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.
DeepSeek V3GPT-5.6 Sol
| DeepSeek V3 DeepSeek | GPT-5.6 Sol OpenAI | |
|---|---|---|
| Pricing | ||
| Input $/1M | $0.20 | $5.00 |
| Output $/1M | $0.80 | $30.00 |
| Blended $/1M (3:1) | $0.35 | $11.25 |
| Cache read $/1M | — | $0.50 |
| Cache write $/1M | — | $6.25 |
| Quality indices | ||
| Intelligence Index | 14.2 | 58.9 |
| Coding Index | 23 | 77.4 |
| Math Index | 26 | — |
| Agentic Index | — | 54 |
| Speed & latency | ||
| Output speed (tok/s) | 0 | 70 |
| Time to first token | 0s | 112.90s |
| Time to first answer token | 0s | 112.90s |
| Benchmarks (Artificial Analysis) | ||
| MMLU-Pro | 75.2% | — |
| GPQA Diamond | 55.7% | 94.1% |
| Humanity's Last Exam | 3.6% | 47.2% |
| LiveCodeBench | 35.9% | — |
| SciCode | 35.4% | 56.1% |
| MATH-500 | 88.7% | — |
| AIME | 25.3% | — |
| AIME 2025 | 26.0% | — |
| IFBench | 34.8% | 72.7% |
| AA-LCR (Long Context Reasoning) | 29.0% | 73.7% |
| Terminal-Bench Hard | 6.8% | 65.9% |
| Terminal-Bench 2.1 | 16.9% | 88.0% |
| τ²-Bench (Telecom) | 22.8% | 85.1% |
| τ³-Bench Banking | 4.7% | 33.0% |
| Design Arena (Elo) | ||
| Website | 1,147 | — |
| UI components | 1,136 | — |
| Data viz | 1,135 | — |
| SVG | 1,023 | — |
| 3D | 1,146 | — |
| Game dev | 1,112 | — |
| Code categories | 1,142 | — |
| Specs | ||
| Context window | 164K | 1.05M |
| Max output tokens | 16K | 128K |
| Input modalities | text | file, image, text |
| Tokenizer | DeepSeek | GPT |