AI model matchup
Kimi K2.6 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.
Kimi K2.6vsGemini 3.1 Pro
Gemini 3.1 Pro leads the RankLLMs Index by 0.2 points (52.4 vs 52.2). Verified API Pricing: $0.95 (Kimi K2.6) vs $1.25 (Gemini 3.1 Pro) per 1M tokens.
Capability profile
Speed duel
tpsPrice duel
$/1MShorter bar = cheaper. Blended per 1M tokens.
| Metric | Kimi K2.6 | Gemini 3.1 Pro |
|---|---|---|
| RankLLMs Overall Score | 52.2 pts | 52.4 pts ▲ |
| Reasoning | 54.0 | 58.6 ▲ |
| Coding | 73.2 | 74.2 ▲ |
| Agentic Tool Use | 50.0 ▲ | 48.8 |
| Code Arena Elo | 1482 ▲ | 1314 |
| Inference Speed | 165 tps ▲ | 151 tps |
| API Price (per 1M tokens) | $0.95 ▲ | $1.25 |
| Context Window | 262K | 1M |
| License | Open Source | Proprietary |
| Global Rank | #30 | #28 ▲ |
Decision notes
What the numbers suggest
Gemini 3.1 Pro leads the RankLLMs overall score by 0.2 points. Kimi K2.6 has the lower listed API rate ($0.95 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
- Gemini 3.1 Pro leads
- 73.2 to 74.2 pts
- Reasoning score
- Gemini 3.1 Pro leads
- 54.0 to 58.6 pts
- Agentic score
- Kimi K2.6 leads
- 50.0 to 48.8 pts
Choose by workload
Which profile fits your use?
Moonshot AI
Consider Kimi K2.6 when
your workload gives more weight to the lower listed API rate. Compare those signals with your own task mix, latency needs, and budget.
View Kimi K2.6 profileConsider Gemini 3.1 Pro when
your workload gives more weight to the higher listed coding score, the higher listed reasoning score, the higher overall index score. Compare those signals with your own task mix, latency needs, and budget.
View Gemini 3.1 Pro profile