Model comparison
Muse Spark vs Yi-Large
Muse Spark has enough public results to be ranked (#46); Yi-Large does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
MetaSummary
- The widest gap is in coding, where Muse Spark leads 46.2 to 36.7.
Side by side
| Muse Spark | Yi-Large | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 50.6 | 38.1 |
| Released | 2026-04-08 | 2024-05-13 |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 27 | 3 |
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Category by category
Coding Muse Spark leads
Muse Spark: 46.2 (#69), Yi-Large: 36.7 (#203)
| Benchmark | Muse Spark | Yi-Large |
|---|---|---|
| SciCode | 51.5% | — |
| BigCodeBench Instruct | — | 37.7% |
| LMArena Coding | 1481 | — |
| BigCodeBench Complete | — | 47.2% |
Reasoning Not comparable
Muse Spark: 35.9 (#67), Yi-Large: —
| Benchmark | Muse Spark | Yi-Large |
|---|---|---|
| CritPt | 11.3% | — |
| LMArena Hard Prompts | 1474 | — |
| Epoch Capabilities Index | 152.04 | — |
Math Not comparable
Muse Spark: 47.8 (#66), Yi-Large: —
| Benchmark | Muse Spark | Yi-Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 17% | — |
| LMArena Math | 1455 | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Not comparable
Muse Spark: 65.7 (#13), Yi-Large: —
| Benchmark | Muse Spark | Yi-Large |
|---|---|---|
| GPQA Diamond | 89.8% | — |
| Humanity's Last Exam | 40.6% | — |
| LMArena Expert | 1457 | — |
| MMLU | — | 79.3% |
Multimodal Not comparable
Muse Spark: 43.4 (#24), Yi-Large: —
| Benchmark | Muse Spark | Yi-Large |
|---|---|---|
| LMArena Vision | 1306 | — |
| LMArena Document | 1444 | — |
Multilingual Not comparable
Muse Spark: 56.1 (#24), Yi-Large: —
| Benchmark | Muse Spark | Yi-Large |
|---|---|---|
| LMArena Non-English | 1464 | — |
| LMArena Chinese | 1509 | — |
| LMArena French | 1497 | — |
| LMArena German | 1497 | — |
| LMArena Korean | 1459 | — |
| LMArena Russian | 1466 | — |
| LMArena Spanish | 1472 | — |
Instruction Following Not comparable
Muse Spark: 75.9 (#51), Yi-Large: —
| Benchmark | Muse Spark | Yi-Large |
|---|---|---|
| LMArena Instruction Following | 1442 | — |
Long Context Not comparable
Muse Spark: 44.4 (#69), Yi-Large: —
| Benchmark | Muse Spark | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1451 | — |
Writing & Preference Not comparable
Muse Spark: 66.0 (#39), Yi-Large: —
| Benchmark | Muse Spark | Yi-Large |
|---|---|---|
| LMArena Text | 1474 | — |
| LMArena Creative Writing | 1459 | — |
| LMArena Multi-Turn | 1477 | — |
Frequently asked questions
Is Muse Spark better than Yi-Large?
Muse Spark has enough public results to be ranked (#46); Yi-Large does not yet, so treat this comparison as directional.
Is Muse Spark or Yi-Large better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 36.7 in the Noometry coding category.
How many benchmarks do Muse Spark and Yi-Large share?
0 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Yi-Large has 3.