# Muse Spark 1.3 vs Qwen3-Coder 480B-A35B Instruct

> Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 37.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/muse-spark-1-3-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. Muse Spark 1.3 scores higher in 9 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 72.4 to 34.9.
- Muse Spark 1.3 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Muse Spark 1.3 accepts more context: 1.05M tokens versus 262K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 54.4 | 37.7 |
| Rank | 27 | 186 |
| Context | 1.05M | 262K |
| Input $/M | $1.25 | $1.50 |
| Output $/M | $4.25 | $7.50 |
| Weights | Proprietary | Open |

## Coding

- Muse Spark 1.3: 56.1 (#18)
- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1655 | 1275 |
| LMArena Coding | 1516 | 1413 |
| SWE-bench Verified (bash only) | — | 55.4% |
| CursorBench | 41.6% | — |
| SciCode | 59.7% | — |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |

## Agentic & Tool Use

- Muse Spark 1.3: 38.6 (#28)
- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| APEX-Agents | 57.8% | — |
| GDP.pdf | 27.6% | — |

## Reasoning

- Muse Spark 1.3: 52.9 (#27)
- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1503 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| NYT Connections (extended) | 85.1% | — |
| CritPt | 24.9% | — |
| Chess Puzzles | 38% | — |
| Mystery Game Puzzles | 25% | — |
| DTBench | 96.5% | — |
| LMCA | 53.9% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 156.89 | — |

## Math

- Muse Spark 1.3: 72.4 (#16)
- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1497 | 1364 |
| FrontierMath (Tiers 1-3) | 74.4% | — |
| FrontierMath Tier 4 | 46.3% | — |
| OTIS Mock AIME 2024-2025 | 99.2% | — |

## Knowledge

- Muse Spark 1.3: 42.0 (#92)
- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1516 | 1337 |

## Multimodal

- Muse Spark 1.3: 43.0 (#21)
- Qwen3-Coder 480B-A35B Instruct: —

| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1310 | — |
| LMArena Document | 1471 | — |

## Multilingual

- Muse Spark 1.3: 57.8 (#6)
- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1485 | 1345 |
| LMArena Chinese | 1527 | 1356 |
| LMArena French | 1534 | 1394 |
| LMArena Korean | 1513 | 1307 |
| LMArena Russian | 1491 | 1367 |
| LMArena Spanish | 1485 | 1360 |
| LMArena German | — | 1324 |
| LMArena Japanese | — | 1309 |

## Instruction Following

- Muse Spark 1.3: 77.8 (#14)
- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1481 | 1356 |

## Long Context

- Muse Spark 1.3: 45.7 (#29)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1491 | 1379 |

## Writing & Preference

- Muse Spark 1.3: 73.7 (#10)
- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1490 | 1356 |
| LMArena Creative Writing | 1450 | 1333 |
| LMArena Multi-Turn | 1486 | 1365 |
| EQ-Bench Creative Writing | 1906 | — |

## FAQ

### Is Muse Spark 1.3 better than Qwen3-Coder 480B-A35B Instruct?

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 37.7 on the Noometry Index.

### Which is cheaper, Muse Spark 1.3 or Qwen3-Coder 480B-A35B Instruct?

Muse Spark 1.3 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.

### Is Muse Spark 1.3 or Qwen3-Coder 480B-A35B Instruct better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.1 versus 36.2 in the Noometry coding category.

### Which has the bigger context window?

Muse Spark 1.3 does, with 1.05M tokens against 262K.

### How many benchmarks do Muse Spark 1.3 and Qwen3-Coder 480B-A35B Instruct share?

16 benchmarks have published results for both models. Muse Spark 1.3 has 34 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.