Model comparison
Muse Spark 1.3 vs Qwen3-1.7B
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 26.6 on the Noometry Index.
Last verified . 2 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Muse Spark 1.3 scores higher in 4 categories and Qwen3-1.7B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 16.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 99.2% for Muse Spark 1.3 and 8.1% for Qwen3-1.7B.
- Qwen3-1.7B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark 1.3 | Qwen3-1.7B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 54.8 | 26.6 |
| Released | 2026-09-02 | 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 | 37 | 4 |
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Category by category
Coding Not comparable
Muse Spark 1.3: 56.6 (#21), Qwen3-1.7B: —
| Benchmark | Muse Spark 1.3 | Qwen3-1.7B |
|---|---|---|
| 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), Qwen3-1.7B: 24.7 (#115)
| Benchmark | Muse Spark 1.3 | Qwen3-1.7B |
|---|---|---|
| APEX-Agents | 57.8% | — |
| Berkeley Function Calling Leaderboard | — | 28.4% |
| GDP.pdf | 27.6% | — |
Reasoning Muse Spark 1.3 leads
Muse Spark 1.3: 54.0 (#27), Qwen3-1.7B: 19.2 (#267)
| Benchmark | Muse Spark 1.3 | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | 38% | 0% |
| NYT Connections (extended) | 85.1% | — |
| CritPt | 26% | — |
| 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 Muse Spark 1.3 leads
Muse Spark 1.3: 73.1 (#21), Qwen3-1.7B: 16.3 (#294)
| Benchmark | Muse Spark 1.3 | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 99.2% | 8.1% |
| FrontierMath (Tiers 1-3) | 74.4% | — |
| FrontierMath Tier 4 | 46.3% | — |
| ProofBench | 58% | — |
| LMArena Math | 1494 | — |
Knowledge Muse Spark 1.3 leads
Muse Spark 1.3: 42.6 (#95), Qwen3-1.7B: 19.6 (#278)
| Benchmark | Muse Spark 1.3 | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| LMArena Expert | 1516 | — |
Multimodal Not comparable
Muse Spark 1.3: 43.7 (#22), Qwen3-1.7B: —
| Benchmark | Muse Spark 1.3 | Qwen3-1.7B |
|---|---|---|
| LMArena Vision | 1309 | — |
| LMArena Document | 1471 | — |
Multilingual Not comparable
Muse Spark 1.3: 57.4 (#8), Qwen3-1.7B: —
| Benchmark | Muse Spark 1.3 | Qwen3-1.7B |
|---|---|---|
| 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), Qwen3-1.7B: —
| Benchmark | Muse Spark 1.3 | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1477 | — |
Long Context Not comparable
Muse Spark 1.3: 45.6 (#32), Qwen3-1.7B: —
| Benchmark | Muse Spark 1.3 | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1488 | — |
Writing & Preference Not comparable
Muse Spark 1.3: 73.6 (#9), Qwen3-1.7B: —
| Benchmark | Muse Spark 1.3 | Qwen3-1.7B |
|---|---|---|
| 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 Qwen3-1.7B?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 26.6 on the Noometry Index.
How many benchmarks do Muse Spark 1.3 and Qwen3-1.7B share?
2 benchmarks have published results for both models. Muse Spark 1.3 has 37 scored results on Noometry and Qwen3-1.7B has 4.