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Mistral AIMixtral 8x7B v0.1VSxAIGrok 4.20

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 Mixtral 8x7B v0.1 and Grok 4.20 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Model Specs

Mixtral 8x7B v0.1

Open Source

Benchmarks & Scores

Coding (human-eval)
40.2%

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

Grok 4.20

Benchmarks & Scores

Coding (swe-bench-pro)
51.8%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)
90%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$3.00Input: $2.00 | Output: $6.00
Context WindowLarger
1.05M tokens

Frequently Asked Questions about Mixtral 8x7B v0.1 vs Grok 4.20

For coding tasks, Mixtral 8x7B v0.1 scores 40.2% on human-eval (basic standalone code completion and simple functions), while Grok 4.20 scores 51.8% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).

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