Model comparison
Muse Spark 1.1 vs Yi-1.5-34B
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 30.2 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Muse Spark 1.1 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 1.1 leads 52.8 to 14.8.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark 1.1 | Yi-1.5-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 49.9 | 30.2 |
| Released | 2026-04-08 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $4.25 | — |
| Results tracked | 36 | 21 |
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Category by category
Coding Muse Spark 1.1 leads
Muse Spark 1.1: 50.8 (#38), Yi-1.5-34B: 31.9 (#267)
| Benchmark | Muse Spark 1.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1497 | 1169 |
| DeepSWE | 53.3% | — |
| LMArena WebDev | 1542 | — |
| SciCode | 58.8% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Agentic & Tool Use Not comparable
Muse Spark 1.1: 33.9 (#45), Yi-1.5-34B: —
| Benchmark | Muse Spark 1.1 | Yi-1.5-34B |
|---|---|---|
| τ²-bench Banking | 40.5% | — |
| GBAEval | 7.9% | — |
| GDP.pdf | 15% | — |
| Vending-Bench 2 | 6,520 | — |
Reasoning Muse Spark 1.1 leads
Muse Spark 1.1: 45.9 (#41), Yi-1.5-34B: 21.5 (#195)
| Benchmark | Muse Spark 1.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1486 | 1160 |
| NYT Connections (extended) | 84.9% | — |
| CritPt | 15.1% | — |
| DTBench | 94.4% | — |
| LMCA | 49.9% | — |
| Surface Evolver Bench | 52.5% | — |
| Epoch Capabilities Index | 154.32 | — |
Math Muse Spark 1.1 leads
Muse Spark 1.1: 44.0 (#67), Yi-1.5-34B: 25.3 (#248)
| Benchmark | Muse Spark 1.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1477 | 1182 |
| ProofBench | 39% | — |
| MATH Level 5 | — | 25.5% |
Knowledge Muse Spark 1.1 leads
Muse Spark 1.1: 52.8 (#55), Yi-1.5-34B: 14.8 (#290)
| Benchmark | Muse Spark 1.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1480 | 1144 |
| GPQA Diamond | — | 32% |
| SimpleQA Verified | 57.8% | — |
Multimodal Not comparable
Muse Spark 1.1: 41.9 (#28), Yi-1.5-34B: —
| Benchmark | Muse Spark 1.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1292 | — |
| LMArena Document | 1465 | — |
Multilingual Muse Spark 1.1 leads
Muse Spark 1.1: 56.8 (#16), Yi-1.5-34B: 32.5 (#251)
| Benchmark | Muse Spark 1.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1471 | 1121 |
| LMArena Chinese | 1518 | 1213 |
| LMArena French | 1494 | 1155 |
| LMArena German | 1466 | 1111 |
| LMArena Japanese | 1445 | 1021 |
| LMArena Korean | 1459 | 1005 |
| LMArena Russian | 1482 | 1091 |
| LMArena Spanish | 1471 | 1120 |
Instruction Following Muse Spark 1.1 leads
Muse Spark 1.1: 76.8 (#36), Yi-1.5-34B: 59.4 (#252)
| Benchmark | Muse Spark 1.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1457 | 1139 |
Long Context Muse Spark 1.1 leads
Muse Spark 1.1: 44.8 (#55), Yi-1.5-34B: 34.6 (#243)
| Benchmark | Muse Spark 1.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1463 | 1144 |
Writing & Preference Muse Spark 1.1 leads
Muse Spark 1.1: 73.6 (#11), Yi-1.5-34B: 37.6 (#252)
| Benchmark | Muse Spark 1.1 | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1479 | 1173 |
| LMArena Creative Writing | 1440 | 1135 |
| LMArena Multi-Turn | 1484 | 1153 |
| EQ-Bench Creative Writing | 1927 | — |
| EQ-Bench 4 | 1260 | — |
Frequently asked questions
Is Muse Spark 1.1 better than Yi-1.5-34B?
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 30.2 on the Noometry Index.
Is Muse Spark 1.1 or Yi-1.5-34B better for coding?
Muse Spark 1.1 scores higher on coding benchmarks: 50.8 versus 31.9 in the Noometry coding category.
How many benchmarks do Muse Spark 1.1 and Yi-1.5-34B share?
17 benchmarks have published results for both models. Muse Spark 1.1 has 36 scored results on Noometry and Yi-1.5-34B has 21.