Mistral AI Free API Details
Verified on 2026-08-23 00:30 +08:00 (source: OneAPI production DB Channel table direct read) Channel slug: | Detail URL:
1. Channel Overview
Mistral AI is a leading European AI company with 35 chat models and 4 Voxtral audio models in the free tier. The portfolio covers code (Codestral), reasoning (Magistral), efficiency (Ministral), and general chat (Mistral Large/Medium/Small). 60 RPM limit, the highest among free tiers.
2. Verified Supported Models
Scope: models_total = 39 (full Channel.models direct read); chat = 35; audio = 4; embedding = 0; moderation = 0
Chat Models (35)
- codestral-2508
- codestral-latest
- devstral-2512
- devstral-latest
- devstral-medium-latest
- glm-5-2
- labs-leanstral-1-5
- labs-leanstral-1-5-1
- magistral-medium-latest
- magistral-small-latest
- ministral-14b-2512
- ministral-14b-latest
- ministral-3b-2512
- ministral-3b-latest
- ministral-8b-2512
- ministral-8b-latest
- mistral-code-agent-latest
- mistral-code-fim-latest
- mistral-code-latest
- mistral-large-2512
- mistral-large-latest
- mistral-medium
- mistral-medium-2505
- mistral-medium-2508
- mistral-medium-2604
- mistral-medium-3
- mistral-medium-3-5
- mistral-medium-3.5
- mistral-medium-latest
- mistral-small-2603
- mistral-small-latest
- mistral-vibe-cli-fast
- mistral-vibe-cli-latest
- mistral-vibe-cli-with-tools
- zai-glm-5-2
Audio Models (4)
- voxtral-mini-2602
- voxtral-mini-latest
- voxtral-small-2507
- voxtral-small-latest
3. Registration
TBD
4. Usage
Base URL:
TBD
5. Verified Metrics
待 it 基准实测 JSON 到料后填充。每数据点标注「实测于 YYYY-MM-DD HH:MM」。
| Metric | Value | Notes |
|---|---|---|
| HTTP Status | TBD | via /models endpoint |
| Time to First Token | TBD | ms |
| Total Response Time | TBD | ms |
| TPS | TBD | tokens/sec |
| RPM Limit | TBD | 429 threshold (probed) |
| TPM Limit | TBD | 429 threshold (probed) |
| Daily Limit | TBD | 429 threshold (probed) |
6. Pros & Cons
Pros:
- 35 chat models for every use case
- 4 Voxtral audio models
- Highest 60 RPM free tier limit
Cons:
- Many -latest variants can be confusing
- Audio models are specialized
本页由内容维护员于 2026-08-25 生成，数据以 oneapi 权威 JSON 为准。
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