# Mixtral 8x22B Instruct

> Source: Benchize (https://benchize.com) — https://benchize.com/models/mixtral-8x22b-instruct. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/mixtral-8x22b-instruct.

Mistral AI

Canonical URL: https://benchize.com/models/mixtral-8x22b-instruct
Last updated: Thu, 22 Oct 2026 06:20:09 GMT

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Mistral AI

## Benchmarks

| Benchmark | Score | ± | Rank | Source |  |
| --- | --- | --- | --- | --- | --- |
| [Creative Writing v2](https://benchize.com/benchmarks/eq-bench%3Acreative-writing-v2.md) | 63.64% | CI 62.49–64.8% | 16 / 18 | [eq bench · creative-writing-v2](https://eqbench.com/creative_writing_v2.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 63.64 \| percent \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol creative-writing-v2 sourceModelVersion mistralai/Mixtral-8x22B-Instruct-v0.1 ### Reported statistics Uncertainty Confidence interval: 62.49–64.8% confidenceIntervalHigh 64.8 confidenceIntervalLow 62.49 ### Source [Original source](https://eqbench.com/creative_writing_v2.js) Source eq bench Original model label mistralai/Mixtral-8x22B-Instruct-v0.1 Source version creative-writing-v2 Observed 2026-10-22T05:10:05.638Z Evidence SHA-256 `264c33d486559c25267ca29861754404dadb674022dcdf6530388cd9951af31a` Source locator `/leaderboardDataCreativeWriting/55` |  |  |  |  |  |
| [EQ-Bench v2](https://benchize.com/benchmarks/eq-bench%3Aeqbench-v2.md) | 78.79% | — | 7 / 18 | [eq bench · eqbench-v2](https://eqbench.com/eqbench-v2.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 78.79 \| percent \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol eqbench-v2 sourceModelVersion mistralai/Mixtral-8x22B-Instruct-v0.1 ### Source [Original source](https://eqbench.com/eqbench-v2.js) Source eq bench Original model label mistralai/Mixtral-8x22B-Instruct-v0.1 Source version eqbench-v2 Observed 2026-10-22T05:10:05.138Z Evidence SHA-256 `088fe07c18b4347c82113934c58bb801cdb21adfe80852c7d0854e9818749dcd` Source locator `/leaderboardDataEqbench/124` |  |  |  |  |  |
| [SVGBench Arena](https://benchize.com/benchmarks/svgbench%3Aarena.md) | 1,291 | — | 141 / 191 | [svgbench](https://svgbench.ai/api/leaderboard?shape=2) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `rating` \| 1291 \| rating \| reported \| Higher is better \| ### Configuration Reasoning effort unknown sourceModelId model_mistralai_mixtral_8x22b_instruct ### Reported statistics coverageCount 27 draws 1 judged 31 losses 20 rank 223 ratingDeviation 28 wins 10 ### Source [Original source](https://svgbench.ai/api/leaderboard?shape=2) Source svgbench Original model label Mixtral 8x22B Instruct Observed 2026-10-22T04:30:04.538Z Evidence SHA-256 `5c0a9c869593820d57d2c05f6d416e1b44a740b4835e66c66e9ad8b8edc59e2c` Source locator `/rows/212` |  |  |  |  |  |
| [MAGI-Hard](https://benchize.com/benchmarks/eq-bench%3Amagi-hard.md) | 62.41% | — | 8 / 14 | [eq bench · magi-hard](https://eqbench.com/eqbench-v2.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 62.41 \| percent \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol magi-hard sourceModelVersion mistralai/Mixtral-8x22B-Instruct-v0.1 ### Source [Original source](https://eqbench.com/eqbench-v2.js) Source eq bench Original model label mistralai/Mixtral-8x22B-Instruct-v0.1 Source version magi-hard Observed 2026-10-22T05:10:05.138Z Evidence SHA-256 `088fe07c18b4347c82113934c58bb801cdb21adfe80852c7d0854e9818749dcd` Source locator `/leaderboardDataMagi/116` |  |  |  |  |  |

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Cite as: Mixtral 8x22B Instruct — Benchize, https://benchize.com/models/mixtral-8x22b-instruct (retrieved 2026-10-22)