AnthropicClaude Opus 5VSMistral AIMixtral 8x22B v0.1
Our Take
Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Claude Opus 5 and Mixtral 8x22B v0.1 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
Was this recommendation helpful?
Benchmarks & Scores
Coding (swe-bench-pro)
79.2%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
93.7%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$10.00Input: $5.00 | Output: $25.00Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (human-eval)
45.1%basic standalone code completion and simple functions
Reasoning (gpqa-diamond)
N/Agraduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context Window
65.54k tokensFrequently Asked Questions about Claude Opus 5 vs Mixtral 8x22B v0.1
For coding tasks, Claude Opus 5 scores 79.2% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while Mixtral 8x22B v0.1 scores 45.1% on human-eval (basic standalone code completion and simple functions).
Related Matchups
Explore similar comparisons for Claude Opus 5 and Mixtral 8x22B v0.1.
Do you want to find a model for your constraints?
Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.