Model comparison
Muse Spark 1.2 vs Qwen3-1.7B
Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 26.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Muse Spark 1.2 leads 53.9 to 19.6.
- Qwen3-1.7B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark 1.2 | Qwen3-1.7B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 49.8 | 26.2 |
| Released | 2026-08-05 | 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 | 28 | 4 |
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Category by category
Coding Not comparable
Muse Spark 1.2: 48.6 (#49), Qwen3-1.7B: —
| Benchmark | Muse Spark 1.2 | Qwen3-1.7B |
|---|---|---|
| DeepSWE | 54.9% | — |
| LMArena WebDev | 1532 | — |
| FrontierSWE | 12% | — |
| SciCode | 56.4% | — |
| WeirdML | 60.3% | — |
| LMArena Coding | 1497 | — |
Agentic & Tool Use Muse Spark 1.2 leads
Muse Spark 1.2: 29.5 (#77), Qwen3-1.7B: 24.5 (#108)
| Benchmark | Muse Spark 1.2 | Qwen3-1.7B |
|---|---|---|
| APEX-Agents | 36.4% | — |
| Berkeley Function Calling Leaderboard | — | 28.4% |
| GDP.pdf | 16% | — |
Reasoning Muse Spark 1.2 leads
Muse Spark 1.2: 50.4 (#32), Qwen3-1.7B: 18.5 (#263)
| Benchmark | Muse Spark 1.2 | Qwen3-1.7B |
|---|---|---|
| SimpleBench | 74.5% | — |
| NYT Connections (extended) | 79.2% | — |
| CritPt | 17.7% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1490 | — |
| DTBench | 94.7% | — |
| LMCA | 48.4% | — |
| Epoch Capabilities Index | 155.18 | — |
Math Muse Spark 1.2 leads
Muse Spark 1.2: 43.8 (#68), Qwen3-1.7B: 15.4 (#288)
| Benchmark | Muse Spark 1.2 | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| ProofBench | 43% | — |
Knowledge Muse Spark 1.2 leads
Muse Spark 1.2: 53.9 (#49), Qwen3-1.7B: 19.6 (#273)
| Benchmark | Muse Spark 1.2 | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| SimpleQA Verified | 60.3% | — |
| LMArena Expert | 1485 | — |
Multimodal Not comparable
Muse Spark 1.2: 42.6 (#24), Qwen3-1.7B: —
| Benchmark | Muse Spark 1.2 | Qwen3-1.7B |
|---|---|---|
| LMArena Vision | 1304 | — |
Multilingual Not comparable
Muse Spark 1.2: 57.4 (#10), Qwen3-1.7B: —
| Benchmark | Muse Spark 1.2 | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1479 | — |
| LMArena Chinese | 1519 | — |
| LMArena Russian | 1494 | — |
Instruction Following Not comparable
Muse Spark 1.2: 77.1 (#30), Qwen3-1.7B: —
| Benchmark | Muse Spark 1.2 | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1466 | — |
Long Context Not comparable
Muse Spark 1.2: 45.4 (#35), Qwen3-1.7B: —
| Benchmark | Muse Spark 1.2 | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1483 | — |
Writing & Preference Not comparable
Muse Spark 1.2: 72.6 (#14), Qwen3-1.7B: —
| Benchmark | Muse Spark 1.2 | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1486 | — |
| LMArena Creative Writing | 1444 | — |
| EQ-Bench Creative Writing | 1840 | — |
| LMArena Multi-Turn | 1504 | — |
Frequently asked questions
Is Muse Spark 1.2 better than Qwen3-1.7B?
Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 26.2 on the Noometry Index.
How many benchmarks do Muse Spark 1.2 and Qwen3-1.7B share?
0 benchmarks have published results for both models. Muse Spark 1.2 has 28 scored results on Noometry and Qwen3-1.7B has 4.