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| Attribute | |
|---|---|
| Company | |
| Release Date | 2026-04-02 |
| Parameters (B) | 25.2 |
| Architecture | Mixture-of-Experts (MoE) Transformer |
| Context Window | 256000 |
| Input Modalities | text, image |
| Open Source | Yes |
| License | apache-2.0 |
| Score | 8.4 |
| VRAM (GB) | 57.7 |
| Compute | BF16 inference requires ~58 GB VRAM (e.g., A100 80GB); 8-bit quantization ~29 GB (RTX 4090/A6000); Q4_0 quantization ~14.4 GB on consumer GPUs. MoE architecture loads all 25.2B parameters but activates only 3.8B per token. |
| Benchmark: GSM8K | 68 |
| Benchmark: HumanEval | 76.8 |
| Benchmark: MMLU | 82.6 |
| Pricing (Input) | — |
| Pricing (Output) | — |