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 5GPT-5 (batch)
| Claude Sonnet 5 Anthropic | GPT-5 (batch) OpenAI | |
|---|---|---|
| Pricing | ||
| Input $/1M | $2.00 | $0.625 |
| Output $/1M | $10.00 | $5.00 |
| Blended $/1M (3:1) | $4.00 | $1.72 |
| Cache read $/1M | $0.20 | $0.063 |
| Cache write $/1M | $2.50 | — |
| Quality indices | ||
| Intelligence Index | 38.2 | 23 |
| Coding Index | 71.5 | 37.8 |
| Math Index | — | 94.3 |
| Agentic Index | 43.6 | — |
| Speed & latency | ||
| Output speed (tok/s) | 82 | 0 |
| Time to first token | 118.14s | 0s |
| Time to first answer token | 118.14s | 0s |
| Benchmarks (Artificial Analysis) | ||
| MMLU-Pro | — | 87.1% |
| GPQA Diamond | 91.1% | 85.4% |
| Humanity's Last Exam | 41.3% | 28.5% |
| LiveCodeBench | — | 84.6% |
| SciCode | 54.3% | — |
| MATH-500 | — | 99.4% |
| AIME | — | 95.7% |
| AIME 2025 | — | 94.3% |
| IFBench | — | 73.1% |
| AA-LCR (Long Context Reasoning) | 82.0% | 78.2% |
| Terminal-Bench Hard | — | 32.6% |
| Terminal-Bench 2.1 | 80.5% | 35.2% |
| τ²-Bench (Telecom) | — | 84.8% |
| τ³-Bench Banking | 37.3% | 22.1% |
| Design Arena (Elo) | ||
| Website | 1,288 | 1,197 |
| Web apps | 1,260 | — |
| Full-stack | 1,260 | — |
| Mobile apps | 1,249 | — |
| Android native | 1,240 | — |
| UI components | 1,299 | 1,195 |
| Data viz | 1,260 | 1,236 |
| SVG | 1,212 | 1,212 |
| 3D | 1,289 | 1,084 |
| Game dev | 1,313 | 1,209 |
| Agentic game dev | 1,227 | — |
| Godot game dev | 1,238 | — |
| HTML slides | 1,220 | — |
| Python→PPTX slides | 1,216 | — |
| Code categories | 1,293 | 1,183 |
| ASCII art | 1,226 | 1,159 |
| Specs | ||
| Context window | 1M | 400K |
| Max output tokens | 128K | 128K |
| Input modalities | text, image, file | text, image, file |
| Tokenizer | Claude | GPT |