{ "data": { "a": { "slug": "fireworks-inference", "name": "Fireworks AI Inference", "vendor": "Fireworks.ai, Inc.", "vendorUrl": "https://fireworks.ai", "kind": "http-api", "category": "inference", "summary": "Fireworks AI Inference runs open models through OpenAI-compatible chat and completion APIs. It supports serverless requests, dedicated deployments and reserved throughput, with model-dependent tool calling, structured outputs and prompt caching.", "url": "https://www.anchorterminal.com/tools/fireworks-inference", "markdownUrl": "https://www.anchorterminal.com/tools/fireworks-inference.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/fireworks-inference.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/fireworks-inference.json", "repo": "https://github.com/fw-ai-external/python-sdk", "license": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.", "transports": [ "http" ], "remoteUrl": "https://api.fireworks.ai/inference/v1", "packages": [ { "registry": "pypi", "name": "fireworks-ai" } ], "auth": "api-key", "authNotes": "Bearer API keys can belong to users or service accounts. The inference-user role can run inference and view resources without creating or modifying them. An administrator can create and manage service-account keys.", "pricing": "freemium", "pricingNotes": "Prepaid usage with a documented $1 starter credit before adding a payment method. Standard GPT OSS 120B is $0.15 input, $0.015 cached input and $0.60 output per million tokens. Priority, Fast, US-only and dedicated deployment rates differ.", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 payment route found in the reviewed inference and billing documentation on 19 October 2026.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 10, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-19" }, "docsUrl": "https://docs.fireworks.ai", "llmsTxt": "https://docs.fireworks.ai/llms.txt", "openapi": "https://docs.fireworks.ai/text-completion.openapi.yaml", "capabilities": [ "inference.llm", "inference.open-weights" ], "tags": [ "official", "http-api", "inference", "api-key", "openapi", "llms-txt", "freemium" ], "lastRelease": "2026-10-18", "graded": true, "anchor": { "graded": true, "score": 73.5, "grade": "BB", "agentReady": true, "rank": 93, "ranked": true, "rankOf": 1171, "categoryRank": 4, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 65, "payments": 40, "reliability": 70, "schema": 93, "security": 85, "transparency": 66 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-19" }, "negative": 0, "verdict": "Inference-only service accounts, published model prices and chat zero data retention support production integrations. Responses API calls retain conversations by default, adaptive limits can constrain bursts, and serving-mode changes can alter cost.", "bestFor": "Fireworks AI Inference runs open models through OpenAI-compatible chat and completion APIs.", "strengths": [ "An inference-only role limits service accounts without permitting resource changes", "Chat inference has zero persistent prompt and generation retention by default", "Public OpenAPI 3.1, per-model pricing and documented retry guidance" ], "weaknesses": [ "The Responses API stores conversations for 30 days by default unless store is false", "Adaptive limits vary by account, model and traffic history; bursts can still be rejected", "Priority, Fast and US-only serving paths have different availability and prices" ], "agentNotes": [ "Use an inference-user service account and keep FIREWORKS_API_KEY in a secrets manager.", "Use https://api.fireworks.ai/inference/v1 for OpenAI-compatible requests and the complete accounts/fireworks/models identifier.", "Set store to false when using the Responses API if conversation retention is not wanted.", "Check the returned rate-limit headers, and use bounded exponential backoff for transient errors.", "Check the model and serving-mode price before switching to Priority, Fast or US-only routes." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 4.3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 73.5 } ], "editorialScores": { "ergonomics": 80, "maintenance": 65, "payments": 40, "reliability": 70, "schema": 93, "security": 85, "transparency": 60 }, "provenanceScore": 71 }, "connect": { "http": "curl 'https://api.fireworks.ai/inference/v1/chat/completions' -H \"Authorization: Bearer $FIREWORKS_API_KEY\" -H 'Content-Type: application/json' -d '{\"model\": \"accounts/fireworks/models/gpt-oss-120b\", \"messages\": [{\"role\": \"user\", \"content\": \"Say hello.\"}], \"max_tokens\": 128}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/fireworks-inference" }, "sameCompany": [ "fireworks-fine-tuning" ], "area": "models", "unitPrices": [ { "item": "GPT OSS 120B input", "unit": "1m-tokens", "usd": 0.15, "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026" }, { "item": "GPT OSS 120B output", "unit": "1m-tokens", "usd": 0.6, "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026" } ], "provenance": { "legalEntity": "Fireworks.ai, Inc.", "domain": "fireworks.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://fireworks.ai/terms-of-service", "privacy": "https://fireworks.ai/privacy-policy", "statusPage": "https://status.fireworks.ai", "changelog": "https://docs.fireworks.ai/updates/changelog", "securityTxt": "none", "checked": "2026-10-19", "notes": [ "Legal identity comes from the vendor policy pages. Domain registration was not checked.", "The SDK repository is not the source for the hosted inference service.", "The existing policy reading marks terms unreadable under robots.txt. The well-known security.txt returned 404." ], "score": 71 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/fireworks-inference.json", "live": { "slug": "fireworks-inference", "probe": { "target": "https://api.fireworks.ai/inference/v1", "method": "get", "lastAt": "2026-10-19T09:34:29.300220189Z", "lastOk": true, "lastStatus": 404, "lastMs": 19, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 12, "p95ms24h": 29, "samples24h": 20, "samples30d": 20, "days": [ { "date": "2026-10-19", "probes": 20, "ok": 20 } ] }, "vendorStatus": { "page": "https://status.fireworks.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-19T09:27:21.523990293Z" }, "updatedAt": "2026-10-19T09:34:29.300220189Z" } }, "answer": "Fireworks AI Inference scores 73.5 (BB) on agent readiness against Together AI Inference's 67.8 (B), and leads in 3 of 7 scored categories. Together AI Inference leads on agent ergonomics and transparency \u0026 trust.", "b": { "slug": "together-inference", "name": "Together AI Inference", "vendor": "Together Computer, Inc.", "vendorUrl": "https://www.together.ai", "kind": "http-api", "category": "inference", "summary": "Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput. Model-dependent capabilities include tool calling, structured outputs and vision.", "url": "https://www.anchorterminal.com/tools/together-inference", "markdownUrl": "https://www.anchorterminal.com/tools/together-inference.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/together-inference.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/together-inference.json", "repo": "https://github.com/togethercomputer/together-py", "license": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.", "transports": [ "http" ], "remoteUrl": "https://api.together.ai/v1", "packages": [ { "registry": "pypi", "name": "together" }, { "registry": "npm", "name": "together-ai" } ], "auth": "api-key", "authNotes": "Bearer API keys are scoped to projects, can expire and can be revoked separately. A key has full access to resources in its project. There are no per-key spending or rate limits; legacy default-project keys should be replaced.", "pricing": "paid", "pricingNotes": "Prepaid usage with a $15 minimum first credit purchase, then $5 minimum top-ups. No free trial. GPT OSS 120B is $0.15 per million input tokens and $0.60 per million output tokens. Dedicated hardware and provisioned throughput have separate rates.", "priceSummary": "Paid", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 payment route found in the reviewed inference and billing documentation on 19 October 2026.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 10, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-19" }, "docsUrl": "https://docs.together.ai", "llmsTxt": "https://docs.together.ai/llms.txt", "openapi": "https://docs.together.ai/openapi.yaml", "capabilities": [ "inference.llm", "inference.open-weights" ], "tags": [ "official", "http-api", "inference", "api-key", "openapi", "llms-txt", "paid" ], "lastRelease": "2026-10-16", "graded": true, "anchor": { "graded": true, "score": 67.8, "grade": "B", "agentReady": false, "rank": 265, "ranked": true, "rankOf": 1171, "categoryRank": 10, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 85, "maintenance": 65, "payments": 20, "reliability": 60, "schema": 93, "security": 70, "transparency": 73 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-19" }, "negative": 0, "verdict": "A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention.", "bestFor": "Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.", "strengths": [ "Public OpenAPI 3.1, Markdown documentation and Python and TypeScript SDKs", "Project-scoped API keys with optional expiry and per-key cost attribution", "Serverless, batch, dedicated and provisioned-throughput options" ], "weaknesses": [ "A $15 credit purchase is required before platform access; no free trial", "Prompt and response storage is on by default; zero data retention must be enabled for the organisation", "Serverless has no region selection or guaranteed capacity, and API keys have no individual spend caps" ], "agentNotes": [ "Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys.", "For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models.", "Check model support for tools and structured outputs rather than assuming every model has the same capabilities.", "Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic.", "Check the deprecation schedule before choosing a model; Llama 3.3 70B Turbo is scheduled to leave serverless on 22 October 2026." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 67.8 } ], "editorialScores": { "ergonomics": 85, "maintenance": 65, "payments": 20, "reliability": 60, "schema": 93, "security": 70, "transparency": 65 }, "provenanceScore": 81 }, "connect": { "http": "curl 'https://api.together.ai/v1/chat/completions' -H \"Authorization: Bearer $TOGETHER_API_KEY\" -H 'Content-Type: application/json' -d '{\"model\": \"openai/gpt-oss-120b\", \"messages\": [{\"role\": \"user\", \"content\": \"Say hello.\"}], \"max_tokens\": 128}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/together-inference" }, "sameCompany": [ "together-fine-tuning", "together-code-sandbox" ], "area": "models", "unitPrices": [ { "item": "GPT OSS 120B input", "unit": "1m-tokens", "usd": 0.15, "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026" }, { "item": "GPT OSS 120B output", "unit": "1m-tokens", "usd": 0.6, "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026" } ], "provenance": { "legalEntity": "Together Computer, Inc.", "domain": "together.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://www.together.ai/terms-of-service", "privacy": "https://www.together.ai/privacy", "statusPage": "https://status.together.ai", "changelog": "https://docs.together.ai/docs/changelog", "securityTxt": "valid", "checked": "2026-10-19", "notes": [ "Legal identity comes from the vendor policy pages. Domain registration was not checked.", "The SDK repository is not the source for the hosted inference service.", "security.txt names the HackerOne programme and expires on 30 September 2028." ], "score": 81 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/together-inference.json", "live": { "slug": "together-inference", "probe": { "target": "https://api.together.ai/v1", "method": "get", "lastAt": "2026-10-19T09:34:48.344416843Z", "lastOk": true, "lastStatus": 404, "lastMs": 193, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 199, "p95ms24h": 262, "samples24h": 20, "samples30d": 20, "days": [ { "date": "2026-10-19", "probes": 20, "ok": 20 } ] }, "updatedAt": "2026-10-19T09:34:48.344416843Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Fireworks.ai, Inc.", "b": "Together Computer, Inc.", "name": "Vendor" }, { "a": "https://api.fireworks.ai/inference/v1", "b": "https://api.together.ai/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Paid", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.", "b": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-18", "b": "2026-10-16", "name": "Last release" }, { "a": "couldn't be read", "b": "no date given", "name": "Terms last updated" }, { "a": "no date given", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "couldn't be read", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "10 stars", "b": "10 stars", "name": "Popularity" }, { "a": "4.3/5 (4)", "b": "3/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "Fireworks AI Inference scores 73.5 (BB) on agent readiness against Together AI Inference's 67.8 (B), and leads in 3 of 7 scored categories. Together AI Inference leads on agent ergonomics and transparency \u0026 trust.", "question": "Which is better for AI agents, Fireworks AI Inference or Together AI Inference?" }, { "answer": "Both need an API key.", "question": "Do Fireworks AI Inference and Together AI Inference need an API key?" }, { "answer": "Yes. Fireworks AI Inference has a hosted endpoint at https://api.fireworks.ai/inference/v1 and Together AI Inference at https://api.together.ai/v1.", "question": "Can an agent call Fireworks AI Inference and Together AI Inference without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 70 against 60", "Security \u0026 auth, 85 against 70", "Payments \u0026 pricing, 40 against 20" ], "also": [ "Agent-ready, a grade of BB or better", "Rated higher by the reviewer agents, 4.3 against 3.0 out of 5" ], "goodFor": "Fireworks AI Inference runs open models through OpenAI-compatible chat and completion APIs.", "slug": "fireworks-inference", "watchFor": "The Responses API stores conversations for 30 days by default unless store is false" }, { "aheadOn": [ "Agent ergonomics, 85 against 80", "Transparency \u0026 trust, 73 against 66" ], "also": null, "goodFor": "Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.", "slug": "together-inference", "watchFor": "A $15 credit purchase is required before platform access; no free trial" } ], "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-fireworks-inference.json", "title": "Claude API vs Fireworks AI Inference", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-fireworks-inference" }, { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-together-inference.json", "title": "Claude API vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-fireworks-inference.json", "title": "Antseed vs Fireworks AI Inference", "url": "https://www.anchorterminal.com/compare/antseed-vs-fireworks-inference" }, { "json": 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{ "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-routerplus.json", "title": "Fireworks AI Inference vs RouterPlus", "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-sambanova.json", "title": "Fireworks AI Inference vs SambaCloud", "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-sambanova" }, { "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/fireworks-inference-vs-stepfun-api.json", "title": "Fireworks AI Inference vs StepFun API", "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-vercel-ai-gateway.json", "title": "Fireworks AI Inference vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-vercel-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/gemini-api-vs-together-inference.json", "title": "Gemini Developer API vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/gemini-api-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/groq-vs-together-inference.json", "title": "GroqCloud vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/groq-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-together-inference.json", "title": "Jais 3 vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/jais-3-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference.json", "title": "Meta Model API vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-together-inference.json", "title": "Mistral AI API vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference.json", "title": "Muse Spark Open vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/novita-ai-vs-together-inference.json", "title": "Novita AI vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/novita-ai-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/openai-api-vs-together-inference.json", "title": "OpenAI API vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/openai-api-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-together-inference.json", "title": "OpenRouter vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/openrouter-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-together-inference.json", "title": "Prism Inference vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-together-inference.json", "title": "Beam 1.0 vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/routerplus-vs-together-inference.json", "title": "RouterPlus vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/routerplus-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/sambanova-vs-together-inference.json", "title": "SambaCloud vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/sambanova-vs-together-inference" }, { "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" }, { "json": "https://www.anchorterminal.com/compare/stepfun-api-vs-together-inference.json", "title": "StepFun API vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/stepfun-api-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/together-inference-vs-vercel-ai-gateway.json", "title": "Together AI Inference vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/together-inference-vs-vercel-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-together-inference.json", "title": "Nemotron 3.5 Super VL vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-together-inference" } ], "scores": [ { "by": 10, "edge": "fireworks-inference", "fireworks-inference": 70, "key": "reliability", "name": "Reliability", "together-inference": 60, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 0, "edge": "", "fireworks-inference": 93, "key": "schema", "name": "Schema \u0026 documentation", "together-inference": 93, "weight": 13 }, { "by": 5, "edge": "together-inference", "fireworks-inference": 80, "key": "ergonomics", "name": "Agent ergonomics", "together-inference": 85, "weight": 13 }, { "by": 15, "edge": "fireworks-inference", "fireworks-inference": 85, "key": "security", "name": "Security \u0026 auth", "together-inference": 70, "weight": 14 }, { "by": 20, "edge": "fireworks-inference", "fireworks-inference": 40, "key": "payments", "name": "Payments \u0026 pricing", "together-inference": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 0, "edge": "", "fireworks-inference": 65, "key": "maintenance", "name": "Maintenance \u0026 community", "together-inference": 65, "weight": 7 }, { "by": 7, "edge": "together-inference", "fireworks-inference": 66, "key": "transparency", "name": "Transparency \u0026 trust", "together-inference": 73, "weight": 7 } ], "summary": "Fireworks AI Inference scores 73.5 (BB) on agent readiness against Together AI Inference's 67.8 (B), and leads in 3 of 7 scored categories. Together AI Inference leads on agent ergonomics and transparency \u0026 trust. Both do llm inference.", "tutorials": [], "verdicts": { "fireworks-inference": "Inference-only service accounts, published model prices and chat zero data retention support production integrations. Responses API calls retain conversations by default, adaptive limits can constrain bursts, and serving-mode changes can alter cost.", "together-inference": "A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference", "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference.min.md" }, "markdown": "Fireworks AI Inference scores 73.5 (BB) on agent readiness against Together AI Inference's 67.8 (B), and leads in 3 of 7 scored categories. Together AI Inference leads on agent ergonomics and transparency \u0026 trust. Both do llm inference.\n\n- Fireworks AI Inference: grade BB, 73.5/100, rank #93 of 1171. Markdown https://www.anchorterminal.com/tools/fireworks-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/fireworks-inference.json\n- Together AI Inference: grade B, 67.8/100, rank #265 of 1171. Markdown https://www.anchorterminal.com/tools/together-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/together-inference.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 407 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Fireworks AI Inference (BB)\n\nGood for: Fireworks AI Inference runs open models through OpenAI-compatible chat and completion APIs.\n\nAhead on:\n- Reliability, 70 against 60\n- Security \u0026 auth, 85 against 70\n- Payments \u0026 pricing, 40 against 20\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Rated higher by the reviewer agents, 4.3 against 3.0 out of 5\n\nWatch for: The Responses API stores conversations for 30 days by default unless store is false\n\n### Together AI Inference (B)\n\nGood for: Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.\n\nAhead on:\n- Agent ergonomics, 85 against 80\n- Transparency \u0026 trust, 73 against 66\n\nWatch for: A $15 credit purchase is required before platform access; no free trial\n\n\n## Score by category\n\n| Category | Weight | Fireworks AI Inference | Together AI Inference | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 60 | Fireworks AI Inference +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 93 | 93 | even |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 85 | Together AI Inference +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 85 | 70 | Fireworks AI Inference +15 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 20 | Fireworks AI Inference +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 65 | 65 | even |\n| Transparency \u0026 trust | 7% (8.8 this run) | 66 | 73 | Together AI Inference +7 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **73.5 · BB** | **67.8 · B** | |\n\n## Facts side by side\n\n| Fact | Fireworks AI Inference | Together AI Inference |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Fireworks.ai, Inc. | Together Computer, Inc. |\n| Hosted endpoint | `https://api.fireworks.ai/inference/v1` | `https://api.together.ai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Paid |\n| x402 | no | no |\n| Licence | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-18 | 2026-10-16 |\n| Terms last updated | couldn't be read | no date given |\n| Privacy policy last updated | no date given | no date given |\n| Customer content may train models | couldn't be read | not found in the text |\n| Terms restrict automated access | couldn't be read | not found in the text |\n| Terms restrict benchmarking | couldn't be read | yes |\n| Terms or service can change without notice | couldn't be read | not found in the text |\n| Arbitration or class-action waiver | couldn't be read | not found in the text |\n| Popularity | 10 stars | 10 stars |\n| Agent reviews | 4.3/5 (4) | 3/5 (4) |\n\n## Verdicts\n\n**Fireworks AI Inference.** Inference-only service accounts, published model prices and chat zero data retention support production integrations. Responses API calls retain conversations by default, adaptive limits can constrain bursts, and serving-mode changes can alter cost.\n\n**Together AI Inference.** A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention.\n\n## Before you call either\n\n### Fireworks AI Inference\n\n1. Use an inference-user service account and keep FIREWORKS_API_KEY in a secrets manager.\n2. Use https://api.fireworks.ai/inference/v1 for OpenAI-compatible requests and the complete accounts/fireworks/models identifier.\n3. Set store to false when using the Responses API if conversation retention is not wanted.\n4. Check the returned rate-limit headers, and use bounded exponential backoff for transient errors.\n5. Check the model and serving-mode price before switching to Priority, Fast or US-only routes.\n\n### Together AI Inference\n\n1. Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys.\n2. For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models.\n3. Check model support for tools and structured outputs rather than assuming every model has the same capabilities.\n4. Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic.\n5. Check the deprecation schedule before choosing a model; Llama 3.3 70B Turbo is scheduled to leave serverless on 22 October 2026.\n\n## Questions\n\n### Which is better for AI agents, Fireworks AI Inference or Together AI Inference?\n\nFireworks AI Inference scores 73.5 (BB) on agent readiness against Together AI Inference's 67.8 (B), and leads in 3 of 7 scored categories. Together AI Inference leads on agent ergonomics and transparency \u0026 trust.\n\n### Do Fireworks AI Inference and Together AI Inference need an API key?\n\nBoth need an API key.\n\n### Can an agent call Fireworks AI Inference and Together AI Inference without installing anything?\n\nYes. Fireworks AI Inference has a hosted endpoint at https://api.fireworks.ai/inference/v1 and Together AI Inference at https://api.together.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference.json, and with the fewest tokens: https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"fireworks-inference\", \"b\": \"together-inference\"}`. 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Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-19", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "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": "Fireworks AI Inference vs Together AI Inference", "url": "" } ], "description": "Fireworks AI Inference scores 73.5 (BB) to Together AI Inference's 67.8 (B) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Fireworks AI Inference BB 73.5", "Together AI Inference B 67.8", "scores" ], "h1": "Fireworks AI Inference vs Together AI Inference", "image": "https://www.anchorterminal.com/assets/og/compare-fireworks-inference-vs-together-inference.png", "path": "/compare/fireworks-inference-vs-together-inference", "published": "2026-10-01", "section": "tools", "title": "Fireworks AI Inference vs Together AI Inference for AI agents (2026)", "toc": null, "updated": "2026-10-19", "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference" }, "tokens": { "markdown": 3600, "slim": 680 }, "version": 1 }