Model comparison
Muse Spark vs Yi-1.5-34B
Muse Spark is the stronger model overall, scoring 50.6 to 30.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Muse Spark scores higher in 8 categories and Yi-1.5-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 14.8.
- The biggest single-benchmark swing is GPQA Diamond: 89.8% for Muse Spark and 32% for Yi-1.5-34B.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark | Yi-1.5-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 50.6 | 30.6 |
| Released | 2026-04-08 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 27 | 21 |
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Category by category
Coding Muse Spark leads
Muse Spark: 46.2 (#69), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Muse Spark | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1481 | 1169 |
| SciCode | 51.5% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Reasoning Muse Spark leads
Muse Spark: 35.9 (#67), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Muse Spark | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1474 | 1160 |
| CritPt | 11.3% | — |
| Epoch Capabilities Index | 152.04 | — |
Math Muse Spark leads
Muse Spark: 47.8 (#66), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Muse Spark | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1455 | 1182 |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 17% | — |
| MATH Level 5 | — | 25.5% |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Muse Spark leads
Muse Spark: 65.7 (#13), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Muse Spark | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 89.8% | 32% |
| LMArena Expert | 1457 | 1144 |
| Humanity's Last Exam | 40.6% | — |
Multimodal Not comparable
Muse Spark: 43.4 (#24), Yi-1.5-34B: —
| Benchmark | Muse Spark | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1306 | — |
| LMArena Document | 1444 | — |
Multilingual Muse Spark leads
Muse Spark: 56.1 (#24), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Muse Spark | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1464 | 1121 |
| LMArena Chinese | 1509 | 1213 |
| LMArena French | 1497 | 1156 |
| LMArena German | 1497 | 1111 |
| LMArena Korean | 1459 | 1005 |
| LMArena Russian | 1466 | 1091 |
| LMArena Spanish | 1472 | 1121 |
| LMArena Japanese | — | 1021 |
Instruction Following Muse Spark leads
Muse Spark: 75.9 (#51), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Muse Spark | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1442 | 1139 |
Long Context Muse Spark leads
Muse Spark: 44.4 (#69), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Muse Spark | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1451 | 1143 |
Writing & Preference Muse Spark leads
Muse Spark: 66.0 (#39), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Muse Spark | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1474 | 1173 |
| LMArena Creative Writing | 1459 | 1135 |
| LMArena Multi-Turn | 1477 | 1153 |
Frequently asked questions
Is Muse Spark better than Yi-1.5-34B?
Muse Spark is the stronger model overall, scoring 50.6 to 30.6 on the Noometry Index.
Is Muse Spark or Yi-1.5-34B better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 32.4 in the Noometry coding category.
How many benchmarks do Muse Spark and Yi-1.5-34B share?
17 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Yi-1.5-34B has 21.