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 Sonnet 5DeepSeek V3 0324
| Claude Sonnet 5 Anthropic | DeepSeek V3 0324 DeepSeek | |
|---|---|---|
| Pricing | ||
| Input $/1M | $2.00 | $0.27 |
| Output $/1M | $10.00 | $1.12 |
| Blended $/1M (3:1) | $4.00 | $0.483 |
| Cache read $/1M | $0.20 | $0.135 |
| Cache write $/1M | $2.50 | — |
| Quality indices | ||
| Intelligence Index | 53.4 | 15.4 |
| Coding Index | 71.5 | 21.2 |
| Math Index | — | 41 |
| Agentic Index | 46.7 | 1.5 |
| Speed & latency | ||
| Output speed (tok/s) | 86 | 0 |
| Time to first token | 93.73s | 0s |
| Time to first answer token | 93.73s | 0s |
| Benchmarks (Artificial Analysis) | ||
| MMLU-Pro | — | 81.9% |
| GPQA Diamond | 91.1% | 65.5% |
| Humanity's Last Exam | 39.6% | 5.2% |
| LiveCodeBench | — | 40.5% |
| SciCode | 53.6% | 35.8% |
| MATH-500 | — | 94.2% |
| AIME | — | 52.0% |
| AIME 2025 | — | 41.0% |
| IFBench | — | 41.0% |
| AA-LCR (Long Context Reasoning) | 70.7% | 41.0% |
| Terminal-Bench Hard | — | 15.2% |
| Terminal-Bench 2.1 | 80.5% | 13.9% |
| τ²-Bench (Telecom) | — | 47.1% |
| τ³-Bench Banking | 28.2% | 4.5% |
| Design Arena (Elo) | ||
| Website | 1,314 | — |
| Web apps | 1,305 | — |
| Full-stack | 1,292 | — |
| Android native | 1,255 | — |
| UI components | 1,317 | — |
| Data viz | 1,281 | — |
| SVG | 1,239 | — |
| 3D | 1,321 | — |
| Game dev | 1,345 | — |
| Agentic game dev | 1,241 | — |
| Godot game dev | 1,257 | — |
| HTML slides | 1,233 | — |
| Python→PPTX slides | 1,252 | — |
| Code categories | 1,312 | — |
| ASCII art | 1,230 | — |
| Specs | ||
| Context window | 1M | 164K |
| Max output tokens | 128K | 66K |
| Input modalities | text, image, file | text |
| Tokenizer | Claude | DeepSeek |