Model comparison
Muse Spark 1.3 vs Qwen2.5-VL 72B Instruct
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 29.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Muse Spark 1.3 scores higher in 3 categories and Qwen2.5-VL 72B Instruct in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.3 leads 54.0 to 20.7.
- Muse Spark 1.3 is cheaper at $1.25 / $4.25 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
- Muse Spark 1.3 accepts more context: 1.05M tokens versus 131K.
- Qwen2.5-VL 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| Muse Spark 1.3 | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 54.8 | 29.9 |
| Released | 2026-09-02 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 131K | 8K |
| Input $ / M tokens | $1.25 | $2.80 |
| Output $ / M tokens | $4.25 | $8.40 |
| Results tracked | 37 | 6 |
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Category by category
Coding Not comparable
Muse Spark 1.3: 56.6 (#21), Qwen2.5-VL 72B Instruct: —
| Benchmark | Muse Spark 1.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| CursorBench | 41.6% | — |
| LMArena WebDev | 1657 | — |
| SciCode | 59.7% | — |
| LMArena Coding | 1514 | — |
Agentic & Tool Use Muse Spark 1.3 leads
Muse Spark 1.3: 38.6 (#30), Qwen2.5-VL 72B Instruct: 18.6 (#144)
| Benchmark | Muse Spark 1.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| APEX-Agents | 57.8% | — |
| OSWorld | — | 5% |
| GDP.pdf | 27.6% | — |
Reasoning Muse Spark 1.3 leads
Muse Spark 1.3: 54.0 (#27), Qwen2.5-VL 72B Instruct: 20.7 (#233)
| Benchmark | Muse Spark 1.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 36% |
| NYT Connections (extended) | 85.1% | — |
| CritPt | 26% | — |
| Chess Puzzles | 38% | — |
| LMArena Hard Prompts | 1503 | — |
| Mystery Game Puzzles | 25% | — |
| DTBench | 96.5% | — |
| LMCA | 53.9% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 156.75 | — |
Math Not comparable
Muse Spark 1.3: 73.1 (#21), Qwen2.5-VL 72B Instruct: —
| Benchmark | Muse Spark 1.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74.4% | — |
| FrontierMath Tier 4 | 46.3% | — |
| OTIS Mock AIME 2024-2025 | 99.2% | — |
| ProofBench | 58% | — |
| LMArena Math | 1494 | — |
Knowledge Not comparable
Muse Spark 1.3: 42.6 (#95), Qwen2.5-VL 72B Instruct: —
| Benchmark | Muse Spark 1.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Expert | 1516 | — |
Multimodal Muse Spark 1.3 leads
Muse Spark 1.3: 43.7 (#22), Qwen2.5-VL 72B Instruct: 33.5 (#97)
| Benchmark | Muse Spark 1.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | 1309 | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| LMArena Document | 1471 | — |
| SpatialViz-Bench | — | 33.3% |
Multilingual Not comparable
Muse Spark 1.3: 57.4 (#8), Qwen2.5-VL 72B Instruct: —
| Benchmark | Muse Spark 1.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| 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), Qwen2.5-VL 72B Instruct: —
| Benchmark | Muse Spark 1.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1477 | — |
Long Context Not comparable
Muse Spark 1.3: 45.6 (#32), Qwen2.5-VL 72B Instruct: —
| Benchmark | Muse Spark 1.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1488 | — |
Writing & Preference Not comparable
Muse Spark 1.3: 73.6 (#9), Qwen2.5-VL 72B Instruct: —
| Benchmark | Muse Spark 1.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Text | 1490 | — |
| LMArena Creative Writing | 1455 | — |
| EQ-Bench Creative Writing | 1906 | — |
| LMArena Multi-Turn | 1482 | — |
Frequently asked questions
Is Muse Spark 1.3 better than Qwen2.5-VL 72B Instruct?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 29.9 on the Noometry Index.
Which is cheaper, Muse Spark 1.3 or Qwen2.5-VL 72B Instruct?
Muse Spark 1.3 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.
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 Qwen2.5-VL 72B Instruct share?
1 benchmark has published results for both models. Muse Spark 1.3 has 37 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.