Model comparison
Muse Spark 1.3 vs Qwen3-Coder 480B-A35B Instruct
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 38.1 on the Noometry Index.
Last verified . 18 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 18 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 73.1 to 37.6.
- 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.
Side by side
| Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 54.8 | 38.1 |
| Released | 2026-09-02 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $1.25 | $1.50 |
| Output $ / M tokens | $4.25 | $7.50 |
| Results tracked | 37 | 25 |
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Category by category
Coding Muse Spark 1.3 leads
Muse Spark 1.3: 56.6 (#21), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1657 | 1275 |
| LMArena Coding | 1514 | 1412 |
| 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 leads
Muse Spark 1.3: 38.6 (#30), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| 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 leads
Muse Spark 1.3: 54.0 (#27), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| 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 | 26% | — |
| Chess Puzzles | 38% | — |
| Mystery Game Puzzles | 25% | — |
| DTBench | 96.5% | — |
| LMCA | 53.9% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 156.75 | — |
Math Muse Spark 1.3 leads
Muse Spark 1.3: 73.1 (#21), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1494 | 1365 |
| FrontierMath (Tiers 1-3) | 74.4% | — |
| FrontierMath Tier 4 | 46.3% | — |
| OTIS Mock AIME 2024-2025 | 99.2% | — |
| ProofBench | 58% | — |
Knowledge Muse Spark 1.3 leads
Muse Spark 1.3: 42.6 (#95), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1516 | 1338 |
Multimodal Not comparable
Muse Spark 1.3: 43.7 (#22), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1309 | — |
| LMArena Document | 1471 | — |
Multilingual Muse Spark 1.3 leads
Muse Spark 1.3: 57.4 (#8), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1481 | 1346 |
| LMArena Chinese | 1529 | 1357 |
| LMArena French | 1524 | 1398 |
| LMArena German | 1515 | 1325 |
| LMArena Japanese | 1474 | 1310 |
| LMArena Korean | 1501 | 1305 |
| LMArena Russian | 1490 | 1366 |
| LMArena Spanish | 1490 | 1360 |
Instruction Following Muse Spark 1.3 leads
Muse Spark 1.3: 77.5 (#22), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1477 | 1355 |
Long Context Muse Spark 1.3 leads
Muse Spark 1.3: 45.6 (#32), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1488 | 1378 |
Writing & Preference Muse Spark 1.3 leads
Muse Spark 1.3: 73.6 (#9), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Muse Spark 1.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1490 | 1357 |
| LMArena Creative Writing | 1455 | 1333 |
| LMArena Multi-Turn | 1482 | 1365 |
| EQ-Bench Creative Writing | 1906 | — |
Frequently asked questions
Is Muse Spark 1.3 better than Qwen3-Coder 480B-A35B Instruct?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 38.1 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: 56.6 versus 35.5 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?
18 benchmarks have published results for both models. Muse Spark 1.3 has 37 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.