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.
R1GPT-5.6 Sol
| R1 DeepSeek | GPT-5.6 Sol OpenAI | |
|---|---|---|
| Pricing | ||
| Input $/1M | $0.70 | $5.00 |
| Output $/1M | $2.50 | $30.00 |
| Blended $/1M (3:1) | $1.15 | $11.25 |
| Cache read $/1M | — | $0.50 |
| Cache write $/1M | — | $6.25 |
| Quality indices | ||
| Intelligence Index | 20.1 | 58.9 |
| Coding Index | 24.6 | 77.4 |
| Math Index | 76 | — |
| Agentic Index | 3.1 | 54 |
| Speed & latency | ||
| Output speed (tok/s) | 0 | 67 |
| Time to first token | 0s | 120.38s |
| Time to first answer token | 0s | 120.38s |
| Benchmarks (Artificial Analysis) | ||
| MMLU-Pro | 84.9% | — |
| GPQA Diamond | 81.3% | 94.1% |
| Humanity's Last Exam | 14.9% | 47.2% |
| LiveCodeBench | 77.0% | — |
| SciCode | 40.3% | 56.1% |
| MATH-500 | 98.3% | — |
| AIME | 89.3% | — |
| AIME 2025 | 76.0% | — |
| IFBench | 39.6% | 72.7% |
| AA-LCR (Long Context Reasoning) | 54.7% | 73.7% |
| Terminal-Bench Hard | 15.9% | 65.9% |
| Terminal-Bench 2.1 | — | 88.0% |
| τ²-Bench (Telecom) | 36.5% | 85.1% |
| τ³-Bench Banking | — | 33.0% |
| Specs | ||
| Context window | 164K | 1.05M |
| Max output tokens | 16K | 128K |
| Input modalities | text | file, image, text |
| Tokenizer | DeepSeek | GPT |