# GPT-5.1 vs Muse Spark 1.1

> GPT-5.1 and Muse Spark 1.1 score almost the same on the Noometry Index (49.0 vs 49.9), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gpt-5-1-vs-muse-spark-1-1
- Last updated: 2026-10-10
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. GPT-5.1 scores higher in 5 categories and Muse Spark 1.1 in 5 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Muse Spark 1.1 leads 73.4 to 64.5.
- The biggest single-benchmark swing is SciCode: 43.3% for GPT-5.1 and 58.8% for Muse Spark 1.1.
- Muse Spark 1.1 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.25 / $10 for GPT-5.1.
- Muse Spark 1.1 accepts more context: 1.05M tokens versus 400K.

## Snapshot

| | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 49.0 | 49.9 |
| Rank | 53 | 51 |
| Context | 400K | 1.05M |
| Input $/M | $1.25 | $1.25 |
| Output $/M | $10 | $4.25 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-5.1: 46.4 (#66)
- Muse Spark 1.1: 51.3 (#40)

| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| LMArena WebDev | 1395 | 1542 |
| SciCode | 43.3% | 58.8% |
| LMArena Coding | 1454 | 1498 |
| SWE-bench Verified | 68% | — |
| DeepSWE | — | 53.3% |
| SWE-bench Verified (bash only) | 66% | — |
| GSO | 13.7% | — |
| WeirdML | 60.8% | — |
| LiveBench Coding | 72.5% | — |
| ALE-Bench | 1,192 | — |

## Agentic & Tool Use

- GPT-5.1: 32.7 (#60)
- Muse Spark 1.1: 30.8 (#73)

| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| Vending-Bench 2 | 1,473 | 6,520 |
| Terminal-Bench | 47.6% | — |
| APEX-Agents | — | 31.8% |
| τ²-bench Banking | — | 40.5% |
| DeepResearch Bench | 42.8% | — |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| LMArena Search | 1199 | — |

## Reasoning

- GPT-5.1: 39.8 (#58)
- Muse Spark 1.1: 47.1 (#44)

| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| CritPt | 4.9% | 15.1% |
| LMArena Hard Prompts | 1457 | 1486 |
| DTBench | 90.1% | 94.4% |
| LMCA | 43.9% | 49.9% |
| Epoch Capabilities Index | 149.64 | 154.21 |
| ARC-AGI-2 | 17.6% | — |
| SimpleBench | 53.2% | — |
| NYT Connections (extended) | — | 84.9% |
| ARC-AGI-1 | 72.8% | — |
| Chess Puzzles | 32% | — |
| EnigmaEval | 11.2% | — |
| LiveBench Reasoning | 95.8% | — |
| Mystery Game Puzzles | 19% | — |
| LiveBench Data Analysis | 72.1% | — |
| Surface Evolver Bench | — | 52.5% |
| ForecastBench | 58.1 | — |
| LiveBench | 78.8% | — |

## Math

- GPT-5.1: 52.2 (#51)
- Muse Spark 1.1: 45.5 (#76)

| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| LMArena Math | 1447 | 1483 |
| OTIS Mock AIME 2024-2025 | 88.6% | — |
| ProofBench | — | 39% |
| Omni-MATH | 46.4% | — |
| LiveBench Math | 94.5% | — |
| FrontierMath (Feb 2025 set) | 31% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |

## Knowledge

- GPT-5.1: 50.6 (#71)
- Muse Spark 1.1: 53.1 (#59)

| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| SimpleQA Verified | 48% | 57.8% |
| LMArena Expert | 1470 | 1478 |
| GPQA Diamond | 87.6% | — |
| Humanity's Last Exam | 23.7% | — |
| MMLU-Pro | 57.9% | — |
| Vectara Hallucination Rate | 10.9% | — |
| GPQA (HELM) | 44.2% | — |

## Multimodal

- GPT-5.1: 44.8 (#19)
- Muse Spark 1.1: 42.6 (#29)

| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | 1250 | 1293 |
| LMArena Document | 1403 | 1465 |
| VPCT | 58.7% | — |

## Multilingual

- GPT-5.1: 53.8 (#56)
- Muse Spark 1.1: 56.7 (#17)

| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 1431 | 1472 |
| LMArena Chinese | 1495 | 1518 |
| LMArena French | 1450 | 1494 |
| LMArena German | 1438 | 1466 |
| LMArena Japanese | 1453 | 1451 |
| LMArena Korean | 1401 | 1458 |
| LMArena Russian | 1435 | 1483 |
| LMArena Spanish | 1433 | 1464 |

## Instruction Following

- GPT-5.1: 83.9 (#1)
- Muse Spark 1.1: 76.5 (#39)

| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1443 | 1457 |
| LiveBench Instruction Following | 93.3% | — |
| IFEval | 93.5% | — |

## Long Context

- GPT-5.1: 47.6 (#14)
- Muse Spark 1.1: 44.8 (#58)

| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 1447 | 1462 |
| CL-bench | 23.7% | — |
| CL-bench Life | 17.3% | — |

## Writing & Preference

- GPT-5.1: 64.5 (#55)
- Muse Spark 1.1: 73.4 (#11)

| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1443 | 1479 |
| LMArena Creative Writing | 1427 | 1437 |
| LMArena Multi-Turn | 1450 | 1485 |
| EQ-Bench Creative Writing | — | 1927 |
| WildBench | 86.3% | — |
| EQ-Bench 4 | — | 1260 |
| LiveBench Language | 80.2% | — |

## FAQ

### Is GPT-5.1 better than Muse Spark 1.1?

GPT-5.1 and Muse Spark 1.1 score almost the same on the Noometry Index (49.0 vs 49.9), so choose on price, context window or the category you care about most.

### Which is cheaper, GPT-5.1 or Muse Spark 1.1?

Muse Spark 1.1 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; GPT-5.1 lists at $1.25 and $10.

### Is GPT-5.1 or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 46.4 in the Noometry coding category.

### Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 400K.

### How many benchmarks do GPT-5.1 and Muse Spark 1.1 share?

27 benchmarks have published results for both models. GPT-5.1 has 63 scored results on Noometry and Muse Spark 1.1 has 37.