# GPT-6 Sol vs Muse Spark 1.3

> Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 49.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-6-sol-vs-muse-spark-1-3
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-6 Sol scores higher in 3 categories and Muse Spark 1.3 in 7 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 72.4 to 35.8.
- The biggest single-benchmark swing is NYT Connections (extended): 90.1% for GPT-6 Sol and 85.1% for Muse Spark 1.3.
- Muse Spark 1.3 is cheaper at $1.25 / $4.25 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 1.05M.

## Snapshot

| | GPT-6 Sol | Muse Spark 1.3 |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 49.2 | 54.4 |
| Rank | 46 | 27 |
| Context | 1.05M | 1.05M |
| Input $/M | $2 | $1.25 |
| Output $/M | $10 | $4.25 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-6 Sol: 59.6 (#11)
- Muse Spark 1.3: 56.1 (#18)

| Benchmark | GPT-6 Sol | Muse Spark 1.3 |
|---|---|---|
| LMArena WebDev | 1692 | 1655 |
| LMArena Coding | 1453 | 1516 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| CursorBench | — | 41.6% |
| SciCode | — | 59.7% |

## Agentic & Tool Use

- GPT-6 Sol: 33.5 (#49)
- Muse Spark 1.3: 38.6 (#28)

| Benchmark | GPT-6 Sol | Muse Spark 1.3 |
|---|---|---|
| GDP.pdf | 28% | 27.6% |
| APEX-Agents | — | 57.8% |

## Reasoning

- GPT-6 Sol: 49.3 (#34)
- Muse Spark 1.3: 52.9 (#27)

| Benchmark | GPT-6 Sol | Muse Spark 1.3 |
|---|---|---|
| NYT Connections (extended) | 90.1% | 85.1% |
| LMArena Hard Prompts | 1420 | 1503 |
| CritPt | — | 24.9% |
| Chess Puzzles | — | 38% |
| EBR-Bench | 53.3% | — |
| Mystery Game Puzzles | — | 25% |
| DTBench | — | 96.5% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |
| Epoch Capabilities Index | — | 156.89 |

## Math

- GPT-6 Sol: 35.8 (#135)
- Muse Spark 1.3: 72.4 (#16)

| Benchmark | GPT-6 Sol | Muse Spark 1.3 |
|---|---|---|
| LMArena Math | 1404 | 1497 |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 99.2% |

## Knowledge

- GPT-6 Sol: 43.0 (#87)
- Muse Spark 1.3: 42.0 (#92)

| Benchmark | GPT-6 Sol | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | 1449 | 1516 |
| Vectara Hallucination Rate | 6.5% | — |

## Multimodal

- GPT-6 Sol: 47.6 (#9)
- Muse Spark 1.3: 43.0 (#21)

| Benchmark | GPT-6 Sol | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1310 |
| Furniture Assembly | 58.3% | — |
| LMArena Document | — | 1471 |

## Multilingual

- GPT-6 Sol: 51.0 (#113)
- Muse Spark 1.3: 57.8 (#6)

| Benchmark | GPT-6 Sol | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 1389 | 1485 |
| LMArena Chinese | 1416 | 1527 |
| LMArena Russian | 1407 | 1491 |
| LMArena Spanish | 1377 | 1485 |
| LMArena French | — | 1534 |
| LMArena Korean | — | 1513 |

## Instruction Following

- GPT-6 Sol: 74.4 (#97)
- Muse Spark 1.3: 77.8 (#14)

| Benchmark | GPT-6 Sol | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1406 | 1481 |

## Long Context

- GPT-6 Sol: 43.2 (#100)
- Muse Spark 1.3: 45.7 (#29)

| Benchmark | GPT-6 Sol | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 1415 | 1491 |

## Writing & Preference

- GPT-6 Sol: 72.3 (#15)
- Muse Spark 1.3: 73.7 (#10)

| Benchmark | GPT-6 Sol | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1396 | 1490 |
| LMArena Creative Writing | 1392 | 1450 |
| EQ-Bench Creative Writing | 2125 | 1906 |
| LMArena Multi-Turn | 1405 | 1486 |

## FAQ

### Is GPT-6 Sol better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 49.2 on the Noometry Index.

### Which is cheaper, GPT-6 Sol or Muse Spark 1.3?

Muse Spark 1.3 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; GPT-6 Sol lists at $2 and $10.

### Is GPT-6 Sol or Muse Spark 1.3 better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 56.1 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 1.05M.

### How many benchmarks do GPT-6 Sol and Muse Spark 1.3 share?

17 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Muse Spark 1.3 has 34.