "prepaid", "free-credit", "llms-txt", "openai-compatible", "anthropic-compatible", "streaming", "prompt-caching", "cli", "new" ], "lastRelease": "2026-11-03", "graded": true, "anchor": { "graded": true, "score": 53.7, "grade": "D", "agentReady": false, "rank": 844, "ranked": true, "rankOf": 1354, "categoryRank": 23, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 77, "maintenance": 59, "payments": 40, "reliability": 22, "schema": 58, "security": 66, "transparency": 64 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-04" }, "negative": 0, "verdict": "Detailed Markdown docs with typed error codes, per-model capability data and routing an agent can set per request. No OpenAPI document, status page, changelog or published rate limits were found. Signup needs a US business email in a browser, and Ramp records prompts and outputs for a year by default unless switched off.", "bestFor": "Teams in the US that want one key for OpenAI, Anthropic, xAI and open-weight models, with routing to cheaper tiers and per-request cost, and can switch off content recording.", "strengths": [ "llms.txt and a Markdown copy of every docs page, with a field table for each endpoint and an error reference with an action per code", "`GET /v1/models` returns limits, tool, structured-output, caching and reasoning support, and per-provider prices for each model", "Fallback lists of up to 15 provider, model and tier candidates, with timeouts that bound each attempt", "Every response names the serving provider, and Responses calls return `usage.cost` in USD", "Routing is free through 2026, BYOK requests carry no Router charge, and the first $26 of credits are free" ], "weaknesses": [ "Ramp-side content recording is on by default and keeps prompts, outputs and tool calls for one year", "No OpenAPI document, status page, changelog, SLA or published rate limits were found", "Signup needs a US business email domain or Sign in with Ramp, in a browser", "No batch, embeddings or files routes, and Chat Completions lacks fallback lists and cost", "No routing price after 31 December 2026 was found" ], "agentNotes": [ "Switch off content recording in Settings before sending private data. It is on by default and keeps prompts and outputs for a year", "Read model ids from `GET /v1/models` at runtime. Ids are account-specific, an unknown one is a 404, and Gemini ids need your own Google key", "Use `POST /v1/responses` with a `models` list for fallbacks. Router stops falling back once a stream has started", "Set `fallback_timeout` and `provider_timeout`, or `allow_flex_tier: false`, when latency matters. Flex routing is on by default", "Treat both `401 invalid_api_key` and `401 api_key_deactivated` as a possibly locked key, and stop retrying on `402`" ], "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": 53.7 } ], "editorialScores": { "ergonomics": 77, "maintenance": 59, "payments": 40, "reliability": 22, "schema": 58, "security": 66, "transparency": 50 }, "provenanceScore": 77, "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": "curl -fsSL https://router.com/install.sh | sh # Ramp CLI, configures Claude Code, Codex, OpenCode, Pi, Hermes or Conductor", "http": "curl https://api.router.com/v1/responses \\\n -H \"Authorization: Bearer $RAMP_ROUTER_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"models\":[\"openai:gpt-5.4-mini\",\"fireworks:accounts/fireworks/models/kimi-k3\"],\"input\":\"Reply with one word: pong.\",\"max_output_tokens\":16}'" }, "letme": { "capability": "https://letme.dev/inference.router", "tool": "https://letme.dev/ramp-router" }, "area": "models", "unitPrices": [ { "item": "Routing fee", "unit": "pct", "usd": 0, "note": "Free through 2026. Models are billed at list price" }, { "item": "Claude Opus 5.5 input", "unit": "1m-tokens", "usd": 4, "note": "claude-opus-5-5, 1,000,000-token context" }, { "item": "Claude Opus 5.5 output", "unit": "1m-tokens", "usd": 20 }, { "item": "GPT-6.1 Sol input", "unit": "1m-tokens", "usd": 2, "note": "gpt-6.1-sol, 1,050,000-token context" }, { "item": "GPT-6.1 Sol output", "unit": "1m-tokens", "usd": 10 }, { "item": "Kimi K3 input", "unit": "1m-tokens", "usd": 3, "note": "kimi-k3, served by Fireworks or Baseten" }, { "item": "Kimi K3 output", "unit": "1m-tokens", "usd": 15 } ], "provenance": { "legalEntity": "Ramp Business Corporation", "domain": "router.com", "domainRegistered": "1995-07-26", "endpointOnVendorDomain": true, "terms": "https://ramp.com/legal/developer-terms/developer-terms/router-terms-of-service", "privacy": "https://ramp.com/legal/privacy-terms/privacy-terms/router-privacy-notice", "statusPage": "", "changelog": "", "securityTxt": "valid", "checked": "2026-11-04", "notes": [ "The Router Terms of Service page renders only with JavaScript. The legal entity was read from the legal site's script files on 27 October, a reading this run no longer counts, and is kept as recorded pending a ruling.", "The Router Privacy Notice URL linked from router.com answers 301 to Ramp's general privacy policy. The docs FAQ and model pages now link Ramp's general privacy policy directly.", "No status page found. status.router.com does not resolve, router.com/status answers 404, and no status link appears in the docs or on router.com.", "No changelog found. The docs index lists none. The Ramp CLI's tagged releases are the only dated release record.", "router.com/.well-known/security.txt gives security-external@ramp.com as the contact and expires on 18 March 2027.", "router.com robots.txt carries Content-Signal search=yes, ai-input=yes, ai-train=yes.", "RDAP gives router.com a registration date of 26 July 1995 and Cloudflare, Inc. as registrar, per the 27 October check, so the domain predates Ramp. The earlier API host router-api.ramp.com still answered on 27 October." ], "score": 77 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/ramp-router.json", "live": { "slug": "ramp-router", "probe": { "target": "https://api.router.com/v1", "method": "get", "lastAt": "2026-11-06T09:47:46.036641309Z", "lastOk": true, "lastStatus": 401, "lastMs": 334, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 351, "p95ms24h": 470, "samples24h": 221, "samples30d": 2282, "days": [ { "date": "2026-10-27", "probes": 3, "ok": 3 }, { "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 } ] }, "versions": [ { "registry": "github", "name": "ramp-public/ramp-cli", "version": "v0.2.94", "released": "2026-11-04", "seenAt": "2026-11-05T22:01:37.847140006Z" }, { "registry": "npm", "name": "@ramp/router", "version": "0.2.94", "seenAt": "2026-11-05T22:01:37.053110774Z" } ], "githubStars": 52, "npmWeekly": 2142, "securityTxt": { "url": "https://router.com/.well-known/security.txt", "state": "valid", "expires": "2027-03-18T19:00:00.000Z", "checkedAt": "2026-11-05T15:55:05.882428738Z" }, "llmsTxt": { "url": "https://docs.router.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-05T15:27:06.719846128Z" }, "domain": { "domain": "router.com", "registered": "1995-07-26", "source": "https://rdap.verisign.com/com/v1/domain/router.com", "checkedAt": "2026-11-01T14:14:03.12738718Z" }, "pages": [ { "url": "https://ramp.com/legal/privacy-terms/privacy-terms/router-privacy-notice", "kind": "privacy", "status": 200, "checkedAt": "2026-11-05T13:02:35.755065425Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e3b0c44298fc" }, { "url": "https://ramp.com/legal/developer-terms/developer-terms/router-terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-11-05T13:02:31.808811759Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e3b0c44298fc" } ], "github": { "repo": "ramp-public/ramp-cli", "checkedAt": "2026-11-02T08:23:11.9563797Z", "stars": 52, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T03:49:03Z", "openIssues": 2, "openPRs": 5, "issuesOpened90d": 1, "issuesClosed90d": 0, "prsMerged90d": 0, "ci": { "branch": "main", "runs": 50, "success": 30, "failure": 20, "other": 0, "latest": "success", "latestAt": "2026-11-02T04:00:13Z" }, "replies": { "sampled": 2, "unanswered": 2 } }, "updatedAt": "2026-11-06T09:47:46.036641309Z" } }, "edges": [ { "by": 20, "category": "payments", "leads": "ramp-router", "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 x402, MPP or L402 in any of the 41 docs pages. Calls draw on account credit (0). Per-token prices for every model are public at router.com/models and in the supported-models page without a login (20). Router.com says routing is free through 2026 and the first $26 of credits are free, and BYOK requests carry no Router charge. We did not sign up to confirm that no card is asked for (20). A person signs up in the browser with a US business email or Sign in with Ramp, and the CLI creates keys only after browser approval (0)." }, "scores": { "a": 20, "b": 40 } }, { "by": 16, "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": "Router, read on the model lines for a closed service. The Ramp CLI that ships the `router` commands tagged v0.2.91 on 3 November 2026, a release that changes `router.py` and `router_credentials.py`, one of 81 tags since 6 August (30). Models carry a `deprecated` status and the docs list deprecated and retired models, but no notice period is stated, and the Baseten retirement note gives no date and says requests aren't redirected (4 of 12). Provider-specific Baseten ids and several Fireworks models were retired without dates. The API host moved from router-api.ramp.com to api.router.com, and the old host still answers (3 of 8). No public API changelog. Support is a dashboard button and router@ramp.com, not tested (5 of 15). ramp-cli issue replies were not read, because GitHub's API wasn't available to this session (3 of 10). No API SDK. The Ramp CLI (MIT, npm @ramp/router and @ramp/cli, tagged v0.2.91 in the repository, Homebrew; npm itself not read) sets up agents and keys (7 of 15). The CLI repository has CI, build, npm and router-integration workflows and a tests folder, with 46 commit days since 29 July. ci.yml runs `cargo test` and `pytest` on pushes to main, and the results were not readable (7 of 10)." }, "scores": { "a": 75, "b": 59 } }, { "by": 15, "category": "ergonomics", "leads": "ramp-router", "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": "Router, read on the model lines (tool use, structured output, caching, context, batch, SDKs, errors). Tools pass through on Responses, Messages and Chat Completions, and `GET /v1/models` reports `tools.supported` and `parallel` per model, with `null` where Router doesn't know. Behaviour depends on the model (16 of 20). The docs say JSON Schema output is expected to work across providers subject to model support, and each model carries a `structured_outputs` flag. A request the provider can't represent is a 501 (12 of 15). Cache read and write prices per model, a `prompt_cache_key` session lease of 5 or 30 minutes that keeps a session on the provider with a warm cache, and `cache_control` on Messages (14 of 15). Contexts up to 1,050,000 tokens on GPT-6.1 Sol and 1,048,576 on Kimi K3, a judgement call since a router has no default model (15). No batch route; the docs say Router doesn't serve batches (0 of 10). No SDK of its own. The OpenAI and Anthropic SDKs work with a changed base URL, framework setups are documented, and the MIT Ramp CLI configures six coding agents (5 of 10). Typed codes for every error, a `limit` object naming the cap and who set it, an all-candidates-failed summary, request and trace ids on every response and the serving provider in a header (15)." }, "scores": { "a": 62, "b": 77 } }, { "by": 12, "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": "Router, scored on the API lines. No OpenAPI or other machine-readable contract found. /openapi.json on docs.router.com returns the docs app shell. The API follows the OpenAI and Anthropic wire formats, which this checklist doesn't credit to a router, the same reading as RouterPlus (0 of 25). llms.txt and a Markdown copy of every page at the same path with `.md` (10). Pages say which endpoint to prefer and why, what isn't served (embeddings, files, batches), which Chat Completions controls return 501, and which workload suits which job (17 of 20). Router-only fields are tabled with types and bounds, the route selector rules are stated (`model` or `models` but never both, 1 to 15 candidates), over-limit timeouts are a 400 naming the maximum, and the model list documents a typed `router` object with a `schema_version`. Request bodies otherwise follow the upstream formats (12 of 15). curl, OpenAI SDK, Anthropic SDK, LangChain, Vercel AI SDK, LlamaIndex and Pydantic AI examples, and an error reference with a status, code and action for each case (15). Paths sit under `/v1` and the model object is versioned, but no API changelog or dated release notes were found (4 of 15)." }, "scores": { "a": 70, "b": 58 } }, { "by": 9, "category": "security", "leads": "ramp-router", "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": "Router, read on the model lines. Router keys are shown once, can expire, carry lifetime or periodic spend caps, can be locked, unlocked or revoked, and each key has its own model set and default workload. No permission scopes or programmatic rotation were found (24 of 30). The docs FAQ says Ramp-side content recording is on by default and keeps inputs, outputs and tool calls for one year for debugging, semantic analysis and product improvement, with detected personal data removed before product use. Provider training terms are in Ramp's Provider Schedule, which renders only with JavaScript. Its 27 October reading came from the legal site's script and is no longer counted, so the line is held (6 of 20). Recording can be switched off account-wide, propagating asynchronously and without deleting existing archives, and flagged content may still be kept up to 30 days. The docs FAQ points to the Provider Schedule for zero data retention policies and exceptions, which could not be read, so the line is held (10 of 15). Logs show model, provider, status, tokens, cost, latency, fallback candidates, credential source and routing decisions per request, with usage export to S3 for Router Admins (14 of 15). A valid security.txt on router.com points to Ramp's security address. Ramp's SOC 2 and ISO 27001 reports, per the ramp listing's 8 October check, were not shown to cover Router, which is a separate product under its own terms. No bug bounty found (12 of 20)." }, "scores": { "a": 57, "b": 66 } }, { "by": 8, "category": "reliability", "leads": "inkling-2-small", "name": "Reliability", "reasons": { "a": "Model reading, for the surface it's called on, Tinker's serverless inference and OpenAI-compatible API. No status page found, per the tinker listing's checks of 1 October and 4 November (0), so no readable incident history (5). The only published limit is the in-flight sample cap of 2,000, per the tinker listing's 1 October check; the OpenAI-compatible page gives no numbers and says higher or more stable throughput needs the waitlist (10). The SDK retries sampling with stable request IDs, per the tinker listing's reading of the SDK repository; the OpenAI-compatible page has no retry guidance (15). No SLA found (0). Serverless inference is 'currently in beta' on the models and pricing page and the OpenAI-compatible API is labelled Beta, read 6 November (0). 0 + 5 + 10 + 15 + 0 + 0 = 30.", "b": "Hosted reading. No status page found. status.router.com still does not resolve on 4 November, router.com/status answers 404, and neither the docs nor router.com link one (0). No readable incident history (5). No request or token rate limits are published. The docs say limits vary by model and list only technical limits, a 100 MiB body, 15 candidates and 100 keys per user (0). The errors page passes through provider `retry-after` and `retry-after-ms`, tells clients to respect them, gives a retry or fallback action for every 4xx and 5xx code, says retrying a 501 unchanged won't help and that a failed fallback candidate is not retried, and the fallbacks guide says truncated attempts are billed on top of later attempts. No idempotency key exists for the generation call that starts billing, so this is safe-retry guidance without keys (12). No SLA found in the docs or on router.com (0). The public API carries no beta label in the docs, and the docs llms.txt, re-read on 4 November, still says to treat 'beta pricing, limits, and enterprise controls as subject to change'. A 27 October reading of Ramp's product schedule came from the legal site's script and is no longer counted, so the line keeps its earlier partial value (5 of 10). 0 + 5 + 0 + 12 + 0 + 5 = 22." }, "scores": { "a": 30, "b": 22 } } ], "facts": [ { "a": "Model API", "b": "Model router", "name": "Kind" }, { "a": "Thinking Machines Lab", "b": "Ramp", "name": "Vendor" }, { "a": "https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1", "b": "https://api.router.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": "Closed service under the Router Terms of Service (last updated 31 August 2026). The Ramp CLI that configures coding agents for Router is MIT.", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-11-05", "b": "2026-11-03", "name": "Last release" }, { "a": "not read yet", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "not read yet", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "not read yet", "b": "couldn't be read", "name": "Customer content may train models" }, { "a": "not read yet", "b": "couldn't be read", "name": "Terms restrict automated access" }, { "a": "not read yet", "b": "couldn't be read", "name": "Terms restrict benchmarking" }, { "a": "not read yet", "b": "couldn't be read", "name": "Terms or service can change without notice" }, { "a": "not read yet", "b": "couldn't be read", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "1.7k npm/wk", "name": "Popularity" } ], "faq": [ { "answer": "Router.com (Ramp Router) scores 53.7 (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 reliability, schema \u0026 documentation and maintenance \u0026 community.", "question": "Which is better for AI agents, Inkling 2 Small or Router.com (Ramp Router)?" }, { "answer": "Both need an API key.", "question": "Do Inkling 2 Small and Router.com (Ramp Router) 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 Router.com (Ramp Router) at https://api.router.com/v1.", "question": "Can an agent call Inkling 2 Small and Router.com (Ramp Router) without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 30 against 22", "Schema \u0026 documentation, 70 against 58", "Maintenance \u0026 community, 75 against 59" ], "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, 77 against 62", "Security \u0026 auth, 66 against 57", "Payments \u0026 pricing, 40 against 20" ], "also": null, "goodFor": "Teams in the US that want one key for OpenAI, Anthropic, xAI and open-weight models, with routing to cheaper tiers and per-request cost, and can switch off content recording.", "slug": "ramp-router", "watchFor": "Ramp-side content recording is on by default and keeps prompts, outputs and tool calls for one year" } ], "history": { "inkling-2-small": null, "ramp-router": [ { "causes": [ "correction" ], "date": "2026-11-04", "delta": -0.6, "from": 54.3, "fromGrade": "C", "to": 53.7, "toGrade": "D" }, { "causes": [ "method" ], "date": "2026-10-30", "delta": -0.2, "from": 54.5, "fromGrade": "C", "to": 54.3, "toGrade": "C" } ] }, "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-ramp-router.json", "title": "Claude API vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-ramp-router" }, { "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/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-ramp-router.json", "title": "BlockRun.AI vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-ramp-router" }, { "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-ramp-router.json", "title": "Cerebras Inference vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-ramp-router" }, { "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-ramp-router.json", "title": "Cloudflare AI Gateway vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-ramp-router" }, { "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-ramp-router.json", "title": "Cloudflare Workers AI vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-ramp-router" }, { "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-ramp-router.json", "title": "Cohere Chat API (Command models) vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-ramp-router" }, { "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-ramp-router.json", "title": "DeepInfra vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/deepinfra-vs-ramp-router" }, { "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-ramp-router.json", "title": "DeepSeek API vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-ramp-router" }, { "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-ramp-router.json", "title": "Glimpse vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-ramp-router" }, { "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-ramp-router.json", "title": "Fireworks AI Inference vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-ramp-router" }, { "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-ramp-router.json", "title": "Gemini Developer API vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/gemini-api-vs-ramp-router" }, { "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-ramp-router.json", "title": "GroqCloud vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/groq-vs-ramp-router" }, { "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", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-novita-ai" }, { "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-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-ramp-router.json", "title": "Jais 3 vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/jais-3-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-ramp-router.json", "title": "Meta Model API vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/minimax-api-vs-ramp-router.json", "title": "MiniMax API vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/minimax-api-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-ramp-router.json", "title": "Mistral AI API vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-ramp-router.json", "title": "Muse Spark Open vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-ramp-router.json", "title": "Nemotron 3.5 Super VL vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-ramp-router" }, { "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/openai-api-vs-ramp-router.json", "title": "OpenAI API vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/openai-api-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-ramp-router.json", "title": "OpenRouter vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/openrouter-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-ramp-router.json", "title": "Prism Inference vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/ramp-router-vs-reflection-beam.json", "title": "Router.com (Ramp Router) vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/ramp-router-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/ramp-router-vs-sambanova.json", "title": "Router.com (Ramp Router) vs SambaCloud", "url": "https://www.anchorterminal.com/compare/ramp-router-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/ramp-router-vs-siliconflow.json", "title": "Router.com (Ramp Router) vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/ramp-router-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/ramp-router-vs-simplismart.json", "title": "Router.com (Ramp Router) vs Simplismart", "url": "https://www.anchorterminal.com/compare/ramp-router-vs-simplismart" }, { "json": "https://www.anchorterminal.com/compare/ramp-router-vs-stepfun-api.json", "title": "Router.com (Ramp Router) vs StepFun API", "url": "https://www.anchorterminal.com/compare/ramp-router-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/ramp-router-vs-swe-2-flash.json", "title": "Router.com (Ramp Router) vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/ramp-router-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/ramp-router-vs-together-inference.json", "title": "Router.com (Ramp Router) vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/ramp-router-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-ramp-router.json", "title": "Antseed vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/antseed-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/ramp-router-vs-routerplus.json", "title": "Router.com (Ramp Router) vs RouterPlus", "url": "https://www.anchorterminal.com/compare/ramp-router-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/ramp-router-vs-tencent-tokenhub.json", "title": "Router.com (Ramp Router) vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/ramp-router-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/ramp-router-vs-vercel-ai-gateway.json", "title": "Router.com (Ramp Router) vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/ramp-router-vs-vercel-ai-gateway" } ], "panel": null, "scores": [ { "by": 8, "edge": "inkling-2-small", "inkling-2-small": 30, "key": "reliability", "name": "Reliability", "ramp-router": 22, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 12, "edge": "inkling-2-small", "inkling-2-small": 70, "key": "schema", "name": "Schema \u0026 documentation", "ramp-router": 58, "weight": 13 }, { "by": 15, "edge": "ramp-router", "inkling-2-small": 62, "key": "ergonomics", "name": "Agent ergonomics", "ramp-router": 77, "weight": 13 }, { "by": 9, "edge": "ramp-router", "inkling-2-small": 57, "key": "security", "name": "Security \u0026 auth", "ramp-router": 66, "weight": 14 }, { "by": 20, "edge": "ramp-router", "inkling-2-small": 20, "key": "payments", "name": "Payments \u0026 pricing", "ramp-router": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 16, "edge": "inkling-2-small", "inkling-2-small": 75, "key": "maintenance", "name": "Maintenance \u0026 community", "ramp-router": 59, "weight": 7 }, { "by": 0, "edge": "", "inkling-2-small": 64, "key": "transparency", "name": "Transparency \u0026 trust", "ramp-router": 64, "weight": 7 } ], "summary": "Router.com (Ramp Router) scores 53.7 (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 reliability, schema \u0026 documentation and maintenance \u0026 community. 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.", "ramp-router": "Detailed Markdown docs with typed error codes, per-model capability data and routing an agent can set per request. No OpenAPI document, status page, changelog or published rate limits were found. Signup needs a US business email in a browser, and Ramp records prompts and outputs for a year by default unless switched off." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/inkling-2-small-vs-ramp-router", "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-ramp-router.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/inkling-2-small-vs-ramp-router.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/inkling-2-small-vs-ramp-router.min.md" }, "markdown": "Router.com (Ramp Router) scores 53.7 (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 reliability, schema \u0026 documentation and maintenance \u0026 community. 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- Router.com (Ramp Router): grade D, 53.7/100, rank #844 of 1354. Markdown https://www.anchorterminal.com/tools/ramp-router.md · JSON https://www.anchorterminal.com/api/v1/tools/ramp-router.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- Reliability, 30 against 22\n- Schema \u0026 documentation, 70 against 58\n- Maintenance \u0026 community, 75 against 59\n\nWatch for: Serverless inference and the OpenAI-compatible API are both labelled beta, with a waitlist for higher throughput\n\n### Router.com (Ramp Router) (D)\n\nGood for: Teams in the US that want one key for OpenAI, Anthropic, xAI and open-weight models, with routing to cheaper tiers and per-request cost, and can switch off content recording.\n\nAhead on:\n- Agent ergonomics, 77 against 62\n- Security \u0026 auth, 66 against 57\n- Payments \u0026 pricing, 40 against 20\n\nWatch for: Ramp-side content recording is on by default and keeps prompts, outputs and tool calls for one year\n\n\n## Why the edge\n\n### Payments \u0026 pricing: Router.com (Ramp Router) +20\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- Router.com (Ramp Router) (40): No x402, MPP or L402 in any of the 41 docs pages. Calls draw on account credit (0). Per-token prices for every model are public at router.com/models and in the supported-models page without a login (20). Router.com says routing is free through 2026 and the first $26 of credits are free, and BYOK requests carry no Router charge. We did not sign up to confirm that no card is asked for (20). A person signs up in the browser with a US business email or Sign in with Ramp, and the CLI creates keys only after browser approval (0).\n\n### Maintenance \u0026 community: Inkling 2 Small +16\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- Router.com (Ramp Router) (59): Router, read on the model lines for a closed service. The Ramp CLI that ships the `router` commands tagged v0.2.91 on 3 November 2026, a release that changes `router.py` and `router_credentials.py`, one of 81 tags since 6 August (30). Models carry a `deprecated` status and the docs list deprecated and retired models, but no notice period is stated, and the Baseten retirement note gives no date and says requests aren't redirected (4 of 12). Provider-specific Baseten ids and several Fireworks models were retired without dates. The API host moved from router-api.ramp.com to api.router.com, and the old host still answers (3 of 8). No public API changelog. Support is a dashboard button and router@ramp.com, not tested (5 of 15). ramp-cli issue replies were not read, because GitHub's API wasn't available to this session (3 of 10). No API SDK. The Ramp CLI (MIT, npm @ramp/router and @ramp/cli, tagged v0.2.91 in the repository, Homebrew; npm itself not read) sets up agents and keys (7 of 15). The CLI repository has CI, build, npm and router-integration workflows and a tests folder, with 46 commit days since 29 July. ci.yml runs `cargo test` and `pytest` on pushes to main, and the results were not readable (7 of 10).\n\n### Agent ergonomics: Router.com (Ramp Router) +15\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- Router.com (Ramp Router) (77): Router, read on the model lines (tool use, structured output, caching, context, batch, SDKs, errors). Tools pass through on Responses, Messages and Chat Completions, and `GET /v1/models` reports `tools.supported` and `parallel` per model, with `null` where Router doesn't know. Behaviour depends on the model (16 of 20). The docs say JSON Schema output is expected to work across providers subject to model support, and each model carries a `structured_outputs` flag. A request the provider can't represent is a 501 (12 of 15). Cache read and write prices per model, a `prompt_cache_key` session lease of 5 or 30 minutes that keeps a session on the provider with a warm cache, and `cache_control` on Messages (14 of 15). Contexts up to 1,050,000 tokens on GPT-6.1 Sol and 1,048,576 on Kimi K3, a judgement call since a router has no default model (15). No batch route; the docs say Router doesn't serve batches (0 of 10). No SDK of its own. The OpenAI and Anthropic SDKs work with a changed base URL, framework setups are documented, and the MIT Ramp CLI configures six coding agents (5 of 10). Typed codes for every error, a `limit` object naming the cap and who set it, an all-candidates-failed summary, request and trace ids on every response and the serving provider in a header (15).\n\n### Schema \u0026 documentation: Inkling 2 Small +12\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- Router.com (Ramp Router) (58): Router, scored on the API lines. No OpenAPI or other machine-readable contract found. /openapi.json on docs.router.com returns the docs app shell. The API follows the OpenAI and Anthropic wire formats, which this checklist doesn't credit to a router, the same reading as RouterPlus (0 of 25). llms.txt and a Markdown copy of every page at the same path with `.md` (10). Pages say which endpoint to prefer and why, what isn't served (embeddings, files, batches), which Chat Completions controls return 501, and which workload suits which job (17 of 20). Router-only fields are tabled with types and bounds, the route selector rules are stated (`model` or `models` but never both, 1 to 15 candidates), over-limit timeouts are a 400 naming the maximum, and the model list documents a typed `router` object with a `schema_version`. Request bodies otherwise follow the upstream formats (12 of 15). curl, OpenAI SDK, Anthropic SDK, LangChain, Vercel AI SDK, LlamaIndex and Pydantic AI examples, and an error reference with a status, code and action for each case (15). Paths sit under `/v1` and the model object is versioned, but no API changelog or dated release notes were found (4 of 15).\n\n### Security \u0026 auth: Router.com (Ramp Router) +9\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- Router.com (Ramp Router) (66): Router, read on the model lines. Router keys are shown once, can expire, carry lifetime or periodic spend caps, can be locked, unlocked or revoked, and each key has its own model set and default workload. No permission scopes or programmatic rotation were found (24 of 30). The docs FAQ says Ramp-side content recording is on by default and keeps inputs, outputs and tool calls for one year for debugging, semantic analysis and product improvement, with detected personal data removed before product use. Provider training terms are in Ramp's Provider Schedule, which renders only with JavaScript. Its 27 October reading came from the legal site's script and is no longer counted, so the line is held (6 of 20). Recording can be switched off account-wide, propagating asynchronously and without deleting existing archives, and flagged content may still be kept up to 30 days. The docs FAQ points to the Provider Schedule for zero data retention policies and exceptions, which could not be read, so the line is held (10 of 15). Logs show model, provider, status, tokens, cost, latency, fallback candidates, credential source and routing decisions per request, with usage export to S3 for Router Admins (14 of 15). A valid security.txt on router.com points to Ramp's security address. Ramp's SOC 2 and ISO 27001 reports, per the ramp listing's 8 October check, were not shown to cover Router, which is a separate product under its own terms. No bug bounty found (12 of 20).\n\n### Reliability: Inkling 2 Small +8\n\n- Inkling 2 Small (30): Model reading, for the surface it's called on, Tinker's serverless inference and OpenAI-compatible API. No status page found, per the tinker listing's checks of 1 October and 4 November (0), so no readable incident history (5). The only published limit is the in-flight sample cap of 2,000, per the tinker listing's 1 October check; the OpenAI-compatible page gives no numbers and says higher or more stable throughput needs the waitlist (10). The SDK retries sampling with stable request IDs, per the tinker listing's reading of the SDK repository; the OpenAI-compatible page has no retry guidance (15). No SLA found (0). Serverless inference is 'currently in beta' on the models and pricing page and the OpenAI-compatible API is labelled Beta, read 6 November (0). 0 + 5 + 10 + 15 + 0 + 0 = 30.\n- Router.com (Ramp Router) (22): Hosted reading. No status page found. status.router.com still does not resolve on 4 November, router.com/status answers 404, and neither the docs nor router.com link one (0). No readable incident history (5). No request or token rate limits are published. The docs say limits vary by model and list only technical limits, a 100 MiB body, 15 candidates and 100 keys per user (0). The errors page passes through provider `retry-after` and `retry-after-ms`, tells clients to respect them, gives a retry or fallback action for every 4xx and 5xx code, says retrying a 501 unchanged won't help and that a failed fallback candidate is not retried, and the fallbacks guide says truncated attempts are billed on top of later attempts. No idempotency key exists for the generation call that starts billing, so this is safe-retry guidance without keys (12). No SLA found in the docs or on router.com (0). The public API carries no beta label in the docs, and the docs llms.txt, re-read on 4 November, still says to treat 'beta pricing, limits, and enterprise controls as subject to change'. A 27 October reading of Ramp's product schedule came from the legal site's script and is no longer counted, so the line keeps its earlier partial value (5 of 10). 0 + 5 + 0 + 12 + 0 + 5 = 22.\n\n## Score by category\n\n| Category | Weight | Inkling 2 Small | Router.com (Ramp Router) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 30 | 22 | Inkling 2 Small +8 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 70 | 58 | Inkling 2 Small +12 |\n| Agent ergonomics | 13% (16.2 this run) | 62 | 77 | Router.com (Ramp Router) +15 |\n| Security \u0026 auth | 14% (17.5 this run) | 57 | 66 | Router.com (Ramp Router) +9 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 40 | Router.com (Ramp Router) +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 75 | 59 | Inkling 2 Small +16 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 64 | 64 | even |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **52.1 · D** | **53.7 · D** | |\n\n## Facts side by side\n\n| Fact | Inkling 2 Small | Router.com (Ramp Router) |\n| --- | --- | --- |\n| Kind | Model API | Model router |\n| Vendor | Thinking Machines Lab | Ramp |\n| Hosted endpoint | `https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1` | `https://api.router.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 | Closed service under the Router Terms of Service (last updated 31 August 2026). The Ramp CLI that configures coding agents for Router is MIT. |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-11-05 | 2026-11-03 |\n| Terms last updated | not read yet | couldn't be read |\n| Privacy policy last updated | not read yet | couldn't be read |\n| Customer content may train models | not read yet | couldn't be read |\n| Terms restrict automated access | not read yet | couldn't be read |\n| Terms restrict benchmarking | not read yet | couldn't be read |\n| Terms or service can change without notice | not read yet | couldn't be read |\n| Arbitration or class-action waiver | not read yet | couldn't be read |\n| Popularity | none | 1.7k npm/wk |\n\n## How the scores have moved\n\n### Inkling 2 Small\n\nNo score change since it was listed.\n\n### Router.com (Ramp Router)\n\n- -0.6 on 4 November 2026 (C to D): correction\n- -0.2 on 30 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**Router.com (Ramp Router).** Detailed Markdown docs with typed error codes, per-model capability data and routing an agent can set per request. No OpenAPI document, status page, changelog or published rate limits were found. Signup needs a US business email in a browser, and Ramp records prompts and outputs for a year by default unless switched off.\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### Router.com (Ramp Router)\n\n1. Switch off content recording in Settings before sending private data. It is on by default and keeps prompts and outputs for a year\n2. Read model ids from `GET /v1/models` at runtime. Ids are account-specific, an unknown one is a 404, and Gemini ids need your own Google key\n3. Use `POST /v1/responses` with a `models` list for fallbacks. Router stops falling back once a stream has started\n4. Set `fallback_timeout` and `provider_timeout`, or `allow_flex_tier: false`, when latency matters. Flex routing is on by default\n5. Treat both `401 invalid_api_key` and `401 api_key_deactivated` as a possibly locked key, and stop retrying on `402`\n\n## Questions\n\n### Which is better for AI agents, Inkling 2 Small or Router.com (Ramp Router)?\n\nRouter.com (Ramp Router) scores 53.7 (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 reliability, schema \u0026 documentation and maintenance \u0026 community.\n\n### Do Inkling 2 Small and Router.com (Ramp Router) need an API key?\n\nBoth need an API key.\n\n### Can an agent call Inkling 2 Small and Router.com (Ramp Router) without installing anything?\n\nYes. Inkling 2 Small has a hosted endpoint at https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1 and Router.com (Ramp Router) at https://api.router.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/inkling-2-small-vs-ramp-router.json, and with the fewest tokens: https://www.anchorterminal.com/compare/inkling-2-small-vs-ramp-router.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"inkling-2-small\", \"b\": \"ramp-router\"}`. From a terminal: `anchor compare inkling-2-small ramp-router`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/inkling-2-small.json and https://www.anchorterminal.com/api/v1/tools/ramp-router.json\n\n## Other comparisons with Inkling 2 Small or Router.com (Ramp Router)\n\n- [Claude API vs Inkling 2 Small](https://www.anchorterminal.com/compare/anthropic-api-vs-inkling-2-small.md)\n- [Claude API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/anthropic-api-vs-ramp-router.md)\n- [Antseed vs Inkling 2 Small](https://www.anchorterminal.com/compare/antseed-vs-inkling-2-small.md)\n- [BlockRun.AI vs Inkling 2 Small](https://www.anchorterminal.com/compare/blockrun-ai-vs-inkling-2-small.md)\n- [BlockRun.AI vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/blockrun-ai-vs-ramp-router.md)\n- [Cerebras Inference vs Inkling 2 Small](https://www.anchorterminal.com/compare/cerebras-inference-vs-inkling-2-small.md)\n- [Cerebras Inference vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/cerebras-inference-vs-ramp-router.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-ramp-router.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-ramp-router.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/cohere-chat-vs-ramp-router.md)\n- [DeepInfra vs Inkling 2 Small](https://www.anchorterminal.com/compare/deepinfra-vs-inkling-2-small.md)\n- [DeepInfra vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/deepinfra-vs-ramp-router.md)\n- [DeepSeek API vs Inkling 2 Small](https://www.anchorterminal.com/compare/deepseek-api-vs-inkling-2-small.md)\n- [DeepSeek API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/deepseek-api-vs-ramp-router.md)\n- [Glimpse vs Inkling 2 Small](https://www.anchorterminal.com/compare/elorian-glimpse-vs-inkling-2-small.md)\n- [Glimpse vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/elorian-glimpse-vs-ramp-router.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/fireworks-inference-vs-ramp-router.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/gemini-api-vs-ramp-router.md)\n- [GroqCloud vs Inkling 2 Small](https://www.anchorterminal.com/compare/groq-vs-inkling-2-small.md)\n- [GroqCloud vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/groq-vs-ramp-router.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 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 SiliconFlow](https://www.anchorterminal.com/compare/inkling-2-small-vs-siliconflow.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/jais-3-vs-ramp-router.md)\n- [Meta Model API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/meta-model-api-vs-ramp-router.md)\n- [MiniMax API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/minimax-api-vs-ramp-router.md)\n- [Mistral AI API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/mistral-api-vs-ramp-router.md)\n- [Muse Spark Open vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/muse-spark-open-vs-ramp-router.md)\n- [Nemotron 3.5 Super VL vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-ramp-router.md)\n- [Novita AI vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/novita-ai-vs-ramp-router.md)\n- [OpenAI API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/openai-api-vs-ramp-router.md)\n- [OpenRouter vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/openrouter-vs-ramp-router.md)\n- [Prism Inference vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/prism-inference-vs-ramp-router.md)\n- [Router.com (Ramp Router) vs Beam 1.0](https://www.anchorterminal.com/compare/ramp-router-vs-reflection-beam.md)\n- [Router.com (Ramp Router) vs SambaCloud](https://www.anchorterminal.com/compare/ramp-router-vs-sambanova.md)\n- [Router.com (Ramp Router) vs SiliconFlow](https://www.anchorterminal.com/compare/ramp-router-vs-siliconflow.md)\n- [Router.com (Ramp Router) vs Simplismart](https://www.anchorterminal.com/compare/ramp-router-vs-simplismart.md)\n- [Router.com (Ramp Router) vs StepFun API](https://www.anchorterminal.com/compare/ramp-router-vs-stepfun-api.md)\n- [Router.com (Ramp Router) vs SWE-2 Flash](https://www.anchorterminal.com/compare/ramp-router-vs-swe-2-flash.md)\n- [Router.com (Ramp Router) vs Together AI Inference](https://www.anchorterminal.com/compare/ramp-router-vs-together-inference.md)\n- [Antseed vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/antseed-vs-ramp-router.md)\n- [Router.com (Ramp Router) vs RouterPlus](https://www.anchorterminal.com/compare/ramp-router-vs-routerplus.md)\n- [Router.com (Ramp Router) vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/ramp-router-vs-tencent-tokenhub.md)\n- [Router.com (Ramp Router) vs Vercel AI Gateway](https://www.anchorterminal.com/compare/ramp-router-vs-vercel-ai-gateway.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-06", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Inkling 2 Small vs Router.com (Ramp Router)", "url": "" } ], "description": "Router.com scores 53.7 (D) to Inkling 2 Small's 52.1 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Inkling 2 Small D 52.1", "Router.com (Ramp Router) D 53.7", "scores" ], "h1": "Inkling 2 Small vs Router.com (Ramp Router)", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/inkling-2-small-vs-ramp-router", "published": "2026-10-01", "section": "tools", "title": "Inkling 2 Small vs Router.com for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-06", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-ramp-router" }, "tokens": { "markdown": 6900, "slim": 3630 }, "version": 1 }