Model comparison
Muse Spark 1.3 vs Qwen3.5 122B-A10B
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 42.1 on the Noometry Index. Qwen3.5 122B-A10B costs 1.8× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.
Last verified . 25 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 25 benchmarks with published results for both. Muse Spark 1.3 scores higher in 9 categories and Qwen3.5 122B-A10B 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 39.1.
- The biggest single-benchmark swing is NYT Connections (extended): 85.1% for Muse Spark 1.3 and 51.7% for Qwen3.5 122B-A10B.
- Qwen3.5 122B-A10B is cheaper at $0.40 / $3.20 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.
- Qwen3.5 122B-A10B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark 1.3 | Qwen3.5 122B-A10B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 54.8 | 42.1 |
| Released | 2026-09-02 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $1.25 | $0.40 |
| Output $ / M tokens | $4.25 | $3.20 |
| Results tracked | 37 | 27 |
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Category by category
Coding Muse Spark 1.3 leads
Muse Spark 1.3: 56.6 (#21), Qwen3.5 122B-A10B: 39.1 (#162)
| Benchmark | Muse Spark 1.3 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena WebDev | 1657 | 1360 |
| SciCode | 59.7% | 35.6% |
| LMArena Coding | 1514 | 1436 |
| CursorBench | 41.6% | — |
Agentic & Tool Use Not comparable
Muse Spark 1.3: 38.6 (#30), Qwen3.5 122B-A10B: —
| Benchmark | Muse Spark 1.3 | Qwen3.5 122B-A10B |
|---|---|---|
| APEX-Agents | 57.8% | — |
| GDP.pdf | 27.6% | — |
Reasoning Muse Spark 1.3 leads
Muse Spark 1.3: 54.0 (#27), Qwen3.5 122B-A10B: 27.2 (#123)
| Benchmark | Muse Spark 1.3 | Qwen3.5 122B-A10B |
|---|---|---|
| NYT Connections (extended) | 85.1% | 51.7% |
| CritPt | 26% | 0.9% |
| LMArena Hard Prompts | 1503 | 1421 |
| Mystery Game Puzzles | 25% | 17% |
| DTBench | 96.5% | 84.3% |
| LMCA | 53.9% | 32.2% |
| Chess Puzzles | 38% | — |
| Thematic Generalization | — | 51.2% |
| 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), Qwen3.5 122B-A10B: 39.1 (#112)
| Benchmark | Muse Spark 1.3 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | 1494 | 1432 |
| 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), Qwen3.5 122B-A10B: 38.8 (#142)
| Benchmark | Muse Spark 1.3 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Expert | 1516 | 1432 |
| Vectara Hallucination Rate | — | 11.2% |
Multimodal Muse Spark 1.3 leads
Muse Spark 1.3: 43.7 (#22), Qwen3.5 122B-A10B: 39.6 (#57)
| Benchmark | Muse Spark 1.3 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | 1309 | 1245 |
| LMArena Document | 1471 | — |
Multilingual Muse Spark 1.3 leads
Muse Spark 1.3: 57.4 (#8), Qwen3.5 122B-A10B: 51.6 (#107)
| Benchmark | Muse Spark 1.3 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | 1481 | 1400 |
| LMArena Chinese | 1529 | 1462 |
| LMArena French | 1524 | 1442 |
| LMArena German | 1515 | 1426 |
| LMArena Japanese | 1474 | 1367 |
| LMArena Korean | 1501 | 1352 |
| LMArena Russian | 1490 | 1400 |
| LMArena Spanish | 1490 | 1424 |
Instruction Following Muse Spark 1.3 leads
Muse Spark 1.3: 77.5 (#22), Qwen3.5 122B-A10B: 73.8 (#115)
| Benchmark | Muse Spark 1.3 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | 1477 | 1399 |
Long Context Muse Spark 1.3 leads
Muse Spark 1.3: 45.6 (#32), Qwen3.5 122B-A10B: 43.0 (#109)
| Benchmark | Muse Spark 1.3 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | 1488 | 1410 |
Writing & Preference Muse Spark 1.3 leads
Muse Spark 1.3: 73.6 (#9), Qwen3.5 122B-A10B: 60.0 (#105)
| Benchmark | Muse Spark 1.3 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | 1490 | 1417 |
| LMArena Creative Writing | 1455 | 1368 |
| LMArena Multi-Turn | 1482 | 1416 |
| EQ-Bench Creative Writing | 1906 | — |
Frequently asked questions
Is Muse Spark 1.3 better than Qwen3.5 122B-A10B?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 42.1 on the Noometry Index. Qwen3.5 122B-A10B costs 1.8× 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 Qwen3.5 122B-A10B?
Qwen3.5 122B-A10B is cheaper. It lists at $0.40 per million input tokens and $3.20 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.
Is Muse Spark 1.3 or Qwen3.5 122B-A10B 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 Qwen3.5 122B-A10B share?
25 benchmarks have published results for both models. Muse Spark 1.3 has 37 scored results on Noometry and Qwen3.5 122B-A10B has 27.