Model comparison
Muse Spark vs phi-3-medium 14B
Muse Spark is the stronger model overall, scoring 50.6 to 29.7 on the Noometry Index.
Last verified . 2 shared benchmarks.
Meta
MicrosoftSummary
- They share 2 benchmarks with published results for both. Muse Spark scores higher in 3 categories and phi-3-medium 14B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 9.1.
- The biggest single-benchmark swing is GPQA Diamond: 89.8% for Muse Spark and 27.6% for phi-3-medium 14B.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark | phi-3-medium 14B | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 50.6 | 29.7 |
| Released | 2026-04-08 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 27 | 13 |
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Category by category
Coding Muse Spark leads
Muse Spark: 46.2 (#69), phi-3-medium 14B: 36.8 (#201)
| Benchmark | Muse Spark | phi-3-medium 14B |
|---|---|---|
| SciCode | 51.5% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1481 | — |
| BigCodeBench Complete | — | 48.7% |
Reasoning Not comparable
Muse Spark: 35.9 (#67), phi-3-medium 14B: —
| Benchmark | Muse Spark | phi-3-medium 14B |
|---|---|---|
| Epoch Capabilities Index | 152.04 | 121.23 |
| CritPt | 11.3% | — |
| LMArena Hard Prompts | 1474 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math Muse Spark leads
Muse Spark: 47.8 (#66), phi-3-medium 14B: 27.3 (#250)
| Benchmark | Muse Spark | phi-3-medium 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 17% | — |
| LMArena Math | 1455 | — |
| MATH Level 5 | — | 17.6% |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Muse Spark leads
Muse Spark: 65.7 (#13), phi-3-medium 14B: 9.1 (#306)
| Benchmark | Muse Spark | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | 89.8% | 27.6% |
| Humanity's Last Exam | 40.6% | — |
| LMArena Expert | 1457 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
Muse Spark: 43.4 (#24), phi-3-medium 14B: —
| Benchmark | Muse Spark | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1306 | — |
| LMArena Document | 1444 | — |
Multilingual Not comparable
Muse Spark: 56.1 (#24), phi-3-medium 14B: —
| Benchmark | Muse Spark | phi-3-medium 14B |
|---|---|---|
| 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), phi-3-medium 14B: —
| Benchmark | Muse Spark | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1442 | — |
Long Context Not comparable
Muse Spark: 44.4 (#69), phi-3-medium 14B: —
| Benchmark | Muse Spark | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1451 | — |
Writing & Preference Not comparable
Muse Spark: 66.0 (#39), phi-3-medium 14B: —
| Benchmark | Muse Spark | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1474 | — |
| LMArena Creative Writing | 1459 | — |
| LMArena Multi-Turn | 1477 | — |
Frequently asked questions
Is Muse Spark better than phi-3-medium 14B?
Muse Spark is the stronger model overall, scoring 50.6 to 29.7 on the Noometry Index.
Is Muse Spark or phi-3-medium 14B better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 36.8 in the Noometry coding category.
How many benchmarks do Muse Spark and phi-3-medium 14B share?
2 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and phi-3-medium 14B has 13.