Google Gemini 3.1 Flash-Lite VS OpenAI GPT-5.6 Sol
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Sol is the premium intelligence choice, scoring 7.4% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Gemini 3.1 Flash-Lite is 20.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemini 3.1 Flash-Lite offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Sol fully justifies the cost.
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Model Specs
Gemini 3.1 Flash-Lite
Benchmarks & Scores
Coding (live-code-bench)
72%good at single-file apps, building games & UIs, and scripting new logic
Reasoning (gpqa-diamond)
86.9%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)20.0x cheaper
$0.56Input: $0.25 | Output: $1.50Context Window
1M tokensModel Specs
GPT-5.6 Sol
Benchmarks & Scores
Coding (swe-bench-pro)
64.6%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+7.7%)
94.6%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$11.25Input: $5.00 | Output: $30.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Gemini 3.1 Flash-Lite vs GPT-5.6 Sol comparison
Gemini 3.1 Flash-Lite is cheaper than GPT-5.6 Sol. Gemini 3.1 Flash-Lite has a blended cost of $0.56/1M tokens, which is about 20.0x cheaper than GPT-5.6 Sol at $11.25/1M tokens.
For coding tasks, Gemini 3.1 Flash-Lite scores 72% on live-code-bench (good at single-file apps, building games & UIs, and scripting new logic), while GPT-5.6 Sol scores 64.6% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).
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