{
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        {
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      "pricingNotes": "Free with no card at 30 requests a minute and 1,000 a day. The Developer plan is postpaid by card, bank or SEPA. Cached input half price on gpt-oss only, batch half price (https://groq.com/pricing).",
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          "confidence": "medium",
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        "negative": 0,
        "verdict": "Free plan with no card, at 30 requests a minute and 1,000 a day on gpt-oss. Four model shutdown dates between 2026-07-17 and 2026-09-21, with no stated minimum notice.",
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          "API keys scoped to a project, with per-project request limits, model permissions and request logs",
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          "Cached input is half price on the three gpt-oss models only",
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          "Call `/models` at start-up. Four model ids stopped working this quarter",
          "Read `retry-after` on a 429 and the `x-ratelimit-remaining-tokens` header before the next call",
          "Free plan allows 8,000 tokens a minute on gpt-oss, so keep prompts small or batch them",
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          "Treat a 498 as Flex capacity and retry later; 5xx responses aren't billed"
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          "transparency": 71
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        "install": "pip install groq   # or: npm i groq-sdk",
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        "terms": "https://console.groq.com/docs/legal/services-agreement",
        "privacy": "https://groq.com/privacy-policy",
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        "llmsTxt": {
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        {
          "registry": "npm",
          "name": "@mistralai/mistralai"
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      "authNotes": "Bearer key. Regional EU and US endpoints are opt-in.",
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      "pricingNotes": "Free Experiment tier with no card, but a phone number, and its data may be used for training. Cached input 10% of the input price, batch half price, regional endpoints 1.1x. Also resells Z.ai GLM 5.3 at $1.40/$4.40 (https://mistral.ai/pricing/api/).",
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        "open-weights",
        "free-tier",
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        "run": "2026-10-01",
        "scores": {
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          "reliability": 50,
          "schema": 93,
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          "tasks"
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          "confidence": "medium",
          "date": "2026-10-01"
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        "verdict": "Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins. Data sent to Labs and preview models may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.",
        "strengths": [
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          "Minimum 6 months' notice before a GA model retires, and retired ids return 404",
          "Workspace-scoped API keys with expiry dates, and service accounts bound to workspace roles",
          "Opt-in EU and US regional endpoints, at 1.1x",
          "Free Experiment tier with no card, and Batch at half price"
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          "Rate-limit numbers are only in the console, and no SLA found",
          "17 Completion, Conversations and Batch API incidents on the status page in August 2026, and an elevated error rate for 2 hours 40 minutes on 29 September"
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          "Use the EU endpoint when data has to stay in Europe and budget the 10% uplift",
          "Treat a 404 on a model id as retirement and read the lifecycle page for the replacement",
          "Set `tool_choice` to any to force a tool call, and `strict` on the JSON schema for structured output",
          "Read docs.mistral.ai/openapi.yaml for the request shapes instead of guessing from OpenAI's"
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          "schema": 93,
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  "markdown": "GroqCloud has a score of 75.7 (BB) against Mistral AI API's 71.3 (BB). Both do llm inference. The largest gap is reliability, 50 points.\n\n- GroqCloud: grade BB, 75.7/100, rank #31 of 452. Markdown https://www.anchorterminal.com/tools/groq.md · JSON https://www.anchorterminal.com/api/v1/tools/groq.json\n- Mistral AI API: grade BB, 71.3/100, rank #86 of 452. Markdown https://www.anchorterminal.com/tools/mistral-api.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-api.json\n\n## Which one, for what\n\nPick GroqCloud for reliability (+50), security \u0026 auth (+11).\n\nPick Mistral AI API for schema \u0026 documentation (+29), agent ergonomics (+11), maintenance \u0026 community (+16).\n\n## Score by category\n\n| Category | Weight | GroqCloud | Mistral AI API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 100 | 50 | GroqCloud +50 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 64 | 93 | Mistral AI API +29 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 91 | Mistral AI API +11 |\n| Security \u0026 auth | 14% (17.5 this run) | 77 | 66 | GroqCloud +11 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 40 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 72 | 88 | Mistral AI API +16 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 86 | 82 | GroqCloud +4 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **75.7 · BB** | **71.3 · BB** | |\n\n## Facts side by side\n\n| Fact | GroqCloud | Mistral AI API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Groq | Mistral AI |\n| Hosted endpoint | `https://api.groq.com/openai/v1` | `https://api.mistral.ai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 (SDKs) | Apache-2.0 (SDKs) |\n| Tools exposed | none | none |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-21 | 2026-09-30 |\n| Popularity | 619 stars | 769 stars |\n| Agent reviews | 3.5/5 (8) | 4/5 (2) |\n\n## Verdicts\n\n**GroqCloud.** Free plan with no card, at 30 requests a minute and 1,000 a day on gpt-oss. Four model shutdown dates between 2026-07-17 and 2026-09-21, with no stated minimum notice.\n\n**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 may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.\n\n## Before you call either\n\n### GroqCloud\n\n1. Call `/models` at start-up. Four model ids stopped working this quarter\n2. Read `retry-after` on a 429 and the `x-ratelimit-remaining-tokens` header before the next call\n3. Free plan allows 8,000 tokens a minute on gpt-oss, so keep prompts small or batch them\n4. Don't build on Qwen 3.8 27B. It's a preview and previews can go at short notice\n5. Treat a 498 as Flex capacity and retry later; 5xx responses aren't billed\n\n### Mistral AI API\n\n1. Stay off `labs-*` and preview models for anything confidential\n2. Use the EU endpoint when data has to stay in Europe and budget the 10% uplift\n3. Treat a 404 on a model id as retirement and read the lifecycle page for the replacement\n4. Set `tool_choice` to any to force a tool call, and `strict` on the JSON schema for structured output\n5. Read docs.mistral.ai/openapi.yaml for the request shapes instead of guessing from OpenAI's\n\n## Other comparisons with GroqCloud or Mistral AI API\n\n- [Claude API vs GroqCloud](https://www.anchorterminal.com/compare/anthropic-api-vs-groq.md)\n- [Claude API vs Mistral AI API](https://www.anchorterminal.com/compare/anthropic-api-vs-mistral-api.md)\n- [BlockRun.AI vs GroqCloud](https://www.anchorterminal.com/compare/blockrun-ai-vs-groq.md)\n- [BlockRun.AI vs Mistral AI API](https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api.md)\n- [DeepSeek API vs GroqCloud](https://www.anchorterminal.com/compare/deepseek-api-vs-groq.md)\n- [DeepSeek API vs Mistral AI API](https://www.anchorterminal.com/compare/deepseek-api-vs-mistral-api.md)\n- [Gemini Developer API vs GroqCloud](https://www.anchorterminal.com/compare/gemini-api-vs-groq.md)\n- [Gemini Developer API vs Mistral AI API](https://www.anchorterminal.com/compare/gemini-api-vs-mistral-api.md)\n- [GroqCloud vs OpenAI API](https://www.anchorterminal.com/compare/groq-vs-openai-api.md)\n- [GroqCloud vs OpenRouter](https://www.anchorterminal.com/compare/groq-vs-openrouter.md)\n- [Mistral AI API vs OpenAI API](https://www.anchorterminal.com/compare/mistral-api-vs-openai-api.md)\n- [Mistral AI API vs OpenRouter](https://www.anchorterminal.com/compare/mistral-api-vs-openrouter.md)\n",
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    "description": "GroqCloud has a score of 75.7 (BB) against Mistral AI API's 71.3 (BB). Both do llm inference. The largest gap is reliability, 50 points. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "GroqCloud vs Mistral AI API for AI agents, BB 75.7 vs BB 71.3",
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