Gemini 3.1 Pro Preview (batch) vs GPT-5.6 Sol
Side-by-side API pricing and Artificial Analysis performance for Gemini 3.1 Pro Preview (batch) (Google) and GPT-5.6 Sol (OpenAI). Green cells mark the better value in each row.
Prices updated Sep 18, 2026, 7:29 AM UTC · refreshed hourly
| Gemini 3.1 Pro Preview (batch) | GPT-5.6 Sol OpenAI | |
|---|---|---|
| Pricing | ||
| Input $/1M | $1.00 | $2.00 |
| Output $/1M | $6.00 | $10.00 |
| Blended $/1M (3:1) | $2.25 | $4.00 |
| RAG example (30K in / 2K out) | $0.042 | $0.08 |
| Quality & speed | ||
| Intelligence Index | 30.4 | 47.1 |
| Coding Index | 68.8 | 77.4 |
| Agentic Index | 10.3 | 50.5 |
| Output speed (tok/s) | 134 | 74 |
| Time to first token | 23.73s | 71.18s |
| Specs | ||
| Context window | 1.05M | 1.05M |
| Input modalities | audio, file, image, text, video | file, image, text |
FAQ
Which is cheaper, Gemini 3.1 Pro Preview (batch) or GPT-5.6 Sol?
Gemini 3.1 Pro Preview (batch) has the lower blended API price at $2.25 per 1M tokens (3:1 input:output mix), versus $4.00 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), Gemini 3.1 Pro Preview (batch) costs about $0.042 per request versus $0.08. Also compare context windows: Gemini 3.1 Pro Preview (batch) offers 1.05M 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 (47.1 vs 30.4). Check coding and agentic indices on this page for workload-specific tradeoffs.