Model comparison
Muse Spark 1.3 vs Qwen3 32B
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 39.2 on the Noometry Index. Qwen3 32B costs 1.6× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 20 benchmarks with published results for both. Muse Spark 1.3 scores higher in 9 categories and Qwen3 32B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.3 leads 54.0 to 20.2.
- The biggest single-benchmark swing is LMCA: 53.9% for Muse Spark 1.3 and 17.3% for Qwen3 32B.
- Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.3.
- Muse Spark 1.3 accepts more context: 1.05M tokens versus 131K.
- Qwen3 32B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark 1.3 | Qwen3 32B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 54.8 | 39.2 |
| Released | 2026-09-02 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 131K | 16K |
| Input $ / M tokens | $1.25 | $0.70 |
| Output $ / M tokens | $4.25 | $2.80 |
| Results tracked | 37 | 26 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Muse Spark 1.3 leads
Muse Spark 1.3: 56.6 (#21), Qwen3 32B: 37.7 (#190)
| Benchmark | Muse Spark 1.3 | Qwen3 32B |
|---|---|---|
| SciCode | 59.7% | 35.4% |
| LMArena Coding | 1514 | 1358 |
| Aider Polyglot | — | 40% |
| CursorBench | 41.6% | — |
| LMArena WebDev | 1657 | — |
Agentic & Tool Use Muse Spark 1.3 leads
Muse Spark 1.3: 38.6 (#30), Qwen3 32B: 32.6 (#62)
| Benchmark | Muse Spark 1.3 | Qwen3 32B |
|---|---|---|
| APEX-Agents | 57.8% | — |
| Berkeley Function Calling Leaderboard | — | 48.7% |
| GDP.pdf | 27.6% | — |
Reasoning Muse Spark 1.3 leads
Muse Spark 1.3: 54.0 (#27), Qwen3 32B: 20.2 (#241)
| Benchmark | Muse Spark 1.3 | Qwen3 32B |
|---|---|---|
| CritPt | 26% | 0.3% |
| Chess Puzzles | 38% | 5% |
| LMArena Hard Prompts | 1503 | 1334 |
| DTBench | 96.5% | 67.5% |
| LMCA | 53.9% | 17.3% |
| Epoch Capabilities Index | 156.75 | 138.51 |
| Kagi LLM Benchmark | — | 54.9% |
| NYT Connections (extended) | 85.1% | — |
| Mystery Game Puzzles | 25% | — |
| Bench to the Future 3 | 0.14 | — |
Math Muse Spark 1.3 leads
Muse Spark 1.3: 73.1 (#21), Qwen3 32B: 39.7 (#99)
| Benchmark | Muse Spark 1.3 | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 99.2% | 66.9% |
| LMArena Math | 1494 | 1399 |
| FrontierMath (Tiers 1-3) | 74.4% | — |
| FrontierMath Tier 4 | 46.3% | — |
| ProofBench | 58% | — |
Knowledge Muse Spark 1.3 leads
Muse Spark 1.3: 42.6 (#95), Qwen3 32B: 40.0 (#125)
| Benchmark | Muse Spark 1.3 | Qwen3 32B |
|---|---|---|
| LMArena Expert | 1516 | 1362 |
| GPQA Diamond | — | 65.7% |
| Vectara Hallucination Rate | — | 5.9% |
Multimodal Not comparable
Muse Spark 1.3: 43.7 (#22), Qwen3 32B: —
| Benchmark | Muse Spark 1.3 | Qwen3 32B |
|---|---|---|
| LMArena Vision | 1309 | — |
| LMArena Document | 1471 | — |
Multilingual Muse Spark 1.3 leads
Muse Spark 1.3: 57.4 (#8), Qwen3 32B: 45.6 (#167)
| Benchmark | Muse Spark 1.3 | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1481 | 1317 |
| LMArena Chinese | 1529 | 1357 |
| LMArena German | 1515 | 1341 |
| LMArena Russian | 1490 | 1311 |
| LMArena French | 1524 | — |
| LMArena Japanese | 1474 | — |
| LMArena Korean | 1501 | — |
| LMArena Spanish | 1490 | — |
Instruction Following Muse Spark 1.3 leads
Muse Spark 1.3: 77.5 (#22), Qwen3 32B: 68.9 (#179)
| Benchmark | Muse Spark 1.3 | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1477 | 1305 |
Long Context Muse Spark 1.3 leads
Muse Spark 1.3: 45.6 (#32), Qwen3 32B: 43.8 (#87)
| Benchmark | Muse Spark 1.3 | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1488 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference Muse Spark 1.3 leads
Muse Spark 1.3: 73.6 (#9), Qwen3 32B: 52.9 (#163)
| Benchmark | Muse Spark 1.3 | Qwen3 32B |
|---|---|---|
| LMArena Text | 1490 | 1340 |
| LMArena Creative Writing | 1455 | 1297 |
| LMArena Multi-Turn | 1482 | 1331 |
| EQ-Bench Creative Writing | 1906 | — |
Frequently asked questions
Is Muse Spark 1.3 better than Qwen3 32B?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 39.2 on the Noometry Index. Qwen3 32B costs 1.6× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.
Which is cheaper, Muse Spark 1.3 or Qwen3 32B?
Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.
Is Muse Spark 1.3 or Qwen3 32B better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 37.7 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.3 does, with 1.05M tokens against 131K.
How many benchmarks do Muse Spark 1.3 and Qwen3 32B share?
20 benchmarks have published results for both models. Muse Spark 1.3 has 37 scored results on Noometry and Qwen3 32B has 26.