# GPT-4.1 vs Muse Spark

> Muse Spark is the stronger model overall, scoring 50.6 to 35.9 on the Noometry Index.

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

## Summary

- They share 23 benchmarks with published results for both. GPT-4.1 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 37.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 38.3% for GPT-4.1 and 88.9% for Muse Spark.

## Snapshot

| | GPT-4.1 | Muse Spark |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 35.9 | 50.6 |
| Rank | 219 | 46 |
| Context | 1.05M | — |
| Input $/M | $2 | — |
| Output $/M | $8 | — |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-4.1: 34.4 (#238)
- Muse Spark: 46.2 (#69)

| Benchmark | GPT-4.1 | Muse Spark |
|---|---|---|
| LMArena Coding | 1391 | 1481 |
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| SciCode | — | 51.5% |
| WeirdML | 39% | — |
| CadEval | 42% | — |
| ALE-Bench | 558.1 | — |

## Agentic & Tool Use

- GPT-4.1: 34.7 (#43)
- Muse Spark: —

| Benchmark | GPT-4.1 | Muse Spark |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |

## Reasoning

- GPT-4.1: 11.7 (#339)
- Muse Spark: 35.9 (#67)

| Benchmark | GPT-4.1 | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1474 |
| Epoch Capabilities Index | 136.78 | 152.04 |
| ARC-AGI-2 | 0.4% | — |
| SimpleBench | 27% | — |
| Kagi LLM Benchmark | 52.3% | — |
| ARC-AGI-1 | 5.5% | — |
| CritPt | — | 11.3% |
| Chess Puzzles | 6% | — |
| EnigmaEval | 2.2% | — |
| DTBench | 68.3% | — |
| LMCA | 25.6% | — |
| ForecastBench | 61.5 | — |

## Math

- GPT-4.1: 22.3 (#280)
- Muse Spark: 47.8 (#66)

| Benchmark | GPT-4.1 | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 38.3% | 88.9% |
| LMArena Math | 1370 | 1455 |
| FrontierMath (Feb 2025 set) | 5.5% | 39% |
| FrontierMath Tier 4 (v1) | 0% | 14.6% |
| FrontierMath (Tiers 1-3) | 6% | — |
| ProofBench | — | 17% |
| Omni-MATH | 47.1% | — |
| MATH Level 5 | 83% | — |

## Knowledge

- GPT-4.1: 37.1 (#160)
- Muse Spark: 65.7 (#13)

| Benchmark | GPT-4.1 | Muse Spark |
|---|---|---|
| GPQA Diamond | 66.9% | 89.8% |
| Humanity's Last Exam | 5.4% | 40.6% |
| LMArena Expert | 1364 | 1457 |
| SimpleQA Verified | 31.1% | — |
| MMLU-Pro | 81.1% | — |
| Vectara Hallucination Rate | 5.6% | — |
| GPQA (HELM) | 65.9% | — |

## Multimodal

- GPT-4.1: 38.2 (#67)
- Muse Spark: 43.4 (#24)

| Benchmark | GPT-4.1 | Muse Spark |
|---|---|---|
| LMArena Vision | 1211 | 1306 |
| GeoBench | 72% | — |
| LMArena Document | — | 1444 |

## Multilingual

- GPT-4.1: 49.4 (#133)
- Muse Spark: 56.1 (#24)

| Benchmark | GPT-4.1 | Muse Spark |
|---|---|---|
| LMArena Non-English | 1370 | 1464 |
| LMArena Chinese | 1382 | 1509 |
| LMArena French | 1382 | 1497 |
| LMArena German | 1381 | 1497 |
| LMArena Korean | 1339 | 1459 |
| LMArena Russian | 1377 | 1466 |
| LMArena Spanish | 1376 | 1472 |
| LMArena Japanese | 1319 | — |

## Instruction Following

- GPT-4.1: 71.3 (#153)
- Muse Spark: 75.9 (#51)

| Benchmark | GPT-4.1 | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1367 | 1442 |
| IFEval | 83.8% | — |

## Long Context

- GPT-4.1: 40.0 (#163)
- Muse Spark: 44.4 (#69)

| Benchmark | GPT-4.1 | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1385 | 1451 |
| Fiction.LiveBench | 63.9% | — |

## Writing & Preference

- GPT-4.1: 57.6 (#125)
- Muse Spark: 66.0 (#39)

| Benchmark | GPT-4.1 | Muse Spark |
|---|---|---|
| LMArena Text | 1383 | 1474 |
| LMArena Creative Writing | 1363 | 1459 |
| LMArena Multi-Turn | 1398 | 1477 |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |

## FAQ

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

Muse Spark is the stronger model overall, scoring 50.6 to 35.9 on the Noometry Index.

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

Muse Spark scores higher on coding benchmarks: 46.2 versus 34.4 in the Noometry coding category.

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

23 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Muse Spark has 27.