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Google Gemini 3.1 Flash-Lite VS OpenAI GPT-5.6 Terra

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Gemini 3.1 Flash-Lite is the premium intelligence choice, scoring 8.6% 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, GPT-5.6 Terra offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Gemini 3.1 Flash-Lite 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)10.0x cheaper
$0.56Input: $0.25 | Output: $1.50
Context Window
1M tokens
Model Specs

GPT-5.6 Terra

Benchmarks & Scores

Coding (swe-bench-pro)
63.4%

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

Reasoning (gpqa-diamond)Winner (+6.0%)
92.9%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$5.63Input: $2.50 | Output: $15.00
Context WindowLarger
1.05M tokens

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

Gemini 3.1 Flash-Lite is cheaper than GPT-5.6 Terra. Gemini 3.1 Flash-Lite has a blended cost of $0.56/1M tokens, which is about 10.0x cheaper than GPT-5.6 Terra at $5.63/1M 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 Terra scores 63.4% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).