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Gemini 3.1 Pro

VS
Moonshot AI (Kimi)

kimi-k2.5

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Gemini 3.1 Pro is the premium intelligence choice, scoring 3.5% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: kimi-k2.5 is 3.8x cheaper to run and delivers 1.8x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, kimi-k2.5 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Gemini 3.1 Pro fully justifies the cost.

Model Specs

Gemini 3.1 Pro

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+3.5%)
54.2%
Reasoning (gpqa-diamond)Winner (+6.7%)
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-k2.5

Benchmarks & Scores

Coding (swe-bench-pro)
50.7%
Reasoning (gpqa-diamond)
87.6%

Cost & Performance

Cost (per 1M tokens)3.8x cheaper
$1.20Input: $0.60 | Output: $3.00
Speed1.8x faster
193 tps
Context Window
262.14k tokens
Read our data collection methodology

Frequently Asked Questions

kimi-k2.5 is cheaper than Gemini 3.1 Pro. kimi-k2.5 has a blended cost of $1.20/1M tokens, which is about 3.8x cheaper than Gemini 3.1 Pro at $4.50/1M tokens.

kimi-k2.5 is faster than Gemini 3.1 Pro. kimi-k2.5 generates 193 tokens per second (tps) compared to Gemini 3.1 Pro which generates 109 tokens per second.

Gemini 3.1 Pro is better for coding tasks. It scores 54.2% on coding evaluations (swe-bench-pro) compared to kimi-k2.5 which scores 50.7%.

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