GoogleGemini 3.5 Flash LiteVSMoonshot AI (Kimi)Kimi K2.7 Code

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

Our Take

If your budget allows, Kimi K2.7 Code is the superior choice here, offering a clear benchmark advantage while carrying only a moderate price premium (2.0x). 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)

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)2.0x cheaper

$0.85Input: $0.30 | Output: $2.50

Context WindowLarger

1.05M tokens

Model Specs

Kimi K2.7 Code

Open SourceAPI Available

Website 🤗HF

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+4.4%)

58.6%

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

Reasoning (gpqa-diamond)Winner (+6.0%)

90%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$1.71Input: $0.95 | Output: $4.00

Context Window

262.14k tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 3.5 Flash Lite vs Kimi K2.7 Code

Gemini 3.5 Flash Lite is cheaper than Kimi K2.7 Code. Gemini 3.5 Flash Lite has a blended cost of $0.85/1M tokens, which is about 2.0x cheaper than Kimi K2.7 Code at $1.71/1M tokens.

Kimi K2.7 Code is better for coding tasks on this benchmark. It scores 58.6% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Gemini 3.5 Flash Lite which scores 54.2%.

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