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Mistral AIMistral 7B v0.3VSMistral AIMixtral 8x22B v0.1

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 Mistral 7B v0.3 and Mixtral 8x22B v0.1 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Model Specs

Mistral 7B v0.3

Open Source

Benchmarks & Scores

Coding (human-eval)
30.5%

basic standalone code completion and simple functions

Reasoning (gpqa-diamond)
N/A

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
Self HostLocal execution (zero API fees)
Context Window
32.77k tokens
Model Specs

Mixtral 8x22B v0.1

Open Source

Benchmarks & Scores

Coding (human-eval)Winner (+14.6%)
45.1%

basic standalone code completion and simple functions

Reasoning (gpqa-diamond)
N/A

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
Self HostLocal execution (zero API fees)
Context WindowLarger
65.54k tokens

Frequently Asked Questions about Mistral 7B v0.3 vs Mixtral 8x22B v0.1

Mixtral 8x22B v0.1 is better for coding tasks on this benchmark. It scores 45.1% on human-eval (basic standalone code completion and simple functions) compared to Mistral 7B v0.3 which scores 30.5%.

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