GoogleGemini 3.6 FlashVSMistral AIMistral Large 3

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

Our Take

These models use different coding evaluation benchmarks — with Gemini 3.6 Flash evaluated on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) and Mistral Large 3 on live-code-bench (good at single-file apps, building games & UIs, and scripting new logic) — but Gemini 3.6 Flash holds a clear reasoning advantage (+7.5% on GPQA Diamond). However, Mistral Large 3 is a massive 4.0x cheaper to run. Choose Gemini 3.6 Flash for complex logic and reasoning tasks, or Mistral Large 3 to optimize your budget for high-volume pipelines.

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Model Specs

Gemini 3.6 Flash

Website

Benchmarks & Scores

Coding (swe-bench-pro)

58.7%

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

Reasoning (gpqa-diamond)Winner (+7.5%)

93%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$3.00Input: $1.50 | Output: $7.50

Context WindowLarger

1.05M tokens

Model Specs

Mistral Large 3

Open SourceAPI Available

Website 🤗HF

Benchmarks & Scores

Coding (live-code-bench)

34.4%

good at single-file apps, building games & UIs, and scripting new logic

Reasoning (gpqa-diamond)

85.5%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)4.0x cheaper

$0.75Input: $0.50 | Output: $1.50

Context Window

262.14k tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 3.6 Flash vs Mistral Large 3

Mistral Large 3 is cheaper than Gemini 3.6 Flash. Mistral Large 3 has a blended cost of $0.75/1M tokens, which is about 4.0x cheaper than Gemini 3.6 Flash at $3.00/1M tokens.

For coding tasks, Gemini 3.6 Flash scores 58.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases), while Mistral Large 3 scores 34.4% on live-code-bench (good at single-file apps, building games & UIs, and scripting new logic).

Related Matchups

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