GoogleGemini 2.5 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 reasoning advantage (+8.5% on GPQA Diamond) — with Gemini 2.5 Pro evaluated on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems) and GPT-5.6 Terra on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) — while carrying only a moderate price premium (1.6x). Choose Gemini 2.5 Pro only if you need to optimize costs for very high-volume pipelines.

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Model Specs

Gemini 2.5 Pro

Website

Benchmarks & Scores

Coding (swe-bench-verified)

59.6%

good at editing existing code, cross-file updates, and multi-component systems

Reasoning (gpqa-diamond)

84.4%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.6x cheaper

$3.44Input: $1.25 | Output: $10.00

Context Window

1.05M tokens

Model Specs

GPT-5.6 Terra

Website

Benchmarks & Scores

Coding (swe-bench-pro)

63.4%

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

Reasoning (gpqa-diamond)Winner (+8.5%)

92.9%

graduate-level science QA

Cost & Context

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 Pro vs GPT-5.6 Terra

Gemini 2.5 Pro is cheaper than GPT-5.6 Terra. Gemini 2.5 Pro has a blended cost of $3.44/1M tokens, which is about 1.6x cheaper than GPT-5.6 Terra at $5.63/1M tokens.

For coding tasks, Gemini 2.5 Pro scores 59.6% 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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