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| Attribute |
prism-ml
|
|---|---|
| Company | prism-ml |
| Release Date | 2026-09-17 |
| Parameters (B) | 27.4 |
| Architecture | Hybrid-attention Transformer |
| Context Window | 262144 |
| Input Modalities | text, image |
| Open Source | No |
| License | |
| Score | 0 |
| VRAM (GB) | 8 |
| Compute | Single GPU with 8GB+ VRAM (e.g. NVIDIA RTX 4090) or Apple Silicon via MLX |
| Benchmark: AIME-2025 | 95 |
| Benchmark: AIME-2026 | 95.8 |
| Benchmark: GPQA-Diamond | 85.8 |
| Benchmark: GSM8K | 96.7 |
| Benchmark: HumanEval | 95.1 |
| Benchmark: IFEval | 91.3 |
| Benchmark: LiveCodeBench | 90.1 |
| Benchmark: MATH-500 | 98.8 |
| Benchmark: MBPP | 83.1 |
| Benchmark: MMMU-Pro | 75.5 |
| Benchmark: SWE-Bench-Verified | 60.8 |
| Benchmark: Terminal-Bench-2.1 | 52.8 |
| Pricing (Input) | 0.07 |
| Pricing (Output) | 0.50 |