specs at a glance
| Leaderboard rank | #6 of 10 |
|---|---|
| SWE-bench Verified | 80.6% |
| SWE-bench Pro | 54.2% |
| Terminal-Bench | — |
| Input price / 1M | $2 |
| Output price / 1M | $12 |
| Context window | — |
| Open weights | No |
| Access | API · Gemini app · AI Studio |
| Maker | Google DeepMind |
how good is Gemini 3.1 Pro at coding?
Gemini 3.1 Pro sits at #6 of 10 ranked models, posting 80.6% on SWE-bench Verified — 14.4 points behind #1 Claude Fable 5. On the harder SWE-bench Pro it scores 54.2%.
Score provenance: DeepMind-reported pass rate; ties DeepSeek V4 on Verified, trails it on Pro. Price: Google list $2/$12 per 1M for context up to 200K (doubles above 200K).
what does Gemini 3.1 Pro cost?
$2 per 1M input tokens and $12 per 1M output — #7 cheapest of the 10 models we track. Coding workloads are output-heavy, so weight the output rate when budgeting. Run your own volume through the AI API cost calculator for a monthly estimate.
where can you use it?
Available via API · Gemini app · AI Studio. As a proprietary model, you're on the maker's infrastructure and release schedule.
- Google DeepMindGoogle DeepMind — Gemini Pro
Ranked on our AI Coding Leaderboard — scores confirmed against primary sources only, updated 2026-07-04.