# Mixtral 8x22B vs Muse Spark 1.2

> Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 26.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mixtral-8x22b-vs-muse-spark-1-2
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. Mixtral 8x22B scores higher in 0 categories and Muse Spark 1.2 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark 1.2 leads 53.9 to 15.1.
- The biggest single-benchmark swing is WeirdML: 3.2% for Mixtral 8x22B and 60.3% for Muse Spark 1.2.
- Muse Spark 1.2 is cheaper at $1.25 / $4.25 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Muse Spark 1.2 accepts more context: 1.05M tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.

## Snapshot

| | Mixtral 8x22B | Muse Spark 1.2 |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 26.7 | 49.8 |
| Rank | 330 | 44 |
| Context | 64K | 1.05M |
| Input $/M | $2 | $1.25 |
| Output $/M | $6 | $4.25 |
| Weights | Open | Proprietary |

## Coding

- Mixtral 8x22B: 23.8 (#324)
- Muse Spark 1.2: 48.6 (#49)

| Benchmark | Mixtral 8x22B | Muse Spark 1.2 |
|---|---|---|
| WeirdML | 3.2% | 60.3% |
| LMArena Coding | 1166 | 1497 |
| DeepSWE | — | 54.9% |
| LMArena WebDev | — | 1532 |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| BigCodeBench Instruct | 40.6% | — |
| BigCodeBench Complete | 50.2% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 64.3% | — |

## Agentic & Tool Use

- Mixtral 8x22B: 22.8 (#119)
- Muse Spark 1.2: 29.5 (#77)

| Benchmark | Mixtral 8x22B | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | — | 36.4% |
| Cybench | 7.5% | — |
| GDP.pdf | — | 16% |

## Reasoning

- Mixtral 8x22B: 19.1 (#246)
- Muse Spark 1.2: 50.4 (#32)

| Benchmark | Mixtral 8x22B | Muse Spark 1.2 |
|---|---|---|
| LMArena Hard Prompts | 1150 | 1490 |
| DTBench | 55.1% | 94.7% |
| Epoch Capabilities Index | 122 | 155.18 |
| SimpleBench | — | 74.5% |
| NYT Connections (extended) | — | 79.2% |
| CritPt | — | 17.7% |
| LMCA | — | 48.4% |
| ForecastBench | 56.3 | — |

## Math

- Mixtral 8x22B: 21.2 (#271)
- Muse Spark 1.2: 43.8 (#68)

| Benchmark | Mixtral 8x22B | Muse Spark 1.2 |
|---|---|---|
| ProofBench | — | 43% |
| Omni-MATH | 16.3% | — |
| LMArena Math | 1184 | — |
| MATH Level 5 | 24.2% | — |

## Knowledge

- Mixtral 8x22B: 15.1 (#288)
- Muse Spark 1.2: 53.9 (#49)

| Benchmark | Mixtral 8x22B | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1113 | 1485 |
| GPQA Diamond | 34.1% | — |
| SimpleQA Verified | — | 60.3% |
| MMLU-Pro | 46% | — |
| GPQA (HELM) | 33.4% | — |
| MMLU | 77.8% | — |

## Multimodal

- Mixtral 8x22B: —
- Muse Spark 1.2: 42.6 (#24)

| Benchmark | Mixtral 8x22B | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | — | 1304 |

## Multilingual

- Mixtral 8x22B: 32.9 (#250)
- Muse Spark 1.2: 57.4 (#10)

| Benchmark | Mixtral 8x22B | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1128 | 1479 |
| LMArena Chinese | 1116 | 1519 |
| LMArena Russian | 1158 | 1494 |
| LMArena French | 1165 | — |
| LMArena German | 1141 | — |
| LMArena Japanese | 1037 | — |
| LMArena Korean | 1056 | — |
| LMArena Spanish | 1150 | — |

## Instruction Following

- Mixtral 8x22B: 57.9 (#261)
- Muse Spark 1.2: 77.1 (#30)

| Benchmark | Mixtral 8x22B | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1147 | 1466 |
| IFEval | 72.4% | — |

## Long Context

- Mixtral 8x22B: 34.6 (#242)
- Muse Spark 1.2: 45.4 (#35)

| Benchmark | Mixtral 8x22B | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1144 | 1483 |

## Writing & Preference

- Mixtral 8x22B: 37.1 (#257)
- Muse Spark 1.2: 72.6 (#14)

| Benchmark | Mixtral 8x22B | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1162 | 1486 |
| LMArena Creative Writing | 1141 | 1444 |
| LMArena Multi-Turn | 1130 | 1504 |
| EQ-Bench Creative Writing | — | 1840 |
| WildBench | 71.1% | — |

## FAQ

### Is Mixtral 8x22B better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 26.7 on the Noometry Index.

### Which is cheaper, Mixtral 8x22B or Muse Spark 1.2?

Muse Spark 1.2 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; Mixtral 8x22B lists at $2 and $6.

### Is Mixtral 8x22B or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 48.6 versus 23.8 in the Noometry coding category.

### Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 64K.

### How many benchmarks do Mixtral 8x22B and Muse Spark 1.2 share?

14 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Muse Spark 1.2 has 28.