Model comparison
Muse Spark 1.2 vs Qwen3-4B
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 19.2.
- Qwen3-4B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark 1.2 | Qwen3-4B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 50.3 | 31.9 |
| Released | 2026-08-05 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $4.25 | — |
| Results tracked | 31 | 6 |
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Category by category
Coding Not comparable
Muse Spark 1.2: 49.2 (#51), Qwen3-4B: —
| Benchmark | Muse Spark 1.2 | Qwen3-4B |
|---|---|---|
| DeepSWE | 54.9% | — |
| LMArena WebDev | 1533 | — |
| FrontierSWE | 12% | — |
| SciCode | 56.4% | — |
| WeirdML | 60.3% | — |
| LMArena Coding | 1495 | — |
Agentic & Tool Use Muse Spark 1.2 leads
Muse Spark 1.2: 29.4 (#87), Qwen3-4B: 27.6 (#100)
| Benchmark | Muse Spark 1.2 | Qwen3-4B |
|---|---|---|
| APEX-Agents | 36.4% | — |
| Berkeley Function Calling Leaderboard | — | 35.7% |
| GDP.pdf | 16% | — |
Reasoning Muse Spark 1.2 leads
Muse Spark 1.2: 51.3 (#34), Qwen3-4B: 19.2 (#268)
| Benchmark | Muse Spark 1.2 | Qwen3-4B |
|---|---|---|
| SimpleBench | 74.5% | — |
| NYT Connections (extended) | 79.2% | — |
| CritPt | 17.7% | — |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1486 | — |
| DTBench | 94.7% | — |
| LMCA | 48.4% | — |
| Epoch Capabilities Index | 154.87 | — |
Math Muse Spark 1.2 leads
Muse Spark 1.2: 46.4 (#70), Qwen3-4B: 29.7 (#240)
| Benchmark | Muse Spark 1.2 | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| ProofBench | 43% | — |
| LMArena Math | 1471 | — |
Knowledge Muse Spark 1.2 leads
Muse Spark 1.2: 54.1 (#53), Qwen3-4B: 33.0 (#208)
| Benchmark | Muse Spark 1.2 | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| SimpleQA Verified | 60.3% | — |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1480 | — |
Multimodal Not comparable
Muse Spark 1.2: 43.4 (#25), Qwen3-4B: —
| Benchmark | Muse Spark 1.2 | Qwen3-4B |
|---|---|---|
| LMArena Vision | 1305 | — |
Multilingual Not comparable
Muse Spark 1.2: 57.1 (#11), Qwen3-4B: —
| Benchmark | Muse Spark 1.2 | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1478 | — |
| LMArena Chinese | 1511 | — |
| LMArena French | 1513 | — |
| LMArena Russian | 1487 | — |
| LMArena Spanish | 1498 | — |
Instruction Following Not comparable
Muse Spark 1.2: 76.7 (#36), Qwen3-4B: —
| Benchmark | Muse Spark 1.2 | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1461 | — |
Long Context Not comparable
Muse Spark 1.2: 45.2 (#48), Qwen3-4B: —
| Benchmark | Muse Spark 1.2 | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1475 | — |
Writing & Preference Not comparable
Muse Spark 1.2: 72.3 (#14), Qwen3-4B: —
| Benchmark | Muse Spark 1.2 | Qwen3-4B |
|---|---|---|
| LMArena Text | 1482 | — |
| LMArena Creative Writing | 1449 | — |
| EQ-Bench Creative Writing | 1840 | — |
| LMArena Multi-Turn | 1494 | — |
Frequently asked questions
Is Muse Spark 1.2 better than Qwen3-4B?
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 31.9 on the Noometry Index.
How many benchmarks do Muse Spark 1.2 and Qwen3-4B share?
0 benchmarks have published results for both models. Muse Spark 1.2 has 31 scored results on Noometry and Qwen3-4B has 6.