Google Gemini 2.5 Flash-Lite VS OpenAI GPT-5.6 Luna
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Luna is the premium intelligence choice, scoring 21.4% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Gemini 2.5 Flash-Lite is 12.9x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemini 2.5 Flash-Lite 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 2.5 Flash-Lite
Benchmarks & Scores
Coding (swe-bench-verified)
41.3%good at editing existing code, cross-file updates, and multi-component systems
Reasoning (gpqa-diamond)
62.5%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)12.9x cheaper
$0.17Input: $0.10 | Output: $0.40Context Window
1M tokensModel Specs
GPT-5.6 Luna
Benchmarks & Scores
Coding (swe-bench-pro)
62.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+29.8%)
92.3%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$2.25Input: $1.00 | Output: $6.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Gemini 2.5 Flash-Lite vs GPT-5.6 Luna comparison
Gemini 2.5 Flash-Lite is cheaper than GPT-5.6 Luna. Gemini 2.5 Flash-Lite has a blended cost of $0.17/1M tokens, which is about 12.9x cheaper than GPT-5.6 Luna at $2.25/1M tokens.
For coding tasks, Gemini 2.5 Flash-Lite scores 41.3% on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems), while GPT-5.6 Luna scores 62.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).
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