GoogleGemini 3.1 Flash-LiteVSMistral AICodestral 22B

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

Our Take

Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Gemini 3.1 Flash-Lite and Codestral 22B directly in their respective provider playgrounds to see which fits your specific prompt styles best.

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Model Specs

Gemini 3.1 Flash-Lite

Website

Benchmarks & Scores

Coding (live-code-bench)

72%

scripting single-file apps or clearly defined functions

Reasoning (gpqa-diamond)

82.2%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$0.56Input: $0.25 | Output: $1.50

Context WindowLarger

1.05M tokens

Model Specs

Codestral 22B

Open SourceAPI Available

Website 🤗HF

Benchmarks & Scores

Coding (human-eval)

81.1%

basic standalone code completion and simple functions

Reasoning (gpqa-diamond)

N/A

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.3x cheaper

$0.45Input: $0.30 | Output: $0.90

Context Window

32.77k tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 3.1 Flash-Lite vs Codestral 22B

Codestral 22B is cheaper than Gemini 3.1 Flash-Lite. Codestral 22B has a blended cost of $0.45/1M tokens, which is about 1.3x cheaper than Gemini 3.1 Flash-Lite at $0.56/1M tokens.

For coding tasks, Gemini 3.1 Flash-Lite scores 72% on live-code-bench (scripting single-file apps or clearly defined functions), while Codestral 22B scores 81.1% on human-eval (basic standalone code completion and simple functions).

Related Matchups

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