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 4.7 (Fast)GPT-5.6 Terra
| Claude Opus 4.7 (Fast) Anthropic | GPT-5.6 Terra OpenAI | |
|---|---|---|
| Pricing | ||
| Input $/1M | $30.00 | $2.50 |
| Output $/1M | $150.00 | $15.00 |
| Blended $/1M (3:1) | $60.00 | $5.63 |
| Cache read $/1M | $3.00 | $0.25 |
| Cache write $/1M | $37.50 | $3.13 |
| Quality indices | ||
| Intelligence Index | — | 55 |
| Coding Index | — | 76.7 |
| Math Index | — | — |
| Agentic Index | — | 47.4 |
| Speed & latency | ||
| Output speed (tok/s) | — | 149 |
| Time to first token | — | 104.73s |
| Time to first answer token | — | 104.73s |
| Benchmarks (Artificial Analysis) | ||
| GPQA Diamond | — | 92.5% |
| Humanity's Last Exam | — | 41.8% |
| SciCode | — | 53.9% |
| IFBench | — | 71.2% |
| AA-LCR (Long Context Reasoning) | — | 74.0% |
| Terminal-Bench Hard | — | 57.6% |
| Terminal-Bench 2.1 | — | 88.0% |
| τ²-Bench (Telecom) | — | 86.3% |
| τ³-Bench Banking | — | 31.8% |
| Specs | ||
| Context window | 1M | 1.05M |
| Max output tokens | 128K | 128K |
| Input modalities | text, image, file | file, image, text |
| Tokenizer | Claude | GPT |