Muse Spark 1.2 vs Qwen3.5-27B
Updated October 21, 2026. 39 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 22.6 for Qwen3.5-27B.
Pick Qwen3.5-27B when output tokens cost 2.0x less.
- Shared results
- 39
- Muse Spark 1.2 only
- 58
- Qwen3.5-27B only
- 14
- Like-for-like categories
- 6 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 22.6.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Muse Spark 1.2
Muse Spark 1.2 leads, 39.6 against 22.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Muse Spark 1.2 has a AA Agentic Index result, 43.2.
Directional only
Knowledge
MMLU Pro
No call
Only Muse Spark 1.2 has a MMLU Pro result, 88.3%.
Directional only
Web design
Design Arena: websites
No call
Only Muse Spark 1.2 has a Design Arena: websites result, 1313.
Directional only
Long documents
Listed context window
Muse Spark 1.2
Muse Spark 1.2 takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-27B
Muse Spark 1.2 $0.0034, Qwen3.5-27B $0.0014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Muse Spark 1.2 has the number, $0.64.
Directional only
At a glance
- Coding index
- Muse Spark 1.2 65.1 from 2 benchmarks, Qwen3.5-27B 22.6 from 1 benchmark.
- Widest category
- Coding, 21.2 points apart on average over 6 shared benchmarks.
- Widest single gap
- LMArena WebDev: React: Muse Spark 1.2 1526 against Qwen3.5-27B 1346, 30.0 points apart on a 0 to 100 scale.
- Output price
- Muse Spark 1.2 $4.25 against Qwen3.5-27B $2.16 per million output tokens, 2.0x apart.
- Context window
- Muse Spark 1.2 takes 1.05M tokens, Qwen3.5-27B 262K.
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 | Qwen3.5-27B | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 6 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 20 | 0 | ||
| All shared boards | 39 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
| Benchmark | Muse Spark 1.2 | Qwen3.5-27B | Leader |
|---|---|---|---|
| LiveBench coding | 78.2% | Not measured | Only Muse Spark 1.2 measured |
| LMArena WebDev | 1534 | 1358 | Muse Spark 1.2 |
| AA Coding Index | 72.2 | Not measured | Only Muse Spark 1.2 measured |
| SWE-bench Verified (Vals AI) | 86.6% | Not measured | Only Muse Spark 1.2 measured |
| Terminal-Bench 4 (Vals AI) | 6.1% | Not measured | Only Muse Spark 1.2 measured |
| Vibe Code Bench (Vals AI) | 79.1% | Not measured | Only Muse Spark 1.2 measured |
| Code migration (Vals AI) | 29.9% | Not measured | Only Muse Spark 1.2 measured |
| 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% | Not measured | Only Muse Spark 1.2 measured |
| 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% | Not measured | Only Muse Spark 1.2 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 32.6% | Only Qwen3.5-27B measured |
| FrontierSWE | 12.0% | Not measured | Only Muse Spark 1.2 measured |
| WeirdML | 60.3% | 39.5% | Muse Spark 1.2 |
| ALE-Bench | Not measured | 349.4 | Only Qwen3.5-27B measured |
| LMArena Text: coding | 1505 | 1427 | Muse Spark 1.2 |
| LMArena Text: software and IT | 1505 | 1431 | Muse Spark 1.2 |
| LMArena WebDev: React | 1526 | 1346 | Muse Spark 1.2 |
| LMArena WebDev: HTML | 1543 | 1386 | Muse Spark 1.2 |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Spark 1.2 | Qwen3.5-27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.6 | 22.9 | Muse Spark 1.2 |
| Epoch Capabilities Index | 155.1 | Not measured | Only Muse Spark 1.2 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
| Benchmark | Muse Spark 1.2 | Qwen3.5-27B | Leader |
|---|---|---|---|
| AA Agentic Index | 43.2 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: agents building web apps | 1222 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: agents building full-stack apps | 1210 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: agents building mobile apps | 1182 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: agents building Android apps | 1228 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: agents building games | 1179 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: HTML slides | 1135 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: PowerPoint slides | 1198 | Not measured | Only Muse Spark 1.2 measured |
| 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% | Not measured | Only Muse Spark 1.2 measured |
| Tax Agent Bench (Vals AI) | 32.8% | Not measured | Only Muse Spark 1.2 measured |
| Legal Research Bench (Vals AI) | 43.8% | Not measured | Only Muse Spark 1.2 measured |
| Excel Modeling Benchmark (Vals AI) | 57.0% | Not measured | Only Muse Spark 1.2 measured |
| BioMysteryBench (Vals AI) | 64.8% | Not measured | Only Muse Spark 1.2 measured |
| τ²-Bench Telecom | Not measured | 93.9% | Only Qwen3.5-27B measured |
| APEX-Agents | 45.4% | Not measured | Only Muse Spark 1.2 measured |
| Vending-Bench 2 | Not measured | $202 | Only Qwen3.5-27B measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Muse Spark 1.2 | Qwen3.5-27B | Leader |
|---|---|---|---|
| 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% | 85.8% | Muse Spark 1.2 |
| Humanity's Last Exam (Artificial Analysis run) | 45.5% | 23.9% | Muse Spark 1.2 |
| SimpleBench | 74.5% | Not measured | Only Muse Spark 1.2 measured |
| Chess puzzles | 27.0% | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: hard prompts | 1489 | 1415 | Muse Spark 1.2 |
| LMArena Text: expert | 1475 | 1427 | Muse Spark 1.2 |
| LMArena Text: hard prompts in English | 1487 | 1429 | Muse Spark 1.2 |
| LMArena Vision: diagrams | 1317 | 1249 | Muse Spark 1.2 |
| LMArena Vision: homework | Not measured | 1256 | Only Qwen3.5-27B measured |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Spark 1.2 | Qwen3.5-27B | Leader |
|---|---|---|---|
| ProofBench | 43.0% | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: math | 1484 | 1429 | Muse Spark 1.2 |
| LMArena Text: mathematical work | 1480 | 1429 | Muse Spark 1.2 |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Spark 1.2 | Qwen3.5-27B | Leader |
|---|---|---|---|
| MMLU Pro | 88.3% | Not measured | Only Muse Spark 1.2 measured |
| LegalBench (Vals AI) | 85.3% | Not measured | Only Muse Spark 1.2 measured |
| CorpFin (Vals AI) | 70.9% | Not measured | Only Muse Spark 1.2 measured |
| TaxEval (Vals AI) | 80.4% | Not measured | Only Muse Spark 1.2 measured |
| MortgageTax (Vals AI) | 65.4% | Not measured | Only Muse Spark 1.2 measured |
| MedCode (Vals AI) | 49.4% | Not measured | Only Muse Spark 1.2 measured |
| SimpleQA Verified | 60.3% | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: science | 1500 | 1437 | Muse Spark 1.2 |
| LMArena Text: medicine and healthcare | 1496 | 1425 | Muse Spark 1.2 |
| LMArena Text: legal and government | 1517 | 1405 | Muse Spark 1.2 |
| LMArena Text: business and finance | 1484 | 1399 | Muse Spark 1.2 |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Muse Spark 1.2 | Qwen3.5-27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1313 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: UI components | 1300 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: game dev | 1302 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: data viz | 1334 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: 3D | 1301 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: all code categories | 1313 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: SVG | 1285 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: ASCII art | 1284 | Not measured | Only Muse Spark 1.2 measured |
| LiveBench design | 67.1% | Not measured | Only Muse Spark 1.2 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index200
| Benchmark | Muse Spark 1.2 | Qwen3.5-27B | 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% | Not measured | Only Muse Spark 1.2 measured |
| Vals Multimodal Index | 69.8% | Not measured | Only Muse Spark 1.2 measured |
| IFBench | Not measured | 75.6% | Only Qwen3.5-27B measured |
| Long context reasoning (AA-LCR) | 79.0% | 77.7% | Muse Spark 1.2 |
| DTBench | 94.7% | 82.4% | Muse Spark 1.2 |
| LMCA | 48.4% | 34.0% | Muse Spark 1.2 |
| LMArena Text | 1482 | 1409 | Muse Spark 1.2 |
| LMArena Text: instruction following | 1462 | 1393 | Muse Spark 1.2 |
| LMArena Text: creative writing | 1436 | 1362 | Muse Spark 1.2 |
| LMArena Vision | 1304 | 1241 | Muse Spark 1.2 |
| LMArena Text: English | 1483 | 1425 | Muse Spark 1.2 |
| LMArena Text: non-English | 1476 | 1390 | Muse Spark 1.2 |
| LMArena Text: Chinese | 1509 | 1478 | Muse Spark 1.2 |
| LMArena Text: German | Not measured | 1392 | Only Qwen3.5-27B measured |
| LMArena Text: Japanese | Not measured | 1346 | Only Qwen3.5-27B measured |
| LMArena Text: Korean | 1462 | 1359 | Muse Spark 1.2 |
| LMArena Text: French | 1495 | 1410 | Muse Spark 1.2 |
| LMArena Text: Spanish | 1484 | 1407 | Muse Spark 1.2 |
| LMArena Text: Russian | 1483 | 1390 | Muse Spark 1.2 |
| LMArena Text: Polish | Not measured | 1375 | Only Qwen3.5-27B measured |
| LMArena Text: multi-turn | 1502 | 1410 | Muse Spark 1.2 |
| LMArena Text: longer queries | 1473 | 1413 | Muse Spark 1.2 |
| LMArena Text: writing and language | 1453 | 1380 | Muse Spark 1.2 |
| LMArena Text: entertainment and media | 1443 | 1363 | Muse Spark 1.2 |
| LMArena Vision: English | 1291 | 1246 | Muse Spark 1.2 |
| LMArena Vision: Chinese | Not measured | 1301 | Only Qwen3.5-27B measured |
| LMArena Vision: reading text | 1313 | 1246 | Muse Spark 1.2 |
| LMArena Vision: humor | Not measured | 1227 | Only Qwen3.5-27B measured |
| LMArena Vision: captioning | Not measured | 1170 | Only Qwen3.5-27B measured |
| LMArena Vision: recognizing things | Not measured | 1210 | Only Qwen3.5-27B measured |
| LMArena Vision: creative writing | Not measured | 1224 | Only Qwen3.5-27B measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Spark 1.2 | Qwen3.5-27B | 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
Qwen3.5-27B costs less
Repository review
50K input + 3K output tokens
Qwen3.5-27B costs less
Agent loop
200K input + 10K output tokens
Qwen3.5-27B 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 | Qwen3.5-27B |
|---|---|---|
| Maker | Meta | Qwen |
| Weights | No public weights listed | Open weights |
| Released | August 5, 2026 | February 25, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $1.25 | $0.27 |
| Output $/Mtok | $4.25 | $2.16 |
| Coding index | 65.1 | 22.6 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $0.64 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark 1.2 better than Qwen3.5-27B for coding?
Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 22.6 for Qwen3.5-27B. Pick Qwen3.5-27B when output tokens cost 2.0x less.
Which is cheaper, Muse Spark 1.2 or Qwen3.5-27B?
Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.5-27B costs $0.27 and $2.16. Cost per solved task is known for Muse Spark 1.2 only.
Which has the bigger context window, Muse Spark 1.2 or Qwen3.5-27B?
Muse Spark 1.2, with 1.05M tokens against 262K.
How many benchmarks is the Muse Spark 1.2 vs Qwen3.5-27B comparison based on?
39 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 Qwen3.5-27B's on 1. Where only one model has a result, the page says so instead of naming a winner.