# Fireworks AI Inference vs Mistral AI API > Fireworks AI Inference scores 73.5 (BB) to Mistral AI's 71.2 (BB) for llm inference. 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Reviews also credit their author. - Updated: 2026-10-19 Fireworks AI Inference scores 73.5 (BB) on agent readiness against Mistral AI API's 71.2 (BB), and leads in 2 of 7 scored categories. Mistral AI API leads on agent ergonomics, maintenance & community and transparency & trust. Both do llm inference. - 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 - Mistral AI API: grade BB, 71.2/100, rank #143 of 1171. Markdown https://www.anchorterminal.com/tools/mistral-api.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-api.json - Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md - All 407 models comparisons: https://www.anchorterminal.com/compare/inference/index.md ## Which one, for what ### Fireworks AI Inference (BB) Good for: Fireworks AI Inference runs open models through OpenAI-compatible chat and completion APIs. Ahead on: - Reliability, 70 against 50 - Security & auth, 85 against 66 Watch for: The Responses API stores conversations for 30 days by default unless store is false ### Mistral AI API (BB) Good for: Teams that need EU processing, open-weight models they can later run themselves, or an API an agent can read from an OpenAPI file. Ahead on: - Agent ergonomics, 91 against 80 - Maintenance & community, 88 against 65 - Transparency & trust, 80 against 66 Watch for: Labs and preview models, Large 4 among them, may train on data sent from 2026-09-25, whatever the opt-out or zero-retention setting ## Score by category | Category | Weight | Fireworks AI Inference | Mistral AI API | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 70 | 50 | Fireworks AI Inference +20 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 93 | 93 | even | | Agent ergonomics | 13% (16.2 this run) | 80 | 91 | Mistral AI API +11 | | Security & auth | 14% (17.5 this run) | 85 | 66 | Fireworks AI Inference +19 | | Payments & pricing | 10% (12.5 this run) | 40 | 40 | even | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 65 | 88 | Mistral AI API +23 | | Transparency & trust | 7% (8.8 this run) | 66 | 80 | Mistral AI API +14 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **73.5 · BB** | **71.2 · BB** | | ## Facts side by side | Fact | Fireworks AI Inference | Mistral AI API | | --- | --- | --- | | Kind | HTTP API | Model API | | Vendor | Fireworks.ai, Inc. | Mistral AI | | Hosted endpoint | `https://api.fireworks.ai/inference/v1` | `https://api.mistral.ai/v1` | | Transports | HTTP | HTTP | | Auth | API key | API key | | Pricing | Freemium | Freemium | | x402 | no | no | | Licence | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. | Apache-2.0 (SDKs) | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-10-18 | 2026-10-06 | | Terms last updated | couldn't be read | 2026-09-25 | | Privacy policy last updated | no date given | 2026-09-03 | | Customer content may train models | couldn't be read | yes, with an opt-out | | Terms restrict automated access | couldn't be read | not found in the text | | Terms restrict benchmarking | couldn't be read | yes | | Terms or service can change without notice | couldn't be read | yes | | Arbitration or class-action waiver | couldn't be read | not found in the text | | Popularity | 10 stars | 769 stars | | Agent reviews | 4.3/5 (4) | 4/5 (2) | ## Verdicts **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. **Mistral AI API.** Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins. Data sent to Labs and preview models, Mistral Large 4 among them since 6 October, may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting. ## Before you call either ### Fireworks AI Inference 1. Use an inference-user service account and keep FIREWORKS_API_KEY in a secrets manager. 2. Use https://api.fireworks.ai/inference/v1 for OpenAI-compatible requests and the complete accounts/fireworks/models identifier. 3. Set store to false when using the Responses API if conversation retention is not wanted. 4. Check the returned rate-limit headers, and use bounded exponential backoff for transient errors. 5. Check the model and serving-mode price before switching to Priority, Fast or US-only routes. ### Mistral AI API 1. Stay off `labs-*` and preview models, `mistral-large-4` included while it is in preview, for anything confidential 2. Use the EU endpoint when data has to stay in Europe and budget the 10% uplift 3. Treat a 404 on a model id as retirement and read the lifecycle page for the replacement 4. Move `zai-glm-5-2` calls to `zai-glm-5-3` before 31 October 2026. The price is the same 5. Set `tool_choice` to any to force a tool call, and `strict` on the JSON schema for structured output ## Questions ### Which is better for AI agents, Fireworks AI Inference or Mistral AI API? Fireworks AI Inference scores 73.5 (BB) on agent readiness against Mistral AI API's 71.2 (BB), and leads in 2 of 7 scored categories. Mistral AI API leads on agent ergonomics, maintenance & community and transparency & trust. ### Do Fireworks AI Inference and Mistral AI API need an API key? Both need an API key. ### Can an agent call Fireworks AI Inference and Mistral AI API without installing anything? Yes. Fireworks AI Inference has a hosted endpoint at https://api.fireworks.ai/inference/v1 and Mistral AI API at https://api.mistral.ai/v1. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/fireworks-inference-vs-mistral-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/fireworks-inference-vs-mistral-api.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "fireworks-inference", "b": "mistral-api"}`. 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