GoogleGemini 3.5 Flash LiteVSMoonshot AI (Kimi)kimi-k2.5

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

Our Take

If your budget allows, kimi-k2.5 is the superior choice here, offering a clear benchmark advantage while carrying only a slight price premium (1.4x). We recommend choosing Gemini 3.5 Flash Lite only if you need to optimize costs for very high-volume pipelines.

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Model Specs

Gemini 3.5 Flash Lite

Website

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+3.5%)

54.2%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)

84%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.4x cheaper

$0.85Input: $0.30 | Output: $2.50

Context WindowLarger

1.05M tokens

Model Specs

kimi-k2.5

Open SourceAPI Available

Website 🤗HF

Benchmarks & Scores

Coding (swe-bench-pro)

50.7%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+3.6%)

87.6%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$1.20Input: $0.60 | Output: $3.00

Context Window

262.14k tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 3.5 Flash Lite vs kimi-k2.5

Gemini 3.5 Flash Lite is cheaper than kimi-k2.5. Gemini 3.5 Flash Lite has a blended cost of $0.85/1M tokens, which is about 1.4x cheaper than kimi-k2.5 at $1.20/1M tokens.

Gemini 3.5 Flash Lite is better for coding tasks on this benchmark. It scores 54.2% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to kimi-k2.5 which scores 50.7%.

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