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.
Claude Opus 4.6DeepSeek V3
| Claude Opus 4.6 Anthropic | DeepSeek V3 DeepSeek | |
|---|---|---|
| Pricing | ||
| Input $/1M | $5.00 | $0.32 |
| Output $/1M | $25.00 | $0.89 |
| Blended $/1M (3:1) | $10.00 | $0.462 |
| Cache read $/1M | $0.50 | — |
| Cache write $/1M | $6.25 | — |
| Quality indices | ||
| Intelligence Index | 26.4 | 8.5 |
| Coding Index | — | 23 |
| Math Index | — | 26 |
| Agentic Index | — | — |
| Speed & latency | ||
| Output speed (tok/s) | 0 | 0 |
| Time to first token | 0s | 0s |
| Time to first answer token | 0s | 0s |
| Benchmarks (Artificial Analysis) | ||
| MMLU-Pro | — | 75.2% |
| GPQA Diamond | 84.0% | 55.7% |
| Humanity's Last Exam | 19.1% | 2.9% |
| LiveCodeBench | — | 35.9% |
| SciCode | — | 35.8% |
| MATH-500 | — | 88.7% |
| AIME | — | 25.3% |
| AIME 2025 | — | 26.0% |
| IFBench | 44.6% | 34.8% |
| AA-LCR (Long Context Reasoning) | 67.0% | 29.3% |
| Terminal-Bench Hard | 48.5% | 6.8% |
| Terminal-Bench 2.1 | — | 16.9% |
| τ²-Bench (Telecom) | 84.8% | 22.8% |
| τ³-Bench Banking | — | 4.7% |
| Design Arena (Elo) | ||
| Website | 1,303 | 1,132 |
| Web apps | 1,219 | — |
| Full-stack | 1,229 | — |
| Mobile apps | 1,238 | — |
| Android native | 1,216 | — |
| UI components | 1,300 | 1,109 |
| Data viz | 1,296 | 1,103 |
| SVG | 1,251 | 1,000 |
| 3D | 1,303 | 1,115 |
| Game dev | 1,301 | 1,077 |
| Agentic game dev | 1,215 | — |
| Code categories | 1,304 | 1,123 |
| ASCII art | 1,273 | — |
| Specs | ||
| Context window | 1M | 164K |
| Max output tokens | 128K | 16K |
| Input modalities | text, image, file | text |
| Tokenizer | Claude | DeepSeek |