Model comparison
Muse Spark vs Wizardlm 70b
Muse Spark is the stronger model overall, scoring 50.6 to 33.0 on the Noometry Index.
Last verified . 12 shared benchmarks.
Meta
MicrosoftSummary
- They share 12 benchmarks with published results for both. Muse Spark scores higher in 7 categories and Wizardlm 70b in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Muse Spark leads 66.0 to 34.8.
- Wizardlm 70b has downloadable open weights; the other is API-only.
Side by side
| Muse Spark | Wizardlm 70b | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 50.6 | 33.0 |
| Released | 2026-04-08 | — |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 27 | 12 |
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Category by category
Coding Muse Spark leads
Muse Spark: 46.2 (#69), Wizardlm 70b: 31.4 (#285)
| Benchmark | Muse Spark | Wizardlm 70b |
|---|---|---|
| LMArena Coding | 1481 | 1081 |
| SciCode | 51.5% | — |
Reasoning Muse Spark leads
Muse Spark: 35.9 (#67), Wizardlm 70b: 20.7 (#234)
| Benchmark | Muse Spark | Wizardlm 70b |
|---|---|---|
| LMArena Hard Prompts | 1474 | 1079 |
| CritPt | 11.3% | — |
| Epoch Capabilities Index | 152.04 | — |
Math Muse Spark leads
Muse Spark: 47.8 (#66), Wizardlm 70b: 32.2 (#218)
| Benchmark | Muse Spark | Wizardlm 70b |
|---|---|---|
| LMArena Math | 1455 | 1116 |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 17% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Not comparable
Muse Spark: 65.7 (#13), Wizardlm 70b: —
| Benchmark | Muse Spark | Wizardlm 70b |
|---|---|---|
| GPQA Diamond | 89.8% | — |
| Humanity's Last Exam | 40.6% | — |
| LMArena Expert | 1457 | — |
Multimodal Not comparable
Muse Spark: 43.4 (#24), Wizardlm 70b: —
| Benchmark | Muse Spark | Wizardlm 70b |
|---|---|---|
| LMArena Vision | 1306 | — |
| LMArena Document | 1444 | — |
Multilingual Muse Spark leads
Muse Spark: 56.1 (#24), Wizardlm 70b: 29.6 (#265)
| Benchmark | Muse Spark | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | 1464 | 1078 |
| LMArena Chinese | 1509 | 1052 |
| LMArena German | 1497 | 1083 |
| LMArena Russian | 1466 | 1155 |
| LMArena French | 1497 | — |
| LMArena Korean | 1459 | — |
| LMArena Spanish | 1472 | — |
Instruction Following Muse Spark leads
Muse Spark: 75.9 (#51), Wizardlm 70b: 56.3 (#273)
| Benchmark | Muse Spark | Wizardlm 70b |
|---|---|---|
| LMArena Instruction Following | 1442 | 1093 |
Long Context Muse Spark leads
Muse Spark: 44.4 (#69), Wizardlm 70b: 33.3 (#263)
| Benchmark | Muse Spark | Wizardlm 70b |
|---|---|---|
| LMArena Longer Query | 1451 | 1097 |
Writing & Preference Muse Spark leads
Muse Spark: 66.0 (#39), Wizardlm 70b: 34.8 (#269)
| Benchmark | Muse Spark | Wizardlm 70b |
|---|---|---|
| LMArena Text | 1474 | 1120 |
| LMArena Creative Writing | 1459 | 1149 |
| LMArena Multi-Turn | 1477 | 1108 |
Frequently asked questions
Is Muse Spark better than Wizardlm 70b?
Muse Spark is the stronger model overall, scoring 50.6 to 33.0 on the Noometry Index.
Is Muse Spark or Wizardlm 70b better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 31.4 in the Noometry coding category.
How many benchmarks do Muse Spark and Wizardlm 70b share?
12 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Wizardlm 70b has 12.