Model profile
Mistral 8x7B v0.2
Evidence coverage
0 of 321 tracked benchmarks are published. 0 are verified and 0 provisional. 0 of 8 categories are measured.
- Published / tracked
- 0 / 321
- Verified
- 0
- Provisional
- 0
- Categories with evidence
- 0 / 8
Evidence by category
- Agentic0 benchmarksNot measured
- Coding0 benchmarksNot measured
- Reasoning0 benchmarksNot measured
- Knowledge0 benchmarksNot measured
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following0 benchmarksNot measured
BenchLM is tracking Mistral 8x7B v0.2, 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.
Mistral 8x7B v0.2 is a open weight model with a 32K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
Mistral 8x7B v0.2 sits inside the Mistral 8x7B family alongside Mistral 8x7B. This profile does not yet have sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 38.64–39.9
- Mistral 7B v0.3MistralCompare#17339.9Mistral 7B v0.3 is #173 with a score of 39.9.
- Llama 4 ScoutMetaCompare#17439.87Llama 4 Scout is #174 with a score of 39.87.
- Qwen2.5-VL-32BAlibabaCompare#17539.85Qwen2.5-VL-32B is #175 with a score of 39.85.
- Llama 4 BehemothMetaCompare#17639.8Llama 4 Behemoth is #176 with a score of 39.8.
- Ministral 3 3B (Reasoning)MistralCompare#17739.52Ministral 3 3B (Reasoning) is #177 with a score of 39.52.
- Mistral 8x7B v0.2Current modelMistral#17839.13Mistral 8x7B v0.2 is #178 with a score of 39.13.
- Grok Code Fast 1xAICompare#18038.64Grok Code Fast 1 is #180 with a score of 38.64.
Benchmark data coming soon
BenchLM has created this model profile, but no sourced benchmark rows are published here yet. Category charts, rankings, and score tables will appear after public evaluations are available and attached to source records.
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | Not ranked | Not available | 22% | 0 benchmarks | Not measured |
| CodingWeight 20%0 benchmarksNot measured | Not measured | Not ranked | Not available | 20% | 0 benchmarks | Not measured |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1035 | Not available | Not available |
Frequently Asked Questions
How does Mistral 8x7B v0.2 perform overall in AI benchmarks?
We are tracking Mistral 8x7B v0.2, but sourced benchmark coverage is still coming soon. The profile lists only the model metadata that has a verified public source.
Is Mistral 8x7B v0.2 open source?
Yes, Mistral 8x7B v0.2 is an open weight model created by Mistral, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to Mistral 8x7B v0.2?
Mistral 8x7B v0.2 belongs to the Mistral 8x7B family. Related variants on BenchLM include Mistral 8x7B.
Does Mistral 8x7B v0.2 have full benchmark coverage on BenchLM?
Not yet. Mistral 8x7B v0.2 currently has 0 published benchmark scores out of the 321 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 Mistral 8x7B v0.2?
Mistral 8x7B v0.2 has a published context window of 32K, which determines how much text it can process in a single interaction.
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