GoogleGemini 3.1 ProVSOpenAIGPT-5.6 Terra

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

Our Take

If your budget allows, GPT-5.6 Terra is the superior choice here, offering a clear benchmark advantage while carrying only a slight price premium (1.3x). We recommend choosing Gemini 3.1 Pro only if you need to optimize costs for very high-volume pipelines.

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Model Specs

Gemini 3.1 Pro

Website

Benchmarks & Scores

Coding (swe-bench-pro)

54.2%

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

Reasoning (gpqa-diamond)Winner (+1.4%)

94.3%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.3x cheaper

$4.50Input: $2.00 | Output: $12.00

Context Window

1.05M tokens

Model Specs

GPT-5.6 Terra

Website

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+9.2%)

63.4%

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

Reasoning (gpqa-diamond)

92.9%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$5.63Input: $2.50 | Output: $15.00

Context WindowLarger

1.05M tokens

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Frequently Asked Questions about Gemini 3.1 Pro vs GPT-5.6 Terra

Gemini 3.1 Pro is cheaper than GPT-5.6 Terra. Gemini 3.1 Pro has a blended cost of $4.50/1M tokens, which is about 1.3x cheaper than GPT-5.6 Terra at $5.63/1M tokens.

GPT-5.6 Terra is better for coding tasks on this benchmark. It scores 63.4% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Gemini 3.1 Pro which scores 54.2%.

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