AI model matchup
GPT-5.5 vs Gemini 3.1 Pro
A side-by-side look at published capability scores, listed API pricing, speed, context, and license - to help you decide which trade-offs fit your work.
GPT-5.5vsGemini 3.1 Pro
Gemini 3.1 Pro leads the RankLLMs Index by 0.2 points (52.4 vs 52.2). Verified API Pricing: $5.00 (GPT-5.5) vs $1.25 (Gemini 3.1 Pro) per 1M tokens.
Capability profile
Speed duel
tpsPrice duel
$/1MShorter bar = cheaper. Blended per 1M tokens.
| Metric | GPT-5.5 | Gemini 3.1 Pro |
|---|---|---|
| RankLLMs Overall Score | 52.2 pts | 52.4 pts ▲ |
| Reasoning | 56.4 | 58.6 ▲ |
| Coding | 75.6 ▲ | 74.2 |
| Agentic Tool Use | 78.7 ▲ | 48.8 |
| Code Arena Elo | 1769 ▲ | 1314 |
| Inference Speed | 33 tps | 151 tps ▲ |
| API Price (per 1M tokens) | $5.00 | $1.25 ▲ |
| Context Window | 1.1M | 1M |
| License | Proprietary | Proprietary |
| Global Rank | #31 | #28 ▲ |
Decision notes
What the numbers suggest
Gemini 3.1 Pro leads the RankLLMs overall score by 0.2 points. Gemini 3.1 Pro has the lower listed API rate ($1.25 per 1M tokens).
Treat the overall index as a starting point, then prioritize the benchmark that resembles your task. Published scores and provider pricing can change; this comparison does not represent a first-party test of either model.
- Overall index
- Gemini 3.1 Pro leads
- 52.2 to 52.4 pts
- Coding score
- GPT-5.5 leads
- 75.6 to 74.2 pts
- Reasoning score
- Gemini 3.1 Pro leads
- 56.4 to 58.6 pts
- Agentic score
- GPT-5.5 leads
- 78.7 to 48.8 pts
Choose by workload
Which profile fits your use?
OpenAI
Consider GPT-5.5 when
your workload gives more weight to the higher listed coding score. Compare those signals with your own task mix, latency needs, and budget.
View GPT-5.5 profileConsider Gemini 3.1 Pro when
your workload gives more weight to the higher listed reasoning score, the higher overall index score, the lower listed API rate. Compare those signals with your own task mix, latency needs, and budget.
View Gemini 3.1 Pro profile