Model comparison
Muse Spark vs Yi-34B
Muse Spark is the stronger model overall, scoring 50.6 to 27.8 on the Noometry Index.
Last verified . 18 shared benchmarks.
MetaSummary
- They share 18 benchmarks with published results for both. Muse Spark 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 leads 65.7 to 7.5.
- The biggest single-benchmark swing is GPQA Diamond: 89.8% for Muse Spark and 14.7% for Yi-34B.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark | Yi-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 50.6 | 27.8 |
| Released | 2026-04-08 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 27 | 23 |
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Category by category
Coding Muse Spark leads
Muse Spark: 46.2 (#69), Yi-34B: 32.3 (#274)
| Benchmark | Muse Spark | Yi-34B |
|---|---|---|
| LMArena Coding | 1481 | 1112 |
| SciCode | 51.5% | — |
Reasoning Muse Spark leads
Muse Spark: 35.9 (#67), Yi-34B: 21.2 (#226)
| Benchmark | Muse Spark | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1474 | 1104 |
| Epoch Capabilities Index | 152.04 | 117.39 |
| CritPt | 11.3% | — |
| BIG-Bench Hard | — | 71.7% |
Math Muse Spark leads
Muse Spark: 47.8 (#66), Yi-34B: 21.6 (#282)
| Benchmark | Muse Spark | Yi-34B |
|---|---|---|
| LMArena Math | 1455 | 1114 |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 17% | — |
| MATH Level 5 | — | 5.1% |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
| GSM8K | — | 76% |
Knowledge Muse Spark leads
Muse Spark: 65.7 (#13), Yi-34B: 7.5 (#309)
| Benchmark | Muse Spark | Yi-34B |
|---|---|---|
| GPQA Diamond | 89.8% | 14.7% |
| LMArena Expert | 1457 | 1061 |
| Humanity's Last Exam | 40.6% | — |
| MMLU | — | 76.3% |
Multimodal Not comparable
Muse Spark: 43.4 (#24), Yi-34B: —
| Benchmark | Muse Spark | Yi-34B |
|---|---|---|
| LMArena Vision | 1306 | — |
| LMArena Document | 1444 | — |
Multilingual Muse Spark leads
Muse Spark: 56.1 (#24), Yi-34B: 29.7 (#264)
| Benchmark | Muse Spark | Yi-34B |
|---|---|---|
| LMArena Non-English | 1464 | 1079 |
| LMArena Chinese | 1509 | 1176 |
| LMArena French | 1497 | 1081 |
| LMArena German | 1497 | 1042 |
| LMArena Korean | 1459 | 959 |
| LMArena Russian | 1466 | 1050 |
| LMArena Spanish | 1472 | 1070 |
| LMArena Japanese | — | 993 |
Instruction Following Muse Spark leads
Muse Spark: 75.9 (#51), Yi-34B: 56.2 (#274)
| Benchmark | Muse Spark | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1442 | 1091 |
Long Context Muse Spark leads
Muse Spark: 44.4 (#69), Yi-34B: 33.2 (#264)
| Benchmark | Muse Spark | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1451 | 1094 |
Writing & Preference Muse Spark leads
Muse Spark: 66.0 (#39), Yi-34B: 34.1 (#273)
| Benchmark | Muse Spark | Yi-34B |
|---|---|---|
| LMArena Text | 1474 | 1129 |
| LMArena Creative Writing | 1459 | 1108 |
| LMArena Multi-Turn | 1477 | 1113 |
Frequently asked questions
Is Muse Spark better than Yi-34B?
Muse Spark is the stronger model overall, scoring 50.6 to 27.8 on the Noometry Index.
Is Muse Spark or Yi-34B better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 32.3 in the Noometry coding category.
How many benchmarks do Muse Spark and Yi-34B share?
18 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Yi-34B has 23.