Muse Spark 1.2 vs Qwen3.7 Max
Updated October 21, 2026. 46 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 45.1 for Qwen3.7 Max.
Pick Qwen3.7 Max when what matters is Design Arena: HTML slides or Excel Modeling Benchmark (Vals AI), where it leads.
- Shared results
- 46
- Muse Spark 1.2 only
- 51
- Qwen3.7 Max only
- 13
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
Muse Spark 1.2
Muse Spark 1.2 scores 65.1 against 45.1.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Muse Spark 1.2
Muse Spark 1.2 leads, 39.6 against 29.5.
Same board, both measured
Agentic work
AA Agentic Index
Muse Spark 1.2
Muse Spark 1.2 leads, 43.2 against 22.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Qwen3.7 Max has a GPQA Diamond result, 90.2%.
Directional only
Knowledge
MMLU Pro
Qwen3.7 Max
Qwen3.7 Max leads, 89.3% against 88.3%.
Same board, both measured
Web design
Design Arena: websites
Muse Spark 1.2
Muse Spark 1.2 leads, 1313 against 1274.
Same board, both measured
Long documents
Listed context window
Muse Spark 1.2
Muse Spark 1.2 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.2
Muse Spark 1.2 $0.0034, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Muse Spark 1.2
Muse Spark 1.2 $0.64, Qwen3.7 Max $4.69.
Published attempt cost and pass rate
At a glance
- Coding index
- Muse Spark 1.2 65.1 from 2 benchmarks, Qwen3.7 Max 45.1 from 1 benchmark.
- Widest category
- Math, 17.0 points apart on average over 1 shared benchmark.
- Widest single gap
- Vibe Code Bench (Vals AI): Muse Spark 1.2 79.1% against Qwen3.7 Max 47.7%, 31.4 points apart on a 0 to 100 scale.
- Output price
- Muse Spark 1.2 $4.25 against Qwen3.7 Max $4.425 per million output tokens, 1.0x apart.
- Context window
- Muse Spark 1.2 takes 1.05M tokens, Qwen3.7 Max 1M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Muse Spark 1.2 | Bars | Qwen3.7 Max | Ties |
|---|---|---|---|---|
| Coding | 9 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 10 | 2 | ||
| Reasoning | 3 | 1 | ||
| Math | 1 | 0 | ||
| Knowledge | 5 | 1 | ||
| Web design | 8 | 0 | ||
| General | 3 | 0 | 1 tie | |
| All shared boards | 41 | 4 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index90
| Benchmark | Muse Spark 1.2 | Qwen3.7 Max | Leader |
|---|---|---|---|
| LiveBench coding | 78.2% | Not measured | Only Muse Spark 1.2 measured |
| LMArena WebDev | 1534 | 1515 | Muse Spark 1.2 |
| AA Coding Index | 72.2 | 66.0 | Muse Spark 1.2 |
| LiveCodeBench (Vals AI) | Not measured | 87.1% | Only Qwen3.7 Max measured |
| SWE-bench Verified (Vals AI) | 86.6% | 68.8% | Muse Spark 1.2 |
| Terminal-Bench 4 (Vals AI) | 6.1% | Not measured | Only Muse Spark 1.2 measured |
| Vibe Code Bench (Vals AI) | 79.1% | 47.7% | Muse Spark 1.2 |
| Code migration (Vals AI) | 29.9% | 13.1% | Muse Spark 1.2 |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Muse Spark 1.2 measured |
| IOI (Vals AI) | 21.8% | Not measured | Only Muse Spark 1.2 measured |
| Terminal-Bench 2.1 (Vals AI) | 69.7% | 61.0% | Muse Spark 1.2 |
| SkillsBench (Vals AI) | 53.0% | Not measured | Only Muse Spark 1.2 measured |
| CyberBench (Vals AI) | 69.5% | Not measured | Only Muse Spark 1.2 measured |
| SciCode | 57.4% | 49.5% | Muse Spark 1.2 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 50.8% | Only Qwen3.7 Max measured |
| FrontierSWE | 12.0% | Not measured | Only Muse Spark 1.2 measured |
| WeirdML | 60.3% | Not measured | Only Muse Spark 1.2 measured |
| ALE-Bench | Not measured | 1189.4 | Only Qwen3.7 Max measured |
| LMArena Text: coding | 1505 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: software and IT | 1505 | Not measured | Only Muse Spark 1.2 measured |
| LMArena WebDev: React | 1526 | 1514 | Muse Spark 1.2 |
| LMArena WebDev: HTML | 1543 | 1512 | Muse Spark 1.2 |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Spark 1.2 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.6 | 29.5 | Muse Spark 1.2 |
| Epoch Capabilities Index | 155.1 | 154.0 | Muse Spark 1.2 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index102
| Benchmark | Muse Spark 1.2 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Agentic Index | 43.2 | 22.5 | Muse Spark 1.2 |
| Design Arena: agents building web apps | 1222 | 1208 | Muse Spark 1.2 |
| Design Arena: agents building full-stack apps | 1210 | 1191 | Muse Spark 1.2 |
| Design Arena: agents building mobile apps | 1182 | 1153 | Muse Spark 1.2 |
| Design Arena: agents building Android apps | 1228 | 1165 | Muse Spark 1.2 |
| Design Arena: agents building Godot games | Not measured | 1187 | Only Qwen3.7 Max measured |
| Design Arena: agents building games | 1179 | 1161 | Muse Spark 1.2 |
| Design Arena: HTML slides | 1135 | 1158 | Qwen3.7 Max |
| Design Arena: PowerPoint slides | 1198 | 1196 | Muse Spark 1.2 |
| LiveBench research | 67.7% | Not measured | Only Muse Spark 1.2 measured |
| LiveBench browser | 36.0% | Not measured | Only Muse Spark 1.2 measured |
| LiveBench long agentic | 21.3% | Not measured | Only Muse Spark 1.2 measured |
| SREBench (Vals AI) | 0.0% | Not measured | Only Muse Spark 1.2 measured |
| Finance Agent (Vals AI) | 60.6% | 47.8% | Muse Spark 1.2 |
| Tax Agent Bench (Vals AI) | 32.8% | 15.8% | Muse Spark 1.2 |
| Legal Research Bench (Vals AI) | 43.8% | 25.5% | Muse Spark 1.2 |
| Excel Modeling Benchmark (Vals AI) | 57.0% | 57.0% | Qwen3.7 Max |
| BioMysteryBench (Vals AI) | 64.8% | Not measured | Only Muse Spark 1.2 measured |
| τ²-Bench Telecom | Not measured | 94.7% | Only Qwen3.7 Max measured |
| APEX-Agents | 45.4% | Not measured | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Muse Spark 1.2 | Qwen3.7 Max | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 90.2% | Only Qwen3.7 Max measured |
| LiveBench reasoning | 90.0% | Not measured | Only Muse Spark 1.2 measured |
| MMMU Pro (Vals AI) | 86.1% | Not measured | Only Muse Spark 1.2 measured |
| GPQA Diamond (Artificial Analysis run) | 90.4% | 92.3% | Qwen3.7 Max |
| Humanity's Last Exam (Artificial Analysis run) | 45.5% | 40.5% | Muse Spark 1.2 |
| GPQA Diamond (Epoch AI run) | Not measured | 90.9% | Only Qwen3.7 Max measured |
| SimpleBench | 74.5% | 70.4% | Muse Spark 1.2 |
| Chess puzzles | 27.0% | 26.0% | Muse Spark 1.2 |
| Mystery game puzzles | Not measured | 32.0% | Only Qwen3.7 Max measured |
| EBR-bench | Not measured | 9.5% | Only Qwen3.7 Max measured |
| LMArena Text: hard prompts | 1489 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: expert | 1475 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: hard prompts in English | 1487 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Vision: diagrams | 1317 | Not measured | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Spark 1.2 | Qwen3.7 Max | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 95.6% | Only Qwen3.7 Max measured |
| FrontierMath, tiers 1 to 3 | Not measured | 64.6% | Only Qwen3.7 Max measured |
| FrontierMath, tier 4 | Not measured | 34.1% | Only Qwen3.7 Max measured |
| ProofBench | 43.0% | 26.0% | Muse Spark 1.2 |
| LMArena Text: math | 1484 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: mathematical work | 1480 | Not measured | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Muse Spark 1.2 | Qwen3.7 Max | Leader |
|---|---|---|---|
| MMLU Pro | 88.3% | 89.3% | Qwen3.7 Max |
| LegalBench (Vals AI) | 85.3% | 84.9% | Muse Spark 1.2 |
| CorpFin (Vals AI) | 70.9% | 63.7% | Muse Spark 1.2 |
| TaxEval (Vals AI) | 80.4% | 75.3% | Muse Spark 1.2 |
| MortgageTax (Vals AI) | 65.4% | Not measured | Only Muse Spark 1.2 measured |
| MedCode (Vals AI) | 49.4% | 38.8% | Muse Spark 1.2 |
| SimpleQA Verified | 60.3% | 55.8% | Muse Spark 1.2 |
| LMArena Text: science | 1500 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: medicine and healthcare | 1496 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: legal and government | 1517 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: business and finance | 1484 | Not measured | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Muse Spark 1.2 | Qwen3.7 Max | Leader |
|---|---|---|---|
| Design Arena: websites | 1313 | 1274 | Muse Spark 1.2 |
| Design Arena: UI components | 1300 | 1269 | Muse Spark 1.2 |
| Design Arena: game dev | 1302 | 1265 | Muse Spark 1.2 |
| Design Arena: data viz | 1334 | 1275 | Muse Spark 1.2 |
| Design Arena: 3D | 1301 | 1266 | Muse Spark 1.2 |
| Design Arena: all code categories | 1313 | 1275 | Muse Spark 1.2 |
| Design Arena: SVG | 1285 | 1216 | Muse Spark 1.2 |
| Design Arena: ASCII art | 1284 | 1211 | Muse Spark 1.2 |
| LiveBench design | 67.1% | Not measured | Only Muse Spark 1.2 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Muse Spark 1.2 | Qwen3.7 Max | Leader |
|---|---|---|---|
| LiveBench data analysis | 76.5% | Not measured | Only Muse Spark 1.2 measured |
| Public Benefits Bench (Vals AI) | 68.5% | Not measured | Only Muse Spark 1.2 measured |
| SAGE (Vals AI) | 47.7% | Not measured | Only Muse Spark 1.2 measured |
| MedScribe (Vals AI) | 90.1% | 79.4% | Muse Spark 1.2 |
| Vals Multimodal Index | 69.8% | Not measured | Only Muse Spark 1.2 measured |
| IFBench | Not measured | 80.5% | Only Qwen3.7 Max measured |
| Long context reasoning (AA-LCR) | 79.0% | 79.0% | Tie |
| DTBench | 94.7% | 92.3% | Muse Spark 1.2 |
| LMCA | 48.4% | 44.0% | Muse Spark 1.2 |
| LMArena Text | 1482 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: instruction following | 1462 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: creative writing | 1436 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Vision | 1304 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: English | 1483 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: non-English | 1476 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: Chinese | 1509 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: Korean | 1462 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: French | 1495 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: Spanish | 1484 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: Russian | 1483 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: multi-turn | 1502 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: longer queries | 1473 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: writing and language | 1453 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: entertainment and media | 1443 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Vision: English | 1291 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Vision: reading text | 1313 | Not measured | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Spark 1.2 | Qwen3.7 Max | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Muse Spark 1.2 costs less
Repository review
50K input + 3K output tokens
Muse Spark 1.2 costs less
Agent loop
200K input + 10K output tokens
Muse Spark 1.2 costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Meta Muse Spark 1.2 | Qwen3.7 Max |
|---|---|---|
| Maker | Meta | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | August 5, 2026 | May 21, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $1.25 | $1.475 |
| Output $/Mtok | $4.25 | $4.425 |
| Coding index | 65.1 | 45.1 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $0.64 | $4.69 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark 1.2 better than Qwen3.7 Max for coding?
Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 45.1 for Qwen3.7 Max. Pick Qwen3.7 Max when what matters is Design Arena: HTML slides or Excel Modeling Benchmark (Vals AI), where it leads.
Which is cheaper, Muse Spark 1.2 or Qwen3.7 Max?
Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, Muse Spark 1.2 costs $0.64 and Qwen3.7 Max $4.69.
Which has the bigger context window, Muse Spark 1.2 or Qwen3.7 Max?
Muse Spark 1.2, with 1.05M tokens against 1M.
How many benchmarks is the Muse Spark 1.2 vs Qwen3.7 Max comparison based on?
46 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.2's coding index rests on 2 independent benchmarks and Qwen3.7 Max's on 1. Where only one model has a result, the page says so instead of naming a winner.