Benchmark analysis of Mixtral 8x22B Instruct v0.1 by Mistral across 2 tests.
According to BenchLM.ai, Mixtral 8x22B Instruct v0.1 ranks #99 out of 100 models with an overall score of 28/100. While not a frontier model, it offers specific advantages depending on the use case.
Mixtral 8x22B Instruct v0.1 is a open weight model with a 64K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
This profile currently has 2 of 22 tracked benchmarks, so the overall score is conservative until the rest of the suite is filled in.
Its strongest category is Coding (#31), while its weakest is Mathematics (#100). This performance profile makes it particularly well-suited for software development and code generation tasks.
Creator
Mistral
Source Type
Open WeightReasoning
Non-ReasoningContext Window
64K
Overall Score
Mixtral 8x22B Instruct v0.1 ranks #99 out of 100 models with an overall score of 28. It is created by Mistral and features a 64K context window.
Mixtral 8x22B Instruct v0.1 ranks #35 out of 100 models in knowledge and understanding benchmarks with an average score of 71.4. There are stronger options in this category.
Mixtral 8x22B Instruct v0.1 ranks #31 out of 100 models in coding and programming benchmarks with an average score of 54.8. There are stronger options in this category.
Yes, Mixtral 8x22B Instruct v0.1 is an open weight model created by Mistral, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Not yet. Mixtral 8x22B Instruct v0.1 currently has 2 sourced benchmark scores out of the 22 benchmarks BenchLM tracks, so its overall score is intentionally conservative until more results are added.
Mixtral 8x22B Instruct v0.1 has a context window of 64K tokens, which determines how much text it can process in a single interaction.
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