Google Gemini 3.1 Pro VS OpenAI GPT-5.6 Luna
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Luna is the premium intelligence choice, scoring 8.5% higher on coding benchmarks. It also maintains strong cost efficiency. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemini 3.1 Pro offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Luna fully justifies the cost.
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Model Specs
Gemini 3.1 Pro
Benchmarks & Scores
Coding (swe-bench-pro)
54.2%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+2.0%)
94.3%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$4.50Input: $2.00 | Output: $12.00Context Window
1M tokensModel Specs
GPT-5.6 Luna
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+8.5%)
62.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
92.3%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)2.0x cheaper
$2.25Input: $1.00 | Output: $6.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Gemini 3.1 Pro vs GPT-5.6 Luna comparison
GPT-5.6 Luna is cheaper than Gemini 3.1 Pro. GPT-5.6 Luna has a blended cost of $2.25/1M tokens, which is about 2.0x cheaper than Gemini 3.1 Pro at $4.50/1M tokens.
GPT-5.6 Luna is better for coding tasks on this benchmark. It scores 62.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Gemini 3.1 Pro which scores 54.2%.
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