# Muse Spark 1.2 vs Phi-4

> Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 30.9 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.

- Canonical page: https://noometry.com/compare/muse-spark-1-2-vs-phi-4
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 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 50.4 to 17.0.
- 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.

## Snapshot

| | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 49.8 | 30.9 |
| Rank | 44 | 269 |
| Context | 1.05M | 128K |
| Input $/M | $1.25 | $0.07 |
| Output $/M | $4.25 | $0.14 |
| Weights | Proprietary | Open |

## Coding

- Muse Spark 1.2: 48.6 (#49)
- Phi-4: 33.8 (#237)

| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Coding | 1497 | 1231 |
| DeepSWE | 54.9% | — |
| LMArena WebDev | 1532 | — |
| 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: 29.5 (#77)
- Phi-4: 22.6 (#120)

| 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: 50.4 (#32)
- Phi-4: 17.0 (#287)

| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Hard Prompts | 1490 | 1220 |
| Epoch Capabilities Index | 155.18 | 130.43 |
| 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: 43.8 (#68)
- Phi-4: 19.6 (#279)

| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 13.8% |
| ProofBench | 43% | — |
| LiveBench Math | — | 42% |
| LMArena Math | — | 1246 |
| MATH Level 5 | — | 64.9% |

## Knowledge

- Muse Spark 1.2: 53.9 (#49)
- Phi-4: 32.5 (#204)

| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Expert | 1485 | 1203 |
| GPQA Diamond | — | 56.1% |
| SimpleQA Verified | 60.3% | — |
| Confabulations | — | 29.4% |
| Vectara Hallucination Rate | — | 3.7% |
| MMLU | — | 84.8% |

## Multimodal

- Muse Spark 1.2: 42.6 (#24)
- Phi-4: —

| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Vision | 1304 | — |

## Multilingual

- Muse Spark 1.2: 57.4 (#10)
- Phi-4: 37.4 (#232)

| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Non-English | 1479 | 1197 |
| LMArena Chinese | 1519 | 1211 |
| LMArena Russian | 1494 | 1209 |
| LMArena French | — | 1223 |
| LMArena German | — | 1222 |
| LMArena Japanese | — | 1158 |
| LMArena Korean | — | 1151 |
| LMArena Spanish | — | 1234 |

## Instruction Following

- Muse Spark 1.2: 77.1 (#30)
- Phi-4: 60.6 (#246)

| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Instruction Following | 1466 | 1201 |
| LiveBench Instruction Following | — | 58.4% |

## Long Context

- Muse Spark 1.2: 45.4 (#35)
- Phi-4: 36.9 (#221)

| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Longer Query | 1483 | 1217 |

## Writing & Preference

- Muse Spark 1.2: 72.6 (#14)
- Phi-4: 40.7 (#239)

| Benchmark | Muse Spark 1.2 | Phi-4 |
|---|---|---|
| LMArena Text | 1486 | 1217 |
| LMArena Creative Writing | 1444 | 1182 |
| LMArena Multi-Turn | 1504 | 1206 |
| Short-Story Creative Writing | — | 62.6% |
| EQ-Bench Creative Writing | 1840 | — |
| LiveBench Language | — | 25.6% |

## FAQ

### Is Muse Spark 1.2 better than Phi-4?

Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 30.9 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: 48.6 versus 33.8 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?

12 benchmarks have published results for both models. Muse Spark 1.2 has 28 scored results on Noometry and Phi-4 has 37.