Model comparison
Muse Spark 1.1 vs Yi-34B
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 27.8 on the Noometry Index.
Last verified . 18 shared benchmarks.
MetaSummary
- They share 18 benchmarks with published results for both. Muse Spark 1.1 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 1.1 leads 53.1 to 7.5.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark 1.1 | Yi-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 49.9 | 27.8 |
| Released | 2026-04-08 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $4.25 | — |
| Results tracked | 37 | 23 |
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Category by category
Coding Muse Spark 1.1 leads
Muse Spark 1.1: 51.3 (#40), Yi-34B: 32.3 (#274)
| Benchmark | Muse Spark 1.1 | Yi-34B |
|---|---|---|
| LMArena Coding | 1498 | 1112 |
| DeepSWE | 53.3% | — |
| LMArena WebDev | 1542 | — |
| SciCode | 58.8% | — |
Agentic & Tool Use Not comparable
Muse Spark 1.1: 30.8 (#73), Yi-34B: —
| Benchmark | Muse Spark 1.1 | Yi-34B |
|---|---|---|
| APEX-Agents | 31.8% | — |
| 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: 47.1 (#44), Yi-34B: 21.2 (#226)
| Benchmark | Muse Spark 1.1 | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1486 | 1104 |
| Epoch Capabilities Index | 154.21 | 117.39 |
| NYT Connections (extended) | 84.9% | — |
| CritPt | 15.1% | — |
| DTBench | 94.4% | — |
| LMCA | 49.9% | — |
| Surface Evolver Bench | 52.5% | — |
| BIG-Bench Hard | — | 71.7% |
Math Muse Spark 1.1 leads
Muse Spark 1.1: 45.5 (#76), Yi-34B: 21.6 (#282)
| Benchmark | Muse Spark 1.1 | Yi-34B |
|---|---|---|
| LMArena Math | 1483 | 1114 |
| ProofBench | 39% | — |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Muse Spark 1.1 leads
Muse Spark 1.1: 53.1 (#59), Yi-34B: 7.5 (#309)
| Benchmark | Muse Spark 1.1 | Yi-34B |
|---|---|---|
| LMArena Expert | 1478 | 1061 |
| GPQA Diamond | — | 14.7% |
| SimpleQA Verified | 57.8% | — |
| MMLU | — | 76.3% |
Multimodal Not comparable
Muse Spark 1.1: 42.6 (#29), Yi-34B: —
| Benchmark | Muse Spark 1.1 | Yi-34B |
|---|---|---|
| LMArena Vision | 1293 | — |
| LMArena Document | 1465 | — |
Multilingual Muse Spark 1.1 leads
Muse Spark 1.1: 56.7 (#17), Yi-34B: 29.7 (#264)
| Benchmark | Muse Spark 1.1 | Yi-34B |
|---|---|---|
| LMArena Non-English | 1472 | 1079 |
| LMArena Chinese | 1518 | 1176 |
| LMArena French | 1494 | 1081 |
| LMArena German | 1466 | 1042 |
| LMArena Japanese | 1451 | 993 |
| LMArena Korean | 1458 | 959 |
| LMArena Russian | 1483 | 1050 |
| LMArena Spanish | 1464 | 1070 |
Instruction Following Muse Spark 1.1 leads
Muse Spark 1.1: 76.5 (#39), Yi-34B: 56.2 (#274)
| Benchmark | Muse Spark 1.1 | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1457 | 1091 |
Long Context Muse Spark 1.1 leads
Muse Spark 1.1: 44.8 (#58), Yi-34B: 33.2 (#264)
| Benchmark | Muse Spark 1.1 | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1462 | 1094 |
Writing & Preference Muse Spark 1.1 leads
Muse Spark 1.1: 73.4 (#11), Yi-34B: 34.1 (#273)
| Benchmark | Muse Spark 1.1 | Yi-34B |
|---|---|---|
| LMArena Text | 1479 | 1129 |
| LMArena Creative Writing | 1437 | 1108 |
| LMArena Multi-Turn | 1485 | 1113 |
| EQ-Bench Creative Writing | 1927 | — |
| EQ-Bench 4 | 1260 | — |
Frequently asked questions
Is Muse Spark 1.1 better than Yi-34B?
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 27.8 on the Noometry Index.
Is Muse Spark 1.1 or Yi-34B better for coding?
Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 32.3 in the Noometry coding category.
How many benchmarks do Muse Spark 1.1 and Yi-34B share?
18 benchmarks have published results for both models. Muse Spark 1.1 has 37 scored results on Noometry and Yi-34B has 23.