Gemini 3.1 Pro vs GPT-5.5 Pro
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
Gemini 3.1 Pro
Google · Mar 2026
Google's flagship with the industry's largest context window — 2M tokens — and frontier multimodal reasoning at $2/$12.
GPT-5.5 Pro
OpenAI · Apr 2026
The maximum-compute tier of GPT-5.5 for the hardest research, math and engineering problems, at a steep per-token premium.
The verdict
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. On price the gap is dramatic: Gemini 3.1 Pro works out roughly 15x cheaper per blended million tokens. Gemini 3.1 Pro also takes 2M of context versus 1M for GPT-5.5 Pro.
Specs & pricing
| Gemini 3.1 Pro | GPT-5.5 Pro | |
|---|---|---|
| modhub Index | — | — |
| Input price / 1M | $2 | $30 |
| Output price / 1M | $12 | $180 |
| Context window | 2M | 1M |
| Max output | 66K | 128K |
| Open weights | no | no |
| Reasoning model | yes | yes |
| Multimodal input | text, image, audio, video | text, image |
| Knowledge cutoff | Nov 2025 | Jan 2026 |
| Released | Mar 2026 | Apr 2026 |
| Example monthly cost* | $38.00 | $570.00 |
* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.
Frequently asked questions
- Which is better, Gemini 3.1 Pro or GPT-5.5 Pro?
- These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. On price the gap is dramatic: Gemini 3.1 Pro works out roughly 15x cheaper per blended million tokens. Gemini 3.1 Pro also takes 2M of context versus 1M for GPT-5.5 Pro.
- Which is cheaper, Gemini 3.1 Pro or GPT-5.5 Pro?
- Gemini 3.1 Pro costs $2/$12 per million input/output tokens, while GPT-5.5 Pro costs $30/$180. For a typical workload of 10M input and 1.5M output tokens per month, that's $38.00 versus $570.00.
- Which model is better for coding, Gemini 3.1 Pro or GPT-5.5 Pro?
- We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.