GPT-5.6 Sol vs Llama 3.1 Euryale 70B v2.2
Side-by-side API pricing and Artificial Analysis performance for GPT-5.6 Sol (OpenAI) and Llama 3.1 Euryale 70B v2.2 (Sao10k). Green cells mark the better value in each row.
Prices updated Jul 22, 2026, 1:36 AM UTC · refreshed hourly
| GPT-5.6 Sol OpenAI | Llama 3.1 Euryale 70B v2.2 Sao10k | |
|---|---|---|
| Pricing | ||
| Input $/1M | $5.00 | $0.85 |
| Output $/1M | $30.00 | $0.85 |
| Blended $/1M (3:1) | $11.25 | $0.85 |
| RAG example (30K in / 2K out) | $0.21 | $0.0272 |
| Quality & speed | ||
| Intelligence Index | 58.9 | — |
| Coding Index | 77.4 | — |
| Agentic Index | 54 | — |
| Output speed (tok/s) | 70 | — |
| Time to first token | 112.90s | — |
| Specs | ||
| Context window | 1.05M | 131K |
| Input modalities | file, image, text | text |
FAQ
Which is cheaper, GPT-5.6 Sol or Llama 3.1 Euryale 70B v2.2?
Llama 3.1 Euryale 70B v2.2 has the lower blended API price at $0.85 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), Llama 3.1 Euryale 70B v2.2 costs about $0.0272 per request versus $0.21. Also compare context windows: GPT-5.6 Sol offers 1.05M and Llama 3.1 Euryale 70B v2.2 offers 131K.
Which scores higher on Artificial Analysis benchmarks?
GPT-5.6 Sol leads on the Artificial Analysis Intelligence Index (58.9 vs —). Check coding and agentic indices on this page for workload-specific tradeoffs.