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GoogleGemini 3.6 FlashVSOpenAIGPT-5 mini

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

Our Take

This matchup represents a clear tradeoff between peak intelligence and budget efficiency. Gemini 3.6 Flash is noticeably superior (holding a 12.2% average lead in benchmarks), but it carries a significant 4.4x price premium. Choose Gemini 3.6 Flash if you need top-tier reasoning or code debugging, but for high-volume pipelines, GPT-5 mini is the smarter business decision.
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Model Specs

Gemini 3.6 Flash

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+13.0%)
58.7%

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

Reasoning (gpqa-diamond)Winner (+11.4%)
93%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$3.00Input: $1.50 | Output: $7.50
Context WindowLarger
1.05M tokens
Model Specs

GPT-5 mini

Benchmarks & Scores

Coding (swe-bench-pro)
45.7%

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

Reasoning (gpqa-diamond)
81.6%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)4.4x cheaper
$0.69Input: $0.25 | Output: $2.00
Context Window
400k tokens

Frequently Asked Questions about Gemini 3.6 Flash vs GPT-5 mini

GPT-5 mini is cheaper than Gemini 3.6 Flash. GPT-5 mini has a blended cost of $0.69/1M tokens, which is about 4.4x cheaper than Gemini 3.6 Flash at $3.00/1M tokens.

Gemini 3.6 Flash is better for coding tasks on this benchmark. It scores 58.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to GPT-5 mini which scores 45.7%.

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