GoogleGemini 3.5 Flash LiteVSMistral AIMistral Large 3

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

Our Take

Because these models use different evaluation benchmarks — with Gemini 3.5 Flash Lite 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) — their coding scores cannot be compared directly. However, they share very similar reasoning capabilities. Mistral Large 3 is the smarter buy here as it offers the same level of performance while being 1.1x cheaper than Gemini 3.5 Flash Lite.

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Model Specs

Gemini 3.5 Flash Lite

Website

Benchmarks & Scores

Coding (swe-bench-pro)

54.2%

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

Reasoning (gpqa-diamond)

84%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$0.85Input: $0.30 | Output: $2.50

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)Winner (+1.5%)

85.5%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.1x cheaper

$0.75Input: $0.50 | Output: $1.50

Context Window

262.14k tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 3.5 Flash Lite vs Mistral Large 3

Mistral Large 3 is cheaper than Gemini 3.5 Flash Lite. Mistral Large 3 has a blended cost of $0.75/1M tokens, which is about 1.1x cheaper than Gemini 3.5 Flash Lite at $0.85/1M tokens.

For coding tasks, Gemini 3.5 Flash Lite scores 54.2% 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).

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