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GoogleGemini 2.5 ProVSGoogleGemini 3.6 Flash

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

Our Take

These models use different coding benchmarks — with Gemini 2.5 Pro evaluated on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems) and Gemini 3.6 Flash on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) — but Gemini 3.6 Flash holds a clear reasoning advantage (+8.6% on GPQA Diamond) while being cheaper or equal in cost to Gemini 2.5 Pro. We recommend going with Gemini 3.6 Flash for superior overall value and reasoning capabilities.
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Model Specs

Gemini 2.5 Pro

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)
$3.44Input: $1.25 | Output: $10.00
Context Window
1.05M tokens
Model Specs

Gemini 3.6 Flash

Benchmarks & Scores

Coding (swe-bench-pro)
58.7%

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

Reasoning (gpqa-diamond)Winner (+8.6%)
93%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.1x cheaper
$3.00Input: $1.50 | Output: $7.50
Context Window
1.05M tokens

Frequently Asked Questions about Gemini 2.5 Pro vs Gemini 3.6 Flash

Gemini 3.6 Flash is cheaper than Gemini 2.5 Pro. Gemini 3.6 Flash has a blended cost of $3.00/1M tokens, which is about 1.1x cheaper than Gemini 2.5 Pro at $3.44/1M 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 Gemini 3.6 Flash scores 58.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).

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