Gemini 3.6 Flash vs gpt-oss-120b
Side-by-side API pricing and Artificial Analysis performance for Gemini 3.6 Flash (Google) and gpt-oss-120b (OpenAI). Green cells mark the better value in each row.
Prices updated Jul 22, 2026, 1:40 AM UTC · refreshed hourly
| Gemini 3.6 Flash | gpt-oss-120b OpenAI | |
|---|---|---|
| Pricing | ||
| Input $/1M | $1.50 | $0.037 |
| Output $/1M | $7.50 | $0.17 |
| Blended $/1M (3:1) | $3.00 | $0.07 |
| RAG example (30K in / 2K out) | $0.06 | $0.00145 |
| Quality & speed | ||
| Intelligence Index | 50.1 | 23.8 |
| Coding Index | 69.2 | 30.4 |
| Agentic Index | 38.7 | 13.2 |
| Output speed (tok/s) | 301 | 292 |
| Time to first token | 11.80s | 0.50s |
| Specs | ||
| Context window | 1.05M | 131K |
| Input modalities | text, image, video, file, audio | text |
FAQ
Which is cheaper, Gemini 3.6 Flash or gpt-oss-120b?
gpt-oss-120b has the lower blended API price at $0.07 per 1M tokens (3:1 input:output mix), versus $3.00 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), gpt-oss-120b costs about $0.00145 per request versus $0.06. Also compare context windows: Gemini 3.6 Flash offers 1.05M and gpt-oss-120b offers 131K.
Which scores higher on Artificial Analysis benchmarks?
Gemini 3.6 Flash leads on the Artificial Analysis Intelligence Index (50.1 vs 23.8). Check coding and agentic indices on this page for workload-specific tradeoffs.