whichllmmodel
Back to Dashboard
Google

Gemini 3.1 Pro

VS
Moonshot AI (Kimi)

kimi-k2.6

Decision Recommendation

📊 Comparison Summary: Gemini 3.1 Pro and kimi-k2.6 present close characteristics. Review the specific benchmark scorelines below to determine which engine matches your needs.

Model Specs

Gemini 3.1 Pro

Benchmarks & Scores

Coding (swe-bench-pro)
54.2%
Reasoning (gpqa-diamond)Winner (+3.8%)
94.3%

Cost & Performance

Cost (per 1M tokens)
$4.50Input: $2.00 | Output: $12.00
Speed
109 tps
Context WindowLarger
1M tokens
Model Specs

kimi-k2.6

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+4.4%)
58.6%
Reasoning (gpqa-diamond)
90.5%

Cost & Performance

Cost (per 1M tokens)2.6x cheaper
$1.71Input: $0.95 | Output: $4.00
Speed1.8x faster
193 tps
Context Window
262.14k tokens

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard