Mixtral 8x22B Instruct v0.1
BenchLM is tracking Mixtral 8x22B Instruct v0.1, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.
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 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.
Its strongest category is Agentic (#96). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.
Ranking Distribution
Category rank across 3 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#96Coding
Reasoning
#92Knowledge
Math
Multilingual
#97Multimodal
#113Inst. Following
Chatbot Arena Performance
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how Mixtral 8x22B Instruct v0.1 stacks up against similar models
Frequently Asked Questions
How does Mixtral 8x22B Instruct v0.1 perform overall in AI benchmarks?
BenchLM is tracking Mixtral 8x22B Instruct v0.1, but sourced benchmark coverage is still coming soon. We currently list its creator, model type, and context window while we wait for public benchmark results.
Is Mixtral 8x22B Instruct v0.1 open source?
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.
Does Mixtral 8x22B Instruct v0.1 have full benchmark coverage on BenchLM?
Not yet. Mixtral 8x22B Instruct v0.1 currently has 0 published benchmark scores out of the 153 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Mixtral 8x22B Instruct v0.1?
Mixtral 8x22B Instruct v0.1 has a context window of 64K, which determines how much text it can process in a single interaction.
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