Model comparison
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.
Last verified . 13 shared benchmarks.
Meta
Alibaba (Qwen)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.
Side by side
| Muse Spark 1.2 | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 49.8 | 37.7 |
| Released | 2026-08-05 | 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 | 28 | 25 |
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Category by category
Coding Muse Spark 1.2 leads
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 leads
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 leads
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 leads
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 leads
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 Not comparable
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 leads
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 leads
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 leads
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 leads
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 | — |
Frequently asked questions
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.