Model comparison
Muse Spark 1.3 vs Qwen3.6 27B
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 42.2 on the Noometry Index.
Last verified . 9 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 9 benchmarks with published results for both. Muse Spark 1.3 scores higher in 4 categories and Qwen3.6 27B in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.3 leads 54.0 to 25.0.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 74.4% for Muse Spark 1.3 and 35.1% for Qwen3.6 27B.
- Qwen3.6 27B is cheaper at $0.60 / $3.60 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 262K.
- Qwen3.6 27B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark 1.3 | Qwen3.6 27B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 54.8 | 42.2 |
| Released | 2026-09-02 | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $1.25 | $0.60 |
| Output $ / M tokens | $4.25 | $3.60 |
| Results tracked | 37 | 11 |
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Category by category
Coding Muse Spark 1.3 leads
Muse Spark 1.3: 56.6 (#21), Qwen3.6 27B: 39.1 (#163)
| Benchmark | Muse Spark 1.3 | Qwen3.6 27B |
|---|---|---|
| SciCode | 59.7% | 37.3% |
| CursorBench | 41.6% | — |
| LMArena WebDev | 1657 | — |
| LMArena Coding | 1514 | — |
Agentic & Tool Use Not comparable
Muse Spark 1.3: 38.6 (#30), Qwen3.6 27B: —
| Benchmark | Muse Spark 1.3 | Qwen3.6 27B |
|---|---|---|
| APEX-Agents | 57.8% | — |
| GDP.pdf | 27.6% | — |
Reasoning Muse Spark 1.3 leads
Muse Spark 1.3: 54.0 (#27), Qwen3.6 27B: 25.0 (#153)
| Benchmark | Muse Spark 1.3 | Qwen3.6 27B |
|---|---|---|
| CritPt | 26% | 0.9% |
| Chess Puzzles | 38% | 22% |
| Mystery Game Puzzles | 25% | 7% |
| DTBench | 96.5% | 78.1% |
| LMCA | 53.9% | 34.5% |
| Epoch Capabilities Index | 156.75 | 146.5 |
| NYT Connections (extended) | 85.1% | — |
| LMArena Hard Prompts | 1503 | — |
| Bench to the Future 3 | 0.14 | — |
Math Muse Spark 1.3 leads
Muse Spark 1.3: 73.1 (#21), Qwen3.6 27B: 48.5 (#62)
| Benchmark | Muse Spark 1.3 | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74.4% | 35.1% |
| OTIS Mock AIME 2024-2025 | 99.2% | 91.1% |
| FrontierMath Tier 4 | 46.3% | — |
| ProofBench | 58% | — |
| LMArena Math | 1494 | — |
Knowledge Qwen3.6 27B leads
Muse Spark 1.3: 42.6 (#95), Qwen3.6 27B: 52.4 (#63)
| Benchmark | Muse Spark 1.3 | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | — | 85.9% |
| LMArena Expert | 1516 | — |
Multimodal Not comparable
Muse Spark 1.3: 43.7 (#22), Qwen3.6 27B: —
| Benchmark | Muse Spark 1.3 | Qwen3.6 27B |
|---|---|---|
| LMArena Vision | 1309 | — |
| LMArena Document | 1471 | — |
Multilingual Not comparable
Muse Spark 1.3: 57.4 (#8), Qwen3.6 27B: —
| Benchmark | Muse Spark 1.3 | Qwen3.6 27B |
|---|---|---|
| LMArena Non-English | 1481 | — |
| LMArena Chinese | 1529 | — |
| LMArena French | 1524 | — |
| LMArena German | 1515 | — |
| LMArena Japanese | 1474 | — |
| LMArena Korean | 1501 | — |
| LMArena Russian | 1490 | — |
| LMArena Spanish | 1490 | — |
Instruction Following Not comparable
Muse Spark 1.3: 77.5 (#22), Qwen3.6 27B: —
| Benchmark | Muse Spark 1.3 | Qwen3.6 27B |
|---|---|---|
| LMArena Instruction Following | 1477 | — |
Long Context Not comparable
Muse Spark 1.3: 45.6 (#32), Qwen3.6 27B: —
| Benchmark | Muse Spark 1.3 | Qwen3.6 27B |
|---|---|---|
| LMArena Longer Query | 1488 | — |
Writing & Preference Muse Spark 1.3 leads
Muse Spark 1.3: 73.6 (#9), Qwen3.6 27B: 50.3 (#181)
| Benchmark | Muse Spark 1.3 | Qwen3.6 27B |
|---|---|---|
| LMArena Text | 1490 | — |
| LMArena Creative Writing | 1455 | — |
| EQ-Bench Creative Writing | 1906 | — |
| EQ-Bench 4 | — | 1026 |
| LMArena Multi-Turn | 1482 | — |
Frequently asked questions
Is Muse Spark 1.3 better than Qwen3.6 27B?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 42.2 on the Noometry Index.
Which is cheaper, Muse Spark 1.3 or Qwen3.6 27B?
Qwen3.6 27B is cheaper. It lists at $0.60 per million input tokens and $3.60 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.
Is Muse Spark 1.3 or Qwen3.6 27B better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 39.1 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 Qwen3.6 27B share?
9 benchmarks have published results for both models. Muse Spark 1.3 has 37 scored results on Noometry and Qwen3.6 27B has 11.