DeepSeekDeepSeek V4 FlashVSMistral 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 DeepSeek V4 Flash and Mixtral 8x22B v0.1 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Benchmarks & Scores
Coding (swe-bench-pro)
49.1%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
80%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$0.17Input: $0.14 | Output: $0.28Context 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 DeepSeek V4 Flash vs Mixtral 8x22B v0.1
For coding tasks, DeepSeek V4 Flash scores 49.1% 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).
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