GoogleGemini 3.1 Flash-LiteVSOpenAIGPT-5.6 Luna

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

These models use different coding evaluation benchmarks — with Gemini 3.1 Flash-Lite evaluated on live-code-bench (good at single-file apps, building games & UIs, and scripting new logic) and GPT-5.6 Luna on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) — but GPT-5.6 Luna holds a clear reasoning advantage (+5.4% on GPQA Diamond). However, Gemini 3.1 Flash-Lite is a massive 4.0x cheaper to run. Choose GPT-5.6 Luna for complex logic and reasoning tasks, or Gemini 3.1 Flash-Lite to optimize your budget for high-volume pipelines.

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Model Specs

Gemini 3.1 Flash-Lite

Website

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 & Context

Cost (per 1M tokens)4.0x cheaper

$0.56Input: $0.25 | Output: $1.50

Context Window

1.05M tokens

Model Specs

GPT-5.6 Luna

Website

Benchmarks & Scores

Coding (swe-bench-pro)

62.7%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+5.4%)

92.3%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$2.25Input: $1.00 | Output: $6.00

Context WindowLarger

1.05M tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 3.1 Flash-Lite vs GPT-5.6 Luna

Gemini 3.1 Flash-Lite is cheaper than GPT-5.6 Luna. Gemini 3.1 Flash-Lite has a blended cost of $0.56/1M tokens, which is about 4.0x cheaper than GPT-5.6 Luna at $2.25/1M 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 Luna scores 62.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).

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