Compare models
Pick up to 4 models for a side-by-side spec sheet. Hover any dotted metric name for what the test measures. Best value in each row is highlighted.
Codestral 2508 (batch)GPT-5.6 Sol
| Codestral 2508 (batch) Mistral | GPT-5.6 Sol OpenAI | |
|---|---|---|
| Pricing | ||
| Input $/1M | $0.15 | $2.00 |
| Output $/1M | $0.45 | $10.00 |
| Blended $/1M (3:1) | $0.225 | $4.00 |
| Cache read $/1M | $0.015 | $0.20 |
| Cache write $/1M | — | $2.50 |
| Quality indices | ||
| Intelligence Index | — | 47 |
| Coding Index | — | 77.4 |
| Math Index | — | — |
| Agentic Index | — | 50.2 |
| Speed & latency | ||
| Output speed (tok/s) | — | 65 |
| Time to first token | — | 64.46s |
| Time to first answer token | — | 64.46s |
| Benchmarks (Artificial Analysis) | ||
| GPQA Diamond | — | 94.1% |
| Humanity's Last Exam | — | 49.5% |
| SciCode | — | 57.1% |
| IFBench | — | 72.7% |
| AA-LCR (Long Context Reasoning) | — | 84.0% |
| Terminal-Bench Hard | — | 65.9% |
| Terminal-Bench 2.1 | — | 88.0% |
| τ²-Bench (Telecom) | — | 85.1% |
| τ³-Bench Banking | — | 44.3% |
| Design Arena (Elo) | ||
| Website | 1,025 | — |
| UI components | 1,032 | — |
| Data viz | 1,032 | — |
| 3D | 1,048 | — |
| Game dev | 991 | — |
| Code categories | 1,022 | — |
| Specs | ||
| Context window | 256K | 1.05M |
| Max output tokens | 205K | 128K |
| Input modalities | text, file | file, image, text |
| Tokenizer | Mistral | GPT |