R1 Distill Llama 70B vs GPT-5.6 Sol
Side-by-side API pricing and Artificial Analysis performance for R1 Distill Llama 70B (DeepSeek) and GPT-5.6 Sol (OpenAI). Green cells mark the better value in each row.
Prices updated Jul 22, 2026, 3:54 AM UTC · refreshed hourly
| 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 |
| RAG example (30K in / 2K out) | $0.0256 | $0.21 |
| Quality & speed | ||
| Intelligence Index | 9.9 | 58.9 |
| Coding Index | — | 77.4 |
| Agentic Index | — | 54 |
| Output speed (tok/s) | 34 | 70 |
| Time to first token | 0.59s | 112.90s |
| Specs | ||
| Context window | 8K | 1.05M |
| Input modalities | text | file, image, text |
FAQ
Which is cheaper, R1 Distill Llama 70B or GPT-5.6 Sol?
R1 Distill Llama 70B has the lower blended API price at $0.80 per 1M tokens (3:1 input:output mix), versus $11.25 for the other model. Prices are live from OpenRouter and refresh about hourly.
Which is better for RAG workloads?
For a typical RAG request (30K input / 2K output tokens), R1 Distill Llama 70B costs about $0.0256 per request versus $0.21. Also compare context windows: R1 Distill Llama 70B offers 8K and GPT-5.6 Sol offers 1.05M.
Which scores higher on Artificial Analysis benchmarks?
GPT-5.6 Sol leads on the Artificial Analysis Intelligence Index (58.9 vs 9.9). Check coding and agentic indices on this page for workload-specific tradeoffs.