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Model profile

Mixtral 8x22B Instruct v0.1

MistralTracked
Data verified
Overall Score
Coming soon
Arena Elo
1229
Eligible category ranks
0of 8
Price (1M tokens)
$0 in / $0 out
API pricing
Speed
Not listed
Context
64K

Evidence coverage

0 of 323 tracked benchmarks are published. 0 are verified and 0 provisional. 0 of 8 categories are measured.

Updated July 23, 2026Methodology
Published / tracked
0 / 323
Verified
0
Provisional
0
Categories with evidence
0 / 8

Evidence by category

  • Agentic0 benchmarks
    Not measured
  • Coding0 benchmarks
    Not measured
  • Reasoning0 benchmarks
    Not measured
  • Knowledge0 benchmarks
    Not measured
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
Open WeightSelf-hostNon-Reasoning
Confidence:
Low
instruct

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 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 48.0949.11

  1. o1-preview
    OpenAI
    #12349.11
    o1-preview is #123 with a score of 49.11.
    Compare
  2. Aion-2.0
    Aion Labs
    #12448.66
    Aion-2.0 is #124 with a score of 48.66.
    Compare
  3. Mixtral 8x22B Instruct v0.1Current model
    Mistral
    #12548.54
    Mixtral 8x22B Instruct v0.1 is #125 with a score of 48.54.
  4. o3-pro
    OpenAI
    #12748.33
    o3-pro is #127 with a score of 48.33.
    Compare
  5. Qwen3 Max
    Alibaba
    #12848.16
    Qwen3 Max is #128 with a score of 48.16.
    Compare
  6. o1
    OpenAI
    #12948.1
    o1 is #129 with a score of 48.1.
    Compare
  7. Gemini 2.5 Flash
    Google
    #13048.09
    Gemini 2.5 Flash is #130 with a score of 48.09.
    Compare

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 scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%0 benchmarksNot measuredNot measured
CodingWeight 20%0 benchmarksNot measuredNot measured
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
ViewEloConfidence intervalVotes
Text Overall1229±4.651,416
Coding1277±8.78,780
Math1228±9.06,778
Instruction Following1214±6.518,515
Creative Writing1190±9.47,447
Multi-turn1187±9.17,764
Hard Prompts1243±7.014,707
Hard Prompts (English)1255±8.39,466
Longer Query1217±9.95,865

Frequently Asked Questions

How does Mixtral 8x22B Instruct v0.1 perform overall in AI benchmarks?

We are tracking Mixtral 8x22B Instruct v0.1, but sourced benchmark coverage is still coming soon. The profile lists only the model metadata that has a verified public source.

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 323 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 published context window of 64K, which determines how much text it can process in a single interaction.

Last updated: July 23, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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