Muse Spark 1.2 vs Qwen3.8 27B
Updated October 21, 2026. 71 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 65.1 for Muse Spark 1.2.
Pick Muse Spark 1.2 when a solved task costs $0.64 against $1.26, or when the context window is larger, 1.05M against 1M tokens.
- Shared results
- 71
- Muse Spark 1.2 only
- 26
- Qwen3.8 27B only
- 14
- 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
Qwen3.8 27B
Qwen3.8 27B scores 73.6 against 65.1.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Muse Spark 1.2
Muse Spark 1.2 leads, 39.6 against 33.7.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.8 27B
Qwen3.8 27B leads, 45.8 against 43.2.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Qwen3.8 27B has a GPQA Diamond result, 88.9%.
Directional only
Knowledge
MMLU Pro
Muse Spark 1.2
Muse Spark 1.2 leads, 88.3% against 84.3%.
Same board, both measured
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 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 27B
Muse Spark 1.2 $0.0034, Qwen3.8 27B $0.0007 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Muse Spark 1.2
Muse Spark 1.2 $0.64, Qwen3.8 27B $1.26.
Published attempt cost and pass rate
At a glance
- Coding index
- Muse Spark 1.2 65.1 from 2 benchmarks, Qwen3.8 27B 73.6 from 2 benchmarks.
- Widest category
- Math, 11.8 points apart on average over 3 shared benchmarks.
- Widest single gap
- ProofBench: Muse Spark 1.2 43.0% against Qwen3.8 27B 16.0%, 27.0 points apart on a 0 to 100 scale.
- Output price
- Muse Spark 1.2 $4.25 against Qwen3.8 27B $1.35 per million output tokens, 3.1x apart.
- Context window
- Muse Spark 1.2 takes 1.05M tokens, Qwen3.8 27B 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 | Qwen3.8 27B | Ties |
|---|---|---|---|---|
| Coding | 11 | 5 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 5 | 4 | ||
| Reasoning | 6 | 2 | ||
| Math | 3 | 0 | ||
| Knowledge | 9 | 0 | ||
| Web design | 0 | 1 | ||
| General | 20 | 3 | ||
| All shared boards | 56 | 15 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index115
| Benchmark | Muse Spark 1.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench coding | 78.2% | 86.8% | Qwen3.8 27B |
| LMArena WebDev | 1534 | 1593 | Qwen3.8 27B |
| AA Coding Index | 72.2 | 68.1 | Muse Spark 1.2 |
| LiveCodeBench (Vals AI) | Not measured | 84.0% | Only Qwen3.8 27B measured |
| SWE-bench Verified (Vals AI) | 86.6% | 86.0% | 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% | 64.8% | Muse Spark 1.2 |
| Code migration (Vals AI) | 29.9% | 14.2% | Muse Spark 1.2 |
| ProgramBench (Vals AI) | 0.5% | 0.0% | Muse Spark 1.2 |
| IOI (Vals AI) | 21.8% | 39.1% | Qwen3.8 27B |
| Terminal-Bench 2.1 (Vals AI) | 69.7% | 58.4% | Muse Spark 1.2 |
| SkillsBench (Vals AI) | 53.0% | 38.1% | Muse Spark 1.2 |
| CyberBench (Vals AI) | 69.5% | 67.8% | Muse Spark 1.2 |
| SciCode | 57.4% | 46.6% | Muse Spark 1.2 |
| FrontierSWE | 12.0% | Not measured | Only Muse Spark 1.2 measured |
| WeirdML | 60.3% | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: coding | 1505 | 1483 | Muse Spark 1.2 |
| LMArena Text: software and IT | 1505 | 1478 | Muse Spark 1.2 |
| LMArena WebDev: React | 1526 | 1602 | Qwen3.8 27B |
| LMArena WebDev: HTML | 1543 | 1570 | Qwen3.8 27B |
| LMArena WebDev: from an image | Not measured | 1577 | Only Qwen3.8 27B measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Spark 1.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.6 | 33.7 | Muse Spark 1.2 |
| Epoch Capabilities Index | 155.1 | 151.7 | Muse Spark 1.2 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index54
| Benchmark | Muse Spark 1.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Agentic Index | 43.2 | 45.8 | Qwen3.8 27B |
| 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% | 59.4% | Muse Spark 1.2 |
| LiveBench browser | 36.0% | 32.0% | Muse Spark 1.2 |
| LiveBench long agentic | 21.3% | 27.9% | Qwen3.8 27B |
| SREBench (Vals AI) | 0.0% | Not measured | Only Muse Spark 1.2 measured |
| Finance Agent (Vals AI) | 60.6% | 48.5% | Muse Spark 1.2 |
| Tax Agent Bench (Vals AI) | 32.8% | 30.9% | Muse Spark 1.2 |
| Legal Research Bench (Vals AI) | 43.8% | 36.1% | Muse Spark 1.2 |
| Excel Modeling Benchmark (Vals AI) | 57.0% | 59.7% | Qwen3.8 27B |
| BioMysteryBench (Vals AI) | 64.8% | Not measured | Only Muse Spark 1.2 measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 0.0% | Only Qwen3.8 27B measured |
| APEX-Agents | 45.4% | 47.5% | Qwen3.8 27B |
| Neither model has a result on the other 20 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index62
| Benchmark | Muse Spark 1.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 88.9% | Only Qwen3.8 27B measured |
| LiveBench reasoning | 90.0% | 80.0% | Muse Spark 1.2 |
| MMMU Pro (Vals AI) | 86.1% | 83.9% | Muse Spark 1.2 |
| GPQA Diamond (Artificial Analysis run) | 90.4% | 90.5% | Qwen3.8 27B |
| Humanity's Last Exam (Artificial Analysis run) | 45.5% | 33.9% | Muse Spark 1.2 |
| ARC-AGI | Not measured | 87.5% | Only Qwen3.8 27B measured |
| ARC-AGI-2 | Not measured | 42.4% | Only Qwen3.8 27B measured |
| 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 | 1459 | Muse Spark 1.2 |
| LMArena Text: expert | 1475 | 1479 | Qwen3.8 27B |
| LMArena Text: hard prompts in English | 1487 | 1461 | Muse Spark 1.2 |
| LMArena Vision: diagrams | 1317 | 1285 | Muse Spark 1.2 |
| LMArena Vision: homework | Not measured | 1295 | Only Qwen3.8 27B measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Muse Spark 1.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| ProofBench | 43.0% | 16.0% | Muse Spark 1.2 |
| LMArena Text: math | 1484 | 1455 | Muse Spark 1.2 |
| LMArena Text: mathematical work | 1480 | 1458 | 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 index90
| Benchmark | Muse Spark 1.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| MMLU Pro | 88.3% | 84.3% | Muse Spark 1.2 |
| LegalBench (Vals AI) | 85.3% | 82.4% | Muse Spark 1.2 |
| CorpFin (Vals AI) | 70.9% | Not measured | Only Muse Spark 1.2 measured |
| TaxEval (Vals AI) | 80.4% | 70.8% | Muse Spark 1.2 |
| MortgageTax (Vals AI) | 65.4% | 64.9% | Muse Spark 1.2 |
| MedCode (Vals AI) | 49.4% | 28.7% | Muse Spark 1.2 |
| SimpleQA Verified | 60.3% | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: science | 1500 | 1467 | Muse Spark 1.2 |
| LMArena Text: medicine and healthcare | 1496 | 1437 | Muse Spark 1.2 |
| LMArena Text: legal and government | 1517 | 1447 | Muse Spark 1.2 |
| LMArena Text: business and finance | 1484 | 1438 | Muse Spark 1.2 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Muse Spark 1.2 | Qwen3.8 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% | 75.9% | Qwen3.8 27B |
GeneralLike-for-likePublic boards, shown as published, kept out of the index203
| Benchmark | Muse Spark 1.2 | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench data analysis | 76.5% | 76.6% | Qwen3.8 27B |
| Public Benefits Bench (Vals AI) | 68.5% | Not measured | Only Muse Spark 1.2 measured |
| SAGE (Vals AI) | 47.7% | 52.4% | Qwen3.8 27B |
| MedScribe (Vals AI) | 90.1% | 83.8% | Muse Spark 1.2 |
| Vals Multimodal Index | 69.8% | Not measured | Only Muse Spark 1.2 measured |
| Long context reasoning (AA-LCR) | 79.0% | 82.0% | Qwen3.8 27B |
| DTBench | 94.7% | 88.0% | Muse Spark 1.2 |
| LMCA | 48.4% | 41.4% | Muse Spark 1.2 |
| Surface Evolver Bench | Not measured | 45.0% | Only Qwen3.8 27B measured |
| LMArena Text | 1482 | 1440 | Muse Spark 1.2 |
| LMArena Text: instruction following | 1462 | 1436 | Muse Spark 1.2 |
| LMArena Text: creative writing | 1436 | 1383 | Muse Spark 1.2 |
| LMArena Vision | 1304 | 1269 | Muse Spark 1.2 |
| LMArena Text: English | 1483 | 1448 | Muse Spark 1.2 |
| LMArena Text: non-English | 1476 | 1428 | Muse Spark 1.2 |
| LMArena Text: Chinese | 1509 | 1501 | Muse Spark 1.2 |
| LMArena Text: German | Not measured | 1443 | Only Qwen3.8 27B measured |
| LMArena Text: Japanese | Not measured | 1387 | Only Qwen3.8 27B measured |
| LMArena Text: Korean | 1462 | 1384 | Muse Spark 1.2 |
| LMArena Text: French | 1495 | 1465 | Muse Spark 1.2 |
| LMArena Text: Spanish | 1484 | 1449 | Muse Spark 1.2 |
| LMArena Text: Russian | 1483 | 1415 | Muse Spark 1.2 |
| LMArena Text: Polish | Not measured | 1439 | Only Qwen3.8 27B measured |
| LMArena Text: multi-turn | 1502 | 1440 | Muse Spark 1.2 |
| LMArena Text: longer queries | 1473 | 1448 | Muse Spark 1.2 |
| LMArena Text: writing and language | 1453 | 1405 | Muse Spark 1.2 |
| LMArena Text: entertainment and media | 1443 | 1393 | Muse Spark 1.2 |
| LMArena Vision: English | 1291 | 1267 | Muse Spark 1.2 |
| LMArena Vision: Chinese | Not measured | 1326 | Only Qwen3.8 27B measured |
| LMArena Vision: reading text | 1313 | 1281 | Muse Spark 1.2 |
| LMArena Vision: humor | Not measured | 1235 | Only Qwen3.8 27B measured |
| LMArena Vision: creative writing | Not measured | 1237 | Only Qwen3.8 27B measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Spark 1.2 | Qwen3.8 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
Qwen3.8 27B costs less
Repository review
50K input + 3K output tokens
Qwen3.8 27B costs less
Agent loop
200K input + 10K output tokens
Qwen3.8 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 | Qwen3.8 27B |
|---|---|---|
| Maker | Meta | Qwen |
| Weights | No public weights listed | Open weights |
| Released | August 5, 2026 | August 14, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $1.25 | $0.04 |
| Output $/Mtok | $4.25 | $1.35 |
| Coding index | 65.1 | 73.6 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $0.64 | $1.26 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark 1.2 better than Qwen3.8 27B for coding?
Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 65.1 for Muse Spark 1.2. Pick Muse Spark 1.2 when a solved task costs $0.64 against $1.26, or when the context window is larger, 1.05M against 1M tokens.
Which is cheaper, Muse Spark 1.2 or Qwen3.8 27B?
Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.8 27B costs $0.04 and $1.35. Per solved SWE-bench Verified task, Muse Spark 1.2 costs $0.64 and Qwen3.8 27B $1.26.
Which has the bigger context window, Muse Spark 1.2 or Qwen3.8 27B?
Muse Spark 1.2, with 1.05M tokens against 1M.
How many benchmarks is the Muse Spark 1.2 vs Qwen3.8 27B comparison based on?
71 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 Qwen3.8 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.