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Mistral · Text model · GA
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Figures checked 1 Nov 2026. A dash means not published on the sources we checked, so it stays blank rather than estimated. AA index and speed are from Artificial Analysis at the high setting.
Mistral names these settings reasoning effort. Price per token is the same at every level. Higher levels usually use more output tokens. mistral.ai (opens in a new tab)
| Level | When to use it, per Mistral | AA index | Tokens/s |
|---|---|---|---|
| low | No per-level advice published | – | – |
| medium | No per-level advice published | 23 artificialanalysis.ai (opens in a new tab) | – |
| high | No per-level advice published | 26 artificialanalysis.ai (opens in a new tab) | 161 artificialanalysis.ai (opens in a new tab) |
Our rule of thumb: Simple or speed-critical work: low. Standard work: the lab's default. Complex work: high. Use xhigh or max only when your own tests show a gain, as OpenAI and Anthropic both advise. developers.openai.com (opens in a new tab)platform.claude.com (opens in a new tab)
Artificial Analysis Intelligence Index at each setting it tested. Levels it has not tested are left out.
| Level | AA index | Tokens/s |
|---|---|---|
| medium | 23 | – |
| high | 26 | 161 |
Highlighted point is Mistral Large 4. Grey points are the other 26 text models with both figures. Index at each model's best tested setting.
| Model | Index | Blended US$/1M |
|---|---|---|
| GPT-6 Astra | 57 | 20.000 |
| GPT-6.1 Sol | 55 | 4.000 |
| GPT-6.1 Terra | 51 | 2.000 |
| GPT-6 Luna | 28 | 0.200 |
| Claude Fable 5.1 | 50 | 20.000 |
| Claude Opus 5.5 | 58 | 8.000 |
| Claude Sonnet 5.5 | 54 | 4.000 |
| Claude Haiku 5.5 | 36 | 0.200 |
| Gemini 4 Carbon | 59 | 4.000 |
| Gemini 4 Argon | 50 | 4.000 |
| Gemini 3.8 Flash | 31 | 1.500 |
| Gemini 3.5 Flash-Lite | 12 | 0.850 |
| Grok 4.7 | 35 | 3.000 |
| Muse Wonder | 43 | 8.000 |
| Mistral Large 4 | 26 | 1.050 |
| Mistral Small 4 | 4 | 0.262 |
| DeepSeek V4.1 Flash 1017 | 32 | 0.525 |
| DeepSeek V4 Pro | 23 | 1.980 |
| Qwen3.8-Max | 34 | 3.000 |
| Kimi K3.1 Pro | 46 | 4.000 |
| GLM-5.3 | 32 | 2.150 |
| GLM-5.3-Flash | 28 | 0.237 |
| MiniMax M3.1 Flash | 29 | 0.262 |
| MiniMax M3 | 19 | 0.525 |
| MiMo-V2.6-Pro | 30 | 0.544 |
| MiMo-V2.6-Flash | 27 | 0.175 |
| Step 5 Preview | 29 | 1.425 |
US$ per 1M tokens, standard tier, short prompts. Output left blank where not published.
| Model | Input US$/1M | Output US$/1M |
|---|---|---|
| Mistral Large 4 | 0.7 | 2.1 |
| Step 5 Preview | 1 | 2.7 |
| Gemini 3.8 Flash | 0.75 | 3.75 |
| DeepSeek V4 Pro | 1.32 | 3.96 |
| MiMo-V2.6-Pro | 0.435 | 0.87 |
| Lab | Mistral |
|---|---|
| Type | Text |
| Status | GA docs.mistral.ai (opens in a new tab) |
| Released | 6 Oct 2026 mistral.ai (opens in a new tab) |
| API access | Yes docs.mistral.ai (opens in a new tab) |
| API model ID | mistral-large-4 docs.mistral.ai (opens in a new tab) |
| API rate limits | – |
| Consumer app plans | – |
| Price at each level | Same per-token price at every level. mistral.ai (opens in a new tab) |
| Input per 1M tokens | US$0.7 docs.mistral.ai (opens in a new tab) |
| Output per 1M tokens | US$2.1 docs.mistral.ai (opens in a new tab) |
| Cached input | US$0.07 docs.mistral.ai (opens in a new tab) |
| Batch in / out | – |
| Other pricing | – |
| Context window | 1.05M tokens models.dev (opens in a new tab) |
| Max output | 262K tokens models.dev (opens in a new tab) |
| Input types | text, image, pdf models.dev (opens in a new tab) |
| Output types | text |
| Weights | Open mistral.ai (opens in a new tab)Mistral Ecosystem Open-Weight licence (modified MIT) |
| Reasoning | Yes mistral.ai (opens in a new tab)Low, medium, high |
| Tool use | Yes models.dev (opens in a new tab) |
| Artificial Analysis index | 26 (high) artificialanalysis.ai (opens in a new tab) |
| Output speed | 161 tokens/s artificialanalysis.ai (opens in a new tab) |
| Time to first token | 1.42 s artificialanalysis.ai (opens in a new tab) |
| Reasoning levels | low, medium, high mistral.ai (opens in a new tab) |
| Lab benchmark claims |
|
| Limitations |
|
Mistral: Connectors: register MCP servers for use in conversations and Agents docs.mistral.ai (opens in a new tab). These official remote MCP servers fit that rule. We have not tested each server with this model. A server that publishes a client list is left out when this lab is not on it.
Same type, closest on quality index and blended price. A similarity, not a ranking.
Compare Mistral Large 4 with Step 5 Preview and Gemini 3.8 Flash
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Mistral 
Four Voxtral 3 models cover transcription in 50+ languages and text to speech, with a managed voice agent pipeline. Mistral offers EU, US and global hosted endpoints or self-hosting, so audio can stay on your own infrastructure. Transcription starts at $0.0035 per minute.
Source: Mistral (opens in a new tab)
Mistral
Mistral previewed Large 4 on 6 October and has since released the weights. It is a mixture-of-experts model with 52 billion active parameters and a 1M-token context, priced at $0.70 in and $2.10 out per 1M tokens. It is also on Microsoft Foundry and NVIDIA-hosted endpoints.
Source: Mistral (opens in a new tab)
