# Muse Spark 1.2 vs Qwen3-Coder 480B-A35B Instruct

> Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 37.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/muse-spark-1-2-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Muse Spark 1.2 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 reasoning, where Muse Spark 1.2 leads 50.4 to 24.7.
- The biggest single-benchmark swing is WeirdML: 60.3% for Muse Spark 1.2 and 41.2% for Qwen3-Coder 480B-A35B Instruct.
- Muse Spark 1.2 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 1.2 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 1.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 49.8 | 37.7 |
| Rank | 44 | 186 |
| Context | 1.05M | 262K |
| Input $/M | $1.25 | $1.50 |
| Output $/M | $4.25 | $7.50 |
| Weights | Proprietary | Open |

## Coding

- Muse Spark 1.2: 48.6 (#49)
- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

| Benchmark | Muse Spark 1.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1532 | 1275 |
| WeirdML | 60.3% | 41.2% |
| LMArena Coding | 1497 | 1413 |
| DeepSWE | 54.9% | — |
| SWE-bench Verified (bash only) | — | 55.4% |
| FrontierSWE | 12% | — |
| SciCode | 56.4% | — |
| GSO | — | 4.9% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |

## Agentic & Tool Use

- Muse Spark 1.2: 29.5 (#77)
- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

| Benchmark | Muse Spark 1.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| APEX-Agents | 36.4% | — |
| GDP.pdf | 16% | — |

## Reasoning

- Muse Spark 1.2: 50.4 (#32)
- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

| Benchmark | Muse Spark 1.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1490 | 1372 |
| SimpleBench | 74.5% | — |
| Kagi LLM Benchmark | — | 49.5% |
| NYT Connections (extended) | 79.2% | — |
| CritPt | 17.7% | — |
| DTBench | 94.7% | — |
| LMCA | 48.4% | — |
| Epoch Capabilities Index | 155.18 | — |

## Math

- Muse Spark 1.2: 43.8 (#68)
- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

| Benchmark | Muse Spark 1.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| ProofBench | 43% | — |
| LMArena Math | — | 1364 |

## Knowledge

- Muse Spark 1.2: 53.9 (#49)
- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

| Benchmark | Muse Spark 1.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1485 | 1337 |
| SimpleQA Verified | 60.3% | — |

## Multimodal

- Muse Spark 1.2: 42.6 (#24)
- Qwen3-Coder 480B-A35B Instruct: —

| Benchmark | Muse Spark 1.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1304 | — |

## Multilingual

- Muse Spark 1.2: 57.4 (#10)
- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

| Benchmark | Muse Spark 1.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1479 | 1345 |
| LMArena Chinese | 1519 | 1356 |
| LMArena Russian | 1494 | 1367 |
| LMArena French | — | 1394 |
| LMArena German | — | 1324 |
| LMArena Japanese | — | 1309 |
| LMArena Korean | — | 1307 |
| LMArena Spanish | — | 1360 |

## Instruction Following

- Muse Spark 1.2: 77.1 (#30)
- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

| Benchmark | Muse Spark 1.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1466 | 1356 |

## Long Context

- Muse Spark 1.2: 45.4 (#35)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

| Benchmark | Muse Spark 1.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1483 | 1379 |

## Writing & Preference

- Muse Spark 1.2: 72.6 (#14)
- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

| Benchmark | Muse Spark 1.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1486 | 1356 |
| LMArena Creative Writing | 1444 | 1333 |
| LMArena Multi-Turn | 1504 | 1365 |
| EQ-Bench Creative Writing | 1840 | — |

## FAQ

### Is Muse Spark 1.2 better than Qwen3-Coder 480B-A35B Instruct?

Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 37.7 on the Noometry Index.

### Which is cheaper, Muse Spark 1.2 or Qwen3-Coder 480B-A35B Instruct?

Muse Spark 1.2 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 1.2 or Qwen3-Coder 480B-A35B Instruct better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 48.6 versus 36.2 in the Noometry coding category.

### Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 262K.

### How many benchmarks do Muse Spark 1.2 and Qwen3-Coder 480B-A35B Instruct share?

13 benchmarks have published results for both models. Muse Spark 1.2 has 28 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.