GoogleGemini 2.5 Flash-LiteVSOpenAIGPT-5 mini

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

Our Take

We recommend GPT-5 mini if you need peak intelligence for complex complex codebases, multi-file repositories, and architectural planning, or the 3.9x cheaper Gemini 2.5 Flash-Lite if your workflow is limited to multi-file code and clearly defined tasks. While GPT-5 mini holds a major reasoning advantage, Gemini 2.5 Flash-Lite is optimized for high-volume budget pipelines. Choose GPT-5 mini for architectural codebase planning, or Gemini 2.5 Flash-Lite to maximize your budget for basic scripts.

▶WHY?

Benchmark Calculations & Evidence:

Coding Evaluation: Gemini 2.5 Flash-Lite was evaluated on SWE-bench Verified (scoring 41.3%), while GPT-5 mini was evaluated on SWE-bench Pro (scoring 45.7%).

Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. GPT-5 mini scored 81.6%, while Gemini 2.5 Flash-Lite scored 62.5%.

Cost Efficiency: Gemini 2.5 Flash-Lite pricing ($0.1/M input, $0.4/M output) is 3.9x cheaper than GPT-5 mini ($0.25/M input, $2/M output).

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Model Specs

Gemini 2.5 Flash-Lite

Website

Benchmarks & Scores

Coding (swe-bench-verified)

41.3%

multi-file code and clearly defined tasks

Reasoning (gpqa-diamond)

62.5%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)3.9x cheaper

$0.17Input: $0.10 | Output: $0.40

Context WindowLarger

1.05M tokens

Model Specs

GPT-5 mini

Website

Benchmarks & Scores

Coding (swe-bench-pro)

45.7%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)Winner (+19.1%)

81.6%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$0.69Input: $0.25 | Output: $2.00

Context Window

400k tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 2.5 Flash-Lite vs GPT-5 mini

Gemini 2.5 Flash-Lite is cheaper than GPT-5 mini. Gemini 2.5 Flash-Lite has a blended cost of $0.17/1M tokens, which is about 3.9x cheaper than GPT-5 mini at $0.69/1M tokens.

For coding tasks, Gemini 2.5 Flash-Lite scores 41.3% on swe-bench-verified (multi-file code and clearly defined tasks), while GPT-5 mini scores 45.7% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).

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