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.
Llama 3.2 1B InstructGPT-5.6 Sol
| Llama 3.2 1B Instruct Meta | GPT-5.6 Sol OpenAI | |
|---|---|---|
| Pricing | ||
| Input $/1M | $0.027 | $5.00 |
| Output $/1M | $0.201 | $30.00 |
| Blended $/1M (3:1) | $0.071 | $11.25 |
| Cache read $/1M | — | $0.50 |
| Cache write $/1M | — | $6.25 |
| Quality indices | ||
| Intelligence Index | — | 58.9 |
| Coding Index | — | 77.4 |
| Math Index | — | — |
| Agentic Index | — | 54 |
| Speed & latency | ||
| Output speed (tok/s) | — | 67 |
| Time to first token | — | 120.38s |
| Time to first answer token | — | 120.38s |
| Benchmarks (Artificial Analysis) | ||
| GPQA Diamond | — | 94.1% |
| Humanity's Last Exam | — | 47.2% |
| SciCode | — | 56.1% |
| IFBench | — | 72.7% |
| AA-LCR (Long Context Reasoning) | — | 73.7% |
| Terminal-Bench Hard | — | 65.9% |
| Terminal-Bench 2.1 | — | 88.0% |
| τ²-Bench (Telecom) | — | 85.1% |
| τ³-Bench Banking | — | 33.0% |
| Specs | ||
| Context window | 60K | 1.05M |
| Max output tokens | 60K | 128K |
| Input modalities | text | file, image, text |
| Tokenizer | Llama3 | GPT |