Model comparison
Muse Spark 1.2 vs Phi-4
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 31.2 on the Noometry Index. Phi-4 costs 23× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.
Last verified . 15 shared benchmarks.
Meta
MicrosoftSummary
- They share 15 benchmarks with published results for both. Muse Spark 1.2 scores higher in 9 categories and Phi-4 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 17.7.
- Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
- Muse Spark 1.2 accepts more context: 1.05M tokens versus 128K.
- Phi-4 has downloadable open weights; the other is API-only.
Side by side
| Muse Spark 1.2 | Phi-4 | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 50.3 | 31.2 |
| Released | 2026-08-05 | 2024-12-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 131K | 4K |
| Input $ / M tokens | $1.25 | $0.07 |
| Output $ / M tokens | $4.25 | $0.14 |
| Results tracked | 31 | 37 |
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Category by category
Coding Muse Spark 1.2 leads
Muse Spark 1.2: 49.2 (#51), Phi-4: 34.4 (#239)
| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Coding | 1495 | 1231 |
| DeepSWE | 54.9% | — |
| LMArena WebDev | 1533 | — |
| FrontierSWE | 12% | — |
| SciCode | 56.4% | — |
| WeirdML | 60.3% | — |
| BigCodeBench Instruct | — | 45.5% |
| LiveBench Coding | — | 30.7% |
| BigCodeBench Complete | — | 55.4% |
Agentic & Tool Use Muse Spark 1.2 leads
Muse Spark 1.2: 29.4 (#87), Phi-4: 22.8 (#128)
| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| APEX-Agents | 36.4% | — |
| Berkeley Function Calling Leaderboard | — | 28.8% |
| BALROG | — | 11.6% |
| GDP.pdf | 16% | — |
Reasoning Muse Spark 1.2 leads
Muse Spark 1.2: 51.3 (#34), Phi-4: 17.7 (#291)
| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Hard Prompts | 1486 | 1220 |
| Epoch Capabilities Index | 154.87 | 130.42 |
| SimpleBench | 74.5% | — |
| NYT Connections (extended) | 79.2% | — |
| CritPt | 17.7% | — |
| Chess Puzzles | — | 1% |
| LiveBench Reasoning | — | 47.8% |
| DTBench | 94.7% | — |
| LiveBench Data Analysis | — | 45.2% |
| LMCA | 48.4% | — |
| LiveBench | — | 41.6% |
Math Muse Spark 1.2 leads
Muse Spark 1.2: 46.4 (#70), Phi-4: 20.8 (#285)
| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Math | 1471 | 1246 |
| OTIS Mock AIME 2024-2025 | — | 13.8% |
| ProofBench | 43% | — |
| LiveBench Math | — | 42% |
| MATH Level 5 | — | 64.9% |
Knowledge Muse Spark 1.2 leads
Muse Spark 1.2: 54.1 (#53), Phi-4: 32.6 (#209)
| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Expert | 1480 | 1203 |
| GPQA Diamond | — | 56.1% |
| SimpleQA Verified | 60.3% | — |
| Confabulations | — | 29.4% |
| Vectara Hallucination Rate | — | 3.7% |
| MMLU | — | 84.8% |
Multimodal Not comparable
Muse Spark 1.2: 43.4 (#25), Phi-4: —
| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Vision | 1305 | — |
Multilingual Muse Spark 1.2 leads
Muse Spark 1.2: 57.1 (#11), Phi-4: 37.2 (#237)
| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Non-English | 1478 | 1197 |
| LMArena Chinese | 1511 | 1212 |
| LMArena French | 1513 | 1224 |
| LMArena Russian | 1487 | 1209 |
| LMArena Spanish | 1498 | 1234 |
| LMArena German | — | 1222 |
| LMArena Japanese | — | 1158 |
| LMArena Korean | — | 1151 |
Instruction Following Muse Spark 1.2 leads
Muse Spark 1.2: 76.7 (#36), Phi-4: 60.4 (#251)
| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Instruction Following | 1461 | 1201 |
| LiveBench Instruction Following | — | 58.4% |
Long Context Muse Spark 1.2 leads
Muse Spark 1.2: 45.2 (#48), Phi-4: 36.9 (#226)
| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Longer Query | 1475 | 1217 |
Writing & Preference Muse Spark 1.2 leads
Muse Spark 1.2: 72.3 (#14), Phi-4: 40.5 (#244)
| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Text | 1482 | 1217 |
| LMArena Creative Writing | 1449 | 1182 |
| LMArena Multi-Turn | 1494 | 1206 |
| Short-Story Creative Writing | — | 62.6% |
| EQ-Bench Creative Writing | 1840 | — |
| LiveBench Language | — | 25.6% |
Frequently asked questions
Is Muse Spark 1.2 better than Phi-4?
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 31.2 on the Noometry Index. Phi-4 costs 23× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.
Which is cheaper, Muse Spark 1.2 or Phi-4?
Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.
Is Muse Spark 1.2 or Phi-4 better for coding?
Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.2 does, with 1.05M tokens against 128K.
How many benchmarks do Muse Spark 1.2 and Phi-4 share?
15 benchmarks have published results for both models. Muse Spark 1.2 has 31 scored results on Noometry and Phi-4 has 37.