Google Gemini 2.5 Flash-Lite VS OpenAI GPT-5.6 Terra

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GPT-5.6 Terra is the premium intelligence choice, scoring 22.1% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Gemini 2.5 Flash-Lite is 32.1x 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 Terra 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)32.1x cheaper

$0.17Input: $0.10 | Output: $0.40

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 (+30.4%)

92.9%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)

$5.63Input: $2.50 | Output: $15.00

Context WindowLarger

1.05M tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 2.5 Flash-Lite vs GPT-5.6 Terra comparison

Gemini 2.5 Flash-Lite is cheaper than GPT-5.6 Terra. Gemini 2.5 Flash-Lite has a blended cost of $0.17/1M tokens, which is about 32.1x cheaper than GPT-5.6 Terra at $5.63/1M 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 Terra scores 63.4% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).

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