GoogleGemini 2.5 Flash-LiteVSOpenAIGPT-5.6 Sol

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 GPT-5.6 Sol on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) — but GPT-5.6 Sol holds a clear reasoning advantage (+32.1% on GPQA Diamond). However, Gemini 2.5 Flash-Lite is a massive 64.3x cheaper to run. Choose GPT-5.6 Sol 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)64.3x cheaper

$0.17Input: $0.10 | Output: $0.40

Context Window

1.05M tokens

Model Specs

GPT-5.6 Sol

Website

Benchmarks & Scores

Coding (swe-bench-pro)

64.6%

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

Reasoning (gpqa-diamond)Winner (+32.1%)

94.6%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$11.25Input: $5.00 | Output: $30.00

Context WindowLarger

1.05M tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 2.5 Flash-Lite vs GPT-5.6 Sol

Gemini 2.5 Flash-Lite is cheaper than GPT-5.6 Sol. Gemini 2.5 Flash-Lite has a blended cost of $0.17/1M tokens, which is about 64.3x cheaper than GPT-5.6 Sol at $11.25/1M 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 GPT-5.6 Sol scores 64.6% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).

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