# Muse Spark 1.2 vs Yi-34B

> Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 27.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/muse-spark-1-2-vs-yi-34b
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Muse Spark 1.2 scores higher in 8 categories and Yi-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark 1.2 leads 53.9 to 7.5.
- Yi-34B has downloadable open weights; the other is API-only.

## Snapshot

| | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 49.8 | 27.4 |
| Rank | 44 | 325 |
| Context | 1.05M | — |
| Input $/M | $1.25 | — |
| Output $/M | $4.25 | — |
| Weights | Proprietary | Open |

## Coding

- Muse Spark 1.2: 48.6 (#49)
- Yi-34B: 31.8 (#269)

| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Coding | 1497 | 1112 |
| DeepSWE | 54.9% | — |
| LMArena WebDev | 1532 | — |
| FrontierSWE | 12% | — |
| SciCode | 56.4% | — |
| WeirdML | 60.3% | — |

## Agentic & Tool Use

- Muse Spark 1.2: 29.5 (#77)
- Yi-34B: —

| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| APEX-Agents | 36.4% | — |
| GDP.pdf | 16% | — |

## Reasoning

- Muse Spark 1.2: 50.4 (#32)
- Yi-34B: 20.3 (#222)

| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1490 | 1104 |
| Epoch Capabilities Index | 155.18 | 117.28 |
| SimpleBench | 74.5% | — |
| NYT Connections (extended) | 79.2% | — |
| CritPt | 17.7% | — |
| DTBench | 94.7% | — |
| LMCA | 48.4% | — |
| BIG-Bench Hard | — | 71.7% |

## Math

- Muse Spark 1.2: 43.8 (#68)
- Yi-34B: 19.8 (#277)

| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| ProofBench | 43% | — |
| LMArena Math | — | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |

## Knowledge

- Muse Spark 1.2: 53.9 (#49)
- Yi-34B: 7.5 (#304)

| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Expert | 1485 | 1061 |
| GPQA Diamond | — | 14.7% |
| SimpleQA Verified | 60.3% | — |
| MMLU | — | 76.3% |

## Multimodal

- Muse Spark 1.2: 42.6 (#24)
- Yi-34B: —

| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Vision | 1304 | — |

## Multilingual

- Muse Spark 1.2: 57.4 (#10)
- Yi-34B: 29.9 (#259)

| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Non-English | 1479 | 1079 |
| LMArena Chinese | 1519 | 1175 |
| LMArena Russian | 1494 | 1050 |
| LMArena French | — | 1080 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Spanish | — | 1070 |

## Instruction Following

- Muse Spark 1.2: 77.1 (#30)
- Yi-34B: 56.4 (#269)

| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1466 | 1091 |

## Long Context

- Muse Spark 1.2: 45.4 (#35)
- Yi-34B: 33.2 (#259)

| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1483 | 1094 |

## Writing & Preference

- Muse Spark 1.2: 72.6 (#14)
- Yi-34B: 34.3 (#268)

| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Text | 1486 | 1129 |
| LMArena Creative Writing | 1444 | 1108 |
| LMArena Multi-Turn | 1504 | 1113 |
| EQ-Bench Creative Writing | 1840 | — |

## FAQ

### Is Muse Spark 1.2 better than Yi-34B?

Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 27.4 on the Noometry Index.

### Is Muse Spark 1.2 or Yi-34B better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 48.6 versus 31.8 in the Noometry coding category.

### How many benchmarks do Muse Spark 1.2 and Yi-34B share?

12 benchmarks have published results for both models. Muse Spark 1.2 has 28 scored results on Noometry and Yi-34B has 23.