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Gemini 3.1 Flash-Lite

VS
Moonshot AI (Kimi)

kimi-k2.5

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, kimi-k2.5 is the premium intelligence choice, scoring 50.7% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Gemini 3.1 Flash-Lite is 2.1x cheaper to run and delivers 1.1x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemini 3.1 Flash-Lite offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of kimi-k2.5 fully justifies the cost.

Model Specs

Gemini 3.1 Flash-Lite

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
86.9%

Cost & Performance

Cost (per 1M tokens)2.1x cheaper
$0.56Input: $0.25 | Output: $1.50
Speed1.1x faster
205 tps
Context WindowLarger
1M tokens
Model Specs

kimi-k2.5

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
50.7%
Reasoning (gpqa-diamond)Winner (+0.7%)
87.6%

Cost & Performance

Cost (per 1M tokens)
$1.20Input: $0.60 | Output: $3.00
Speed
193 tps
Context Window
262.14k tokens

Frequently Asked Questions

Gemini 3.1 Flash-Lite is cheaper than kimi-k2.5. Gemini 3.1 Flash-Lite has a blended cost of $0.56/1M tokens, which is about 2.1x cheaper than kimi-k2.5 at $1.20/1M tokens.

Gemini 3.1 Flash-Lite is faster than kimi-k2.5. Gemini 3.1 Flash-Lite generates 205 tokens per second (tps) compared to kimi-k2.5 which generates 193 tokens per second.

kimi-k2.5 is better for coding tasks. It scores 50.7% on coding evaluations (swe-bench-pro) compared to Gemini 3.1 Flash-Lite which scores N/A.

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