OpenAIGPT-5 miniVSOpenAIGPT-5.5
Our Take
This matchup represents a clear tradeoff between peak intelligence and budget efficiency. GPT-5.5 is noticeably superior (holding a 12.4% average lead in benchmarks), but it carries a massive 16.4x price premium. Choose GPT-5.5 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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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)16.4x cheaper
$0.69Input: $0.25 | Output: $2.00Context Window
400k tokensBenchmarks & Scores
Coding (swe-bench-pro)Winner (+12.9%)
58.6%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+12.0%)
93.6%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$11.25Input: $5.00 | Output: $30.00Context WindowLarger
1.05M tokensFrequently Asked Questions about GPT-5 mini vs GPT-5.5
GPT-5 mini is cheaper than GPT-5.5. GPT-5 mini has a blended cost of $0.69/1M tokens, which is about 16.4x cheaper than GPT-5.5 at $11.25/1M tokens.
GPT-5.5 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 GPT-5 mini which scores 45.7%.
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