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 Llama 4 ScoutMeta |  DeepSeek-V3.1DeepSeek | DeepSeek-V4-Pro DeepSeek |  Mistral Large 2Mistral | |
|---|---|---|---|---|
| Vendor | Meta | DeepSeek | DeepSeek | Mistral |
| Family | Llama | DeepSeek | DeepSeek | Mistral |
| Release date | 2025-04-05 | 2025-08-21 | 2026-04-22 | 2024-07-24 |
| Context window | 10,000,000 tokens | 128,000 tokens | 1,000,000 tokens | 128,000 tokens |
| Parameters | 109B | 671B | 1.6T (49B active) | 123B |
| Modality | text, vision | text | text | text |
| License | Llama 4 Community License | MIT | MIT | Mistral Research License |
| Source | open weights | open weights | open weights | open weights |
| Description | — | Large MoE open-weight model. Predecessor to DeepSeek-V4. | DeepSeek's flagship open-weight MoE. 1.6T parameters with 49B activated, 1M-token context, and a hybrid attention scheme (CSA + HCA) that delivers long-context inference at ~27% of V3.2's FLOPs. | Large text-only Mistral model with a 128K context window and 123B parameters, tuned for strong instruction following and long-context reasoning. Mistral's flagship open-weights release in the Large 2 line. |
| Links | ||||
| Benchmarks | ||||
| MMLU-Pro | — | — | 84.2% | — |
| GPQA-D | — | — | 82.4% | — |
| HumanEval | — | — | 95.1% | 89.0% |
| Aider | — | — | 80.1% | — |
| AIME-25 | — | — | 88.6% | — |
| LiveCB | — | — | 72.4% | — |
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