Mistral AI Mixtral 8x7B v0.1 VS xAI Grok 4.5
📊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 4.5 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Benchmarks & Scores
Coding (human-eval)
40.2%good at code completion, standalone functions, and basic algorithms
Reasoning (gpqa-diamond)
N/Agraduate-level science QA
Cost & Performance
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context Window
32.77k tokensBenchmarks & Scores
Coding (swe-bench-pro)
64.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
93%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$3.00Input: $2.00 | Output: $6.00Context WindowLarger
500k tokensFrequently Asked Questions about Mixtral 8x7B v0.1 vs Grok 4.5 comparison
For coding tasks, Mixtral 8x7B v0.1 scores 40.2% on human-eval (good at code completion, standalone functions, and basic algorithms), while Grok 4.5 scores 64.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).
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