GoogleGemini 2.5 Flash-LiteVSGoogleGemini 3.5 Flash Lite

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

Our Take

These models use different coding evaluation benchmarks — with Gemini 2.5 Flash-Lite evaluated on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems) and Gemini 3.5 Flash Lite on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) — but Gemini 3.5 Flash Lite holds a clear reasoning advantage (+21.5% on GPQA Diamond). However, Gemini 2.5 Flash-Lite is a massive 4.9x cheaper to run. Choose Gemini 3.5 Flash Lite for complex logic and reasoning tasks, or Gemini 2.5 Flash-Lite to optimize your budget for high-volume pipelines.

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Model Specs

Gemini 2.5 Flash-Lite

Website

Benchmarks & Scores

Coding (swe-bench-verified)

41.3%

good at editing existing code, cross-file updates, and multi-component systems

Reasoning (gpqa-diamond)

62.5%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)4.9x cheaper

$0.17Input: $0.10 | Output: $0.40

Context Window

1.05M tokens

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)Winner (+21.5%)

84%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$0.85Input: $0.30 | Output: $2.50

Context Window

1.05M tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 2.5 Flash-Lite vs Gemini 3.5 Flash Lite

Gemini 2.5 Flash-Lite is cheaper than Gemini 3.5 Flash Lite. Gemini 2.5 Flash-Lite has a blended cost of $0.17/1M tokens, which is about 4.9x cheaper than Gemini 3.5 Flash Lite at $0.85/1M tokens.

For coding tasks, Gemini 2.5 Flash-Lite scores 41.3% on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems), while Gemini 3.5 Flash Lite scores 54.2% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).

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