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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.
R1 Distill Llama 70BGPT-5.6 Sol
| R1 Distill Llama 70B DeepSeek | GPT-5.6 Sol OpenAI | |
|---|---|---|
| Pricing | ||
| Input $/1M | $0.80 | $5.00 |
| Output $/1M | $0.80 | $30.00 |
| Blended $/1M (3:1) | $0.80 | $11.25 |
| Cache read $/1M | — | $0.50 |
| Cache write $/1M | — | $6.25 |
| Quality indices | ||
| Intelligence Index | 9.9 | 58.9 |
| Coding Index | — | 77.4 |
| Math Index | 53.7 | — |
| Agentic Index | — | 54 |
| Speed & latency | ||
| Output speed (tok/s) | 32 | 67 |
| Time to first token | 0.61s | 120.38s |
| Time to first answer token | 62.16s | 120.38s |
| Benchmarks (Artificial Analysis) | ||
| MMLU-Pro | 79.5% | — |
| GPQA Diamond | 40.2% | 94.1% |
| Humanity's Last Exam | 6.1% | 47.2% |
| LiveCodeBench | 26.6% | — |
| SciCode | 31.3% | 56.1% |
| MATH-500 | 93.5% | — |
| AIME | 67.0% | — |
| AIME 2025 | 53.7% | — |
| IFBench | 27.6% | 72.7% |
| AA-LCR (Long Context Reasoning) | 11.0% | 73.7% |
| Terminal-Bench Hard | 1.5% | 65.9% |
| Terminal-Bench 2.1 | — | 88.0% |
| τ²-Bench (Telecom) | 21.9% | 85.1% |
| τ³-Bench Banking | — | 33.0% |
| Specs | ||
| Context window | 8K | 1.05M |
| Max output tokens | 8K | 128K |
| Input modalities | text | file, image, text |
| Tokenizer | Llama3 | GPT |