# GPT-4.1 mini vs Muse Spark

> Muse Spark is the stronger model overall, scoring 50.6 to 33.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-mini-vs-muse-spark
- Last updated: 2026-10-10
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. GPT-4.1 mini scores higher in 0 categories and Muse Spark in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 34.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 44.7% for GPT-4.1 mini and 88.9% for Muse Spark.

## Snapshot

| | GPT-4.1 mini | Muse Spark |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 33.6 | 50.6 |
| Rank | 240 | 46 |
| Context | 1.05M | — |
| Input $/M | $0.40 | — |
| Output $/M | $1.60 | — |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-4.1 mini: 30.6 (#293)
- Muse Spark: 46.2 (#69)

| Benchmark | GPT-4.1 mini | Muse Spark |
|---|---|---|
| SciCode | 40.4% | 51.5% |
| LMArena Coding | 1367 | 1481 |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |

## Agentic & Tool Use

- GPT-4.1 mini: 33.3 (#55)
- Muse Spark: —

| Benchmark | GPT-4.1 mini | Muse Spark |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |

## Reasoning

- GPT-4.1 mini: 10.8 (#340)
- Muse Spark: 35.9 (#67)

| Benchmark | GPT-4.1 mini | Muse Spark |
|---|---|---|
| CritPt | 0% | 11.3% |
| LMArena Hard Prompts | 1349 | 1474 |
| Epoch Capabilities Index | 135.01 | 152.04 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| Chess Puzzles | 7% | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |

## Math

- GPT-4.1 mini: 24.1 (#270)
- Muse Spark: 47.8 (#66)

| Benchmark | GPT-4.1 mini | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 44.7% | 88.9% |
| LMArena Math | 1343 | 1455 |
| FrontierMath (Feb 2025 set) | 4.5% | 39% |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| ProofBench | — | 17% |
| Omni-MATH | 49.1% | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- GPT-4.1 mini: 34.7 (#194)
- Muse Spark: 65.7 (#13)

| Benchmark | GPT-4.1 mini | Muse Spark |
|---|---|---|
| GPQA Diamond | 65.8% | 89.8% |
| LMArena Expert | 1338 | 1457 |
| Humanity's Last Exam | — | 40.6% |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |

## Multimodal

- GPT-4.1 mini: 35.8 (#82)
- Muse Spark: 43.4 (#24)

| Benchmark | GPT-4.1 mini | Muse Spark |
|---|---|---|
| LMArena Vision | 1181 | 1306 |
| LMArena Document | — | 1444 |

## Multilingual

- GPT-4.1 mini: 45.7 (#166)
- Muse Spark: 56.1 (#24)

| Benchmark | GPT-4.1 mini | Muse Spark |
|---|---|---|
| LMArena Non-English | 1318 | 1464 |
| LMArena Chinese | 1329 | 1509 |
| LMArena French | 1358 | 1497 |
| LMArena German | 1351 | 1497 |
| LMArena Korean | 1298 | 1459 |
| LMArena Russian | 1324 | 1466 |
| LMArena Spanish | 1319 | 1472 |
| LMArena Japanese | 1290 | — |

## Instruction Following

- GPT-4.1 mini: 73.7 (#118)
- Muse Spark: 75.9 (#51)

| Benchmark | GPT-4.1 mini | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1333 | 1442 |
| IFEval | 90.4% | — |

## Long Context

- GPT-4.1 mini: 31.8 (#275)
- Muse Spark: 44.4 (#69)

| Benchmark | GPT-4.1 mini | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1344 | 1451 |
| Fiction.LiveBench | 44.4% | — |

## Writing & Preference

- GPT-4.1 mini: 48.6 (#199)
- Muse Spark: 66.0 (#39)

| Benchmark | GPT-4.1 mini | Muse Spark |
|---|---|---|
| LMArena Text | 1340 | 1474 |
| LMArena Creative Writing | 1300 | 1459 |
| LMArena Multi-Turn | 1354 | 1477 |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |

## FAQ

### Is GPT-4.1 mini better than Muse Spark?

Muse Spark is the stronger model overall, scoring 50.6 to 33.6 on the Noometry Index.

### Is GPT-4.1 mini or Muse Spark better for coding?

Muse Spark scores higher on coding benchmarks: 46.2 versus 30.6 in the Noometry coding category.

### How many benchmarks do GPT-4.1 mini and Muse Spark share?

23 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Muse Spark has 27.