GoogleGemini 3.1 ProVSOpenAIGPT-5.4 nano
Our Take
We recommend Gemini 3.1 Pro if your workflow requires peak reasoning performance, or the 9.7x cheaper GPT-5.4 nano to optimize your API budget. While both models deliver similar coding capabilities, Gemini 3.1 Pro holds a clear lead in reasoning. Choose Gemini 3.1 Pro for complex logic, or GPT-5.4 nano for cost optimization.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Gemini 3.1 Pro scored 54.2%, while GPT-5.4 nano scored 52.4%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Gemini 3.1 Pro scored 94.3%, while GPT-5.4 nano scored 82.8%.
Cost Efficiency: GPT-5.4 nano pricing ($0.2/M input, $1.25/M output) is 9.7x cheaper than Gemini 3.1 Pro ($2/M input, $12/M output).
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Benchmarks & Scores
Coding (swe-bench-pro)Winner (+1.8%)
54.2%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+11.5%)
94.3%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$4.50Input: $2.00 | Output: $12.00Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)
52.4%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
82.8%graduate-level science QA
Cost & Context
Cost (per 1M tokens)9.7x cheaper
$0.46Input: $0.20 | Output: $1.25Context Window
400k tokensFrequently Asked Questions about Gemini 3.1 Pro vs GPT-5.4 nano
GPT-5.4 nano is cheaper than Gemini 3.1 Pro. GPT-5.4 nano has a blended cost of $0.46/1M tokens, which is about 9.7x cheaper than Gemini 3.1 Pro at $4.50/1M tokens.
Gemini 3.1 Pro is better for coding tasks on this benchmark. It scores 54.2% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to GPT-5.4 nano which scores 52.4%.
Related Matchups
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