DeepSeek V4.1 Flash vs 
Mistral Large 4
Both are SOTA right now. Each row below is one board’s call on the two, and the marked figure is the one that board places higher. No row is added to another, so there is no overall winner: the boards measure different things, and where they split, that is the finding.
| Board | DeepSeek V4.1 Flash | Mistral Large 4 |
|---|---|---|
| Artificial Analysis LLM Leaderboard Artificial Analysis Intelligence Index | 39.5 No. 28 of 374 | 38.4 No. 31 of 374 |
| Arena — Agent Overall | 0.040 No. 17 of 49 | — |
| Arena — Code Overall | 1620 No. 22 of 109 | — |
| Arena — Text Overall (style control) | 1474 No. 38 of 306 | — |
Each rank is the board’s own: the rank it publishes, or its place in its own order where it publishes none. The bar is how much of that board the model is ahead of. Scores from different boards cannot be compared.
At a glance
| Developer | DeepSeek | Mistral |
|---|---|---|
| Weights | open | closed |
| Released | — | — |
| Price Blended Price, USD per 1M tokens (3:1 input:output) | $0.52 | $2.06 |
| Value: where it sits on the kill line | SOTA | SOTA |
DeepSeek V4.1 Flash →Mistral Large 4 → How the kill line is drawn →
DeepSeek V4.1 Flash against the other SOTA models
- Qwen 3.8 Flash Next
- Qwen 3.8 Max
- Claude Fable 5
- Claude Fable 5.1
- Claude Opus 5.5
- Claude Sonnet 5.5
- Gemini 3.8 Flash
- Gemini 4 Argon
- Ling 3.1 Flash
- Kimi K3
- Muse Spark 1.3
- GPT 5.6 Terra
- GPT 6.1 Sol
- GPT 6 Astra
- GPT 6 Luna
- Step 5
- Grok 4.7
- MiMo V2.6 Flash
- MiMo V2.6 Pro
- GLM 5.3
- GLM 5.3 Flash