Model comparison
Muse Spark 1.2 vs Yi-34B
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 27.8 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. Muse Spark 1.2 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 1.2 leads 54.1 to 7.5.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark 1.2 | Yi-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 50.3 | 27.8 |
| Released | 2026-08-05 | 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 | 31 | 23 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Muse Spark 1.2 leads
Muse Spark 1.2: 49.2 (#51), Yi-34B: 32.3 (#274)
| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Coding | 1495 | 1112 |
| DeepSWE | 54.9% | — |
| LMArena WebDev | 1533 | — |
| FrontierSWE | 12% | — |
| SciCode | 56.4% | — |
| WeirdML | 60.3% | — |
Agentic & Tool Use Not comparable
Muse Spark 1.2: 29.4 (#87), Yi-34B: —
| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| APEX-Agents | 36.4% | — |
| GDP.pdf | 16% | — |
Reasoning Muse Spark 1.2 leads
Muse Spark 1.2: 51.3 (#34), Yi-34B: 21.2 (#226)
| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1486 | 1104 |
| Epoch Capabilities Index | 154.87 | 117.39 |
| SimpleBench | 74.5% | — |
| NYT Connections (extended) | 79.2% | — |
| CritPt | 17.7% | — |
| DTBench | 94.7% | — |
| LMCA | 48.4% | — |
| BIG-Bench Hard | — | 71.7% |
Math Muse Spark 1.2 leads
Muse Spark 1.2: 46.4 (#70), Yi-34B: 21.6 (#282)
| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Math | 1471 | 1114 |
| ProofBench | 43% | — |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Muse Spark 1.2 leads
Muse Spark 1.2: 54.1 (#53), Yi-34B: 7.5 (#309)
| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Expert | 1480 | 1061 |
| GPQA Diamond | — | 14.7% |
| SimpleQA Verified | 60.3% | — |
| MMLU | — | 76.3% |
Multimodal Not comparable
Muse Spark 1.2: 43.4 (#25), Yi-34B: —
| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Vision | 1305 | — |
Multilingual Muse Spark 1.2 leads
Muse Spark 1.2: 57.1 (#11), Yi-34B: 29.7 (#264)
| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Non-English | 1478 | 1079 |
| LMArena Chinese | 1511 | 1176 |
| LMArena French | 1513 | 1081 |
| LMArena Russian | 1487 | 1050 |
| LMArena Spanish | 1498 | 1070 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
Instruction Following Muse Spark 1.2 leads
Muse Spark 1.2: 76.7 (#36), Yi-34B: 56.2 (#274)
| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1461 | 1091 |
Long Context Muse Spark 1.2 leads
Muse Spark 1.2: 45.2 (#48), Yi-34B: 33.2 (#264)
| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1475 | 1094 |
Writing & Preference Muse Spark 1.2 leads
Muse Spark 1.2: 72.3 (#14), Yi-34B: 34.1 (#273)
| Benchmark | Muse Spark 1.2 | Yi-34B |
|---|---|---|
| LMArena Text | 1482 | 1129 |
| LMArena Creative Writing | 1449 | 1108 |
| LMArena Multi-Turn | 1494 | 1113 |
| EQ-Bench Creative Writing | 1840 | — |
Frequently asked questions
Is Muse Spark 1.2 better than Yi-34B?
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 27.8 on the Noometry Index.
Is Muse Spark 1.2 or Yi-34B better for coding?
Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 32.3 in the Noometry coding category.
How many benchmarks do Muse Spark 1.2 and Yi-34B share?
15 benchmarks have published results for both models. Muse Spark 1.2 has 31 scored results on Noometry and Yi-34B has 23.