Muse Spark 1.2 vs Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads Muse Spark 1.2 on coding, 62.4 to 55.7 on the Vibe Coding Index, and Muse Spark 1.2 costs 1.4x less per output token ($4.25 vs $6.00 per million). Updated October 22, 2026; 90 benchmarks have a result for both.
Muse Spark 1.2 or Qwen3.8 Max (0902): which to pick
Pick Qwen3.8 Max (0902) for coding: it scores 62.4 on the Vibe Coding Index against 55.7 for Muse Spark 1.2.
Pick Muse Spark 1.2 for output tokens 1.4x cheaper ($4.25 vs $6.00 per million) and a lower cost per solved task ($0.64 against $1.32).
- Shared results
- 90
- Muse Spark 1.2 only
- 7
- Qwen3.8 Max (0902) only
- 24
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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, six public coding benchmarks
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) scores 62.4 against 55.7.
5 benchmarks behind each score
Intelligence
AA Intelligence Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 45.4 against 39.6.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 56.0 against 43.2.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Qwen3.8 Max (0902) has a GPQA Diamond result, 93.7%.
Directional only
Knowledge
MMLU Pro
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 88.6% against 88.3%.
Same board, both measured
Web design
Design Arena: websites
Muse Spark 1.2
Muse Spark 1.2 leads, 1312 against 1275.
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, Qwen3.8 Max (0902) $0.0050 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 Max (0902) $1.32.
Published attempt cost and pass rate
At a glance
- Coding index
- Muse Spark 1.2 55.7 from 5 benchmarks, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
- Widest category
- Coding, 13.1 points apart on average over 18 shared benchmarks.
- Widest single gap
- IOI (Vals AI): Muse Spark 1.2 21.8% against Qwen3.8 Max (0902) 68.9%, 47.1 points apart on a 0 to 100 scale.
- Output price
- Muse Spark 1.2 $4.25 against Qwen3.8 Max (0902) $6.00 per million output tokens, 1.4x apart.
- Context window
- Muse Spark 1.2 takes 1.05M tokens, Qwen3.8 Max (0902) 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 Max (0902) | Ties |
|---|---|---|---|---|
| Coding | 11 | 7 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 4 | 10 | ||
| Reasoning | 2 | 7 | ||
| Math | 0 | 3 | ||
| Knowledge | 8 | 3 | ||
| Web design | 4 | 4 | ||
| General | 9 | 16 | ||
| All shared boards | 38 | 52 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index117
| Benchmark | Muse Spark 1.2 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| LiveBench coding | 78.2% | 60.3% | Muse Spark 1.2 |
| LMArena WebDev | 1534 | 1674 | Qwen3.8 Max (0902) |
| AA Coding Index | 72.2 | 76.2 | Qwen3.8 Max (0902) |
| LiveCodeBench (Vals AI) | Not measured | 87.8% | Only Qwen3.8 Max (0902) measured |
| SWE-bench Verified (Vals AI) | 86.6% | 85.6% | Muse Spark 1.2 |
| Terminal-Bench 4 (Vals AI) | 6.1% | 34.3% | Qwen3.8 Max (0902) |
| Vibe Code Bench (Vals AI) | 79.1% | 64.7% | Muse Spark 1.2 |
| Code migration (Vals AI) | 29.9% | 24.0% | Muse Spark 1.2 |
| ProgramBench (Vals AI) | 0.5% | 0.0% | Muse Spark 1.2 |
| IOI (Vals AI) | 21.8% | 68.9% | Qwen3.8 Max (0902) |
| Terminal-Bench 2.1 (Vals AI) | 69.7% | 67.4% | Muse Spark 1.2 |
| SWE-bench Multimodal (Vals AI) | Not measured | 42.5% | Only Qwen3.8 Max (0902) measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 12.8% | Only Qwen3.8 Max (0902) measured |
| SkillsBench (Vals AI) | 53.0% | 42.0% | Muse Spark 1.2 |
| CyberBench (Vals AI) | 69.5% | 28.6% | Muse Spark 1.2 |
| SciCode | 57.4% | 53.2% | Muse Spark 1.2 |
| FrontierSWE | 12.0% | 17.8% | Qwen3.8 Max (0902) |
| WeirdML | 60.3% | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: coding | 1505 | 1502 | Muse Spark 1.2 |
| LMArena Text: software and IT | 1505 | 1498 | Muse Spark 1.2 |
| LMArena WebDev: React | 1526 | 1692 | Qwen3.8 Max (0902) |
| LMArena WebDev: HTML | 1543 | 1649 | Qwen3.8 Max (0902) |
| LMArena WebDev: from an image | Not measured | 1637 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Muse Spark 1.2 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.6 | 45.4 | Qwen3.8 Max (0902) |
| Epoch Capabilities Index | 155.1 | 157.4 | Qwen3.8 Max (0902) |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index410
| Benchmark | Muse Spark 1.2 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Agentic Index | 43.2 | 56.0 | Qwen3.8 Max (0902) |
| Design Arena: agents building web apps | 1221 | 1300 | Qwen3.8 Max (0902) |
| Design Arena: agents building full-stack apps | 1210 | 1305 | Qwen3.8 Max (0902) |
| Design Arena: agents building mobile apps | 1181 | 1224 | Qwen3.8 Max (0902) |
| Design Arena: agents building Android apps | 1222 | 1190 | Muse Spark 1.2 |
| Design Arena: agents building Godot games | Not measured | 1234 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building games | 1178 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: HTML slides | 1074 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: PowerPoint slides | 1170 | 1232 | Qwen3.8 Max (0902) |
| Design Arena: spreadsheets | Not measured | 993 | Only Qwen3.8 Max (0902) measured |
| LiveBench research | 67.7% | 69.9% | Qwen3.8 Max (0902) |
| LiveBench browser | 36.0% | 32.0% | Muse Spark 1.2 |
| LiveBench long agentic | 21.3% | 42.3% | Qwen3.8 Max (0902) |
| SREBench (Vals AI) | 0.0% | Not measured | Only Muse Spark 1.2 measured |
| Finance Agent (Vals AI) | 60.6% | 50.6% | Muse Spark 1.2 |
| Tax Agent Bench (Vals AI) | 32.8% | 32.1% | Muse Spark 1.2 |
| Legal Research Bench (Vals AI) | 43.8% | 47.6% | Qwen3.8 Max (0902) |
| Excel Modeling Benchmark (Vals AI) | 57.0% | 60.1% | Qwen3.8 Max (0902) |
| BioMysteryBench (Vals AI) | 64.8% | Not measured | Only Muse Spark 1.2 measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 12.9% | Only Qwen3.8 Max (0902) measured |
| APEX-Agents | 45.4% | 63.3% | Qwen3.8 Max (0902) |
| LMArena Search | Not measured | 1261 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 20 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index27
| Benchmark | Muse Spark 1.2 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 93.7% | Only Qwen3.8 Max (0902) measured |
| LiveBench reasoning | 90.0% | 88.2% | Muse Spark 1.2 |
| MysteryMechanism (Vals AI) | Not measured | 23.9% | Only Qwen3.8 Max (0902) measured |
| MMMU Pro (Vals AI) | 86.1% | 88.0% | Qwen3.8 Max (0902) |
| GPQA Diamond (Artificial Analysis run) | 90.4% | 92.8% | Qwen3.8 Max (0902) |
| Humanity's Last Exam (Artificial Analysis run) | 45.5% | 43.1% | Muse Spark 1.2 |
| GPQA Diamond (Epoch AI run) | Not measured | 92.7% | Only Qwen3.8 Max (0902) measured |
| SimpleBench | 74.5% | Not measured | Only Muse Spark 1.2 measured |
| Chess puzzles | 27.0% | 46.0% | Qwen3.8 Max (0902) |
| Mystery game puzzles | Not measured | 38.0% | Only Qwen3.8 Max (0902) measured |
| LMArena Text: hard prompts | 1489 | 1496 | Qwen3.8 Max (0902) |
| LMArena Text: expert | 1475 | 1507 | Qwen3.8 Max (0902) |
| LMArena Text: hard prompts in English | 1487 | 1503 | Qwen3.8 Max (0902) |
| LMArena Vision: diagrams | 1317 | 1323 | Qwen3.8 Max (0902) |
| LMArena Vision: homework | Not measured | 1336 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Muse Spark 1.2 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 100.0% | Only Qwen3.8 Max (0902) measured |
| FrontierMath, tiers 1 to 3 | Not measured | 74.7% | Only Qwen3.8 Max (0902) measured |
| FrontierMath, tier 4 | Not measured | 46.3% | Only Qwen3.8 Max (0902) measured |
| ProofBench | 43.0% | 58.0% | Qwen3.8 Max (0902) |
| LMArena Text: math | 1484 | 1501 | Qwen3.8 Max (0902) |
| LMArena Text: mathematical work | 1480 | 1491 | Qwen3.8 Max (0902) |
| MathArena | Not measured | 51.6% | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index83
| Benchmark | Muse Spark 1.2 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| MMLU Pro | 88.3% | 88.6% | Qwen3.8 Max (0902) |
| LegalBench (Vals AI) | 85.3% | 83.6% | Muse Spark 1.2 |
| CorpFin (Vals AI) | 70.9% | 65.8% | Muse Spark 1.2 |
| TaxEval (Vals AI) | 80.4% | 75.5% | Muse Spark 1.2 |
| MortgageTax (Vals AI) | 65.4% | 64.0% | Muse Spark 1.2 |
| MedCode (Vals AI) | 49.4% | 40.7% | Muse Spark 1.2 |
| SimpleQA Verified | 60.3% | 47.3% | Muse Spark 1.2 |
| LMArena Text: science | 1500 | 1512 | Qwen3.8 Max (0902) |
| LMArena Text: medicine and healthcare | 1496 | 1503 | Qwen3.8 Max (0902) |
| LMArena Text: legal and government | 1517 | 1492 | Muse Spark 1.2 |
| LMArena Text: business and finance | 1484 | 1480 | Muse Spark 1.2 |
| Neither model has a result on the other 9 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index44
| Benchmark | Muse Spark 1.2 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| Design Arena: websites | 1312 | 1275 | Muse Spark 1.2 |
| Design Arena: UI components | 1299 | 1336 | Qwen3.8 Max (0902) |
| Design Arena: game dev | 1300 | 1312 | Qwen3.8 Max (0902) |
| Design Arena: data viz | 1334 | 1282 | Muse Spark 1.2 |
| Design Arena: 3D | 1300 | 1336 | Qwen3.8 Max (0902) |
| Design Arena: all code categories | 1312 | 1292 | Muse Spark 1.2 |
| Design Arena: SVG | 1283 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: ASCII art | 1284 | 1200 | Muse Spark 1.2 |
| LiveBench design | 67.1% | 78.6% | Qwen3.8 Max (0902) |
GeneralLike-for-likePublic boards, shown as published, kept out of the index916
| Benchmark | Muse Spark 1.2 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| LiveBench data analysis | 76.5% | 78.4% | Qwen3.8 Max (0902) |
| Public Benefits Bench (Vals AI) | 68.5% | 67.1% | Muse Spark 1.2 |
| SAGE (Vals AI) | 47.7% | 51.2% | Qwen3.8 Max (0902) |
| MedScribe (Vals AI) | 90.1% | 85.0% | Muse Spark 1.2 |
| Vals Multimodal Index | 69.8% | 65.4% | Muse Spark 1.2 |
| Long context reasoning (AA-LCR) | 79.0% | 80.3% | Qwen3.8 Max (0902) |
| DTBench | 94.7% | 92.0% | Muse Spark 1.2 |
| LMCA | 48.4% | 46.2% | Muse Spark 1.2 |
| Furniture assembly | Not measured | 20.0% | Only Qwen3.8 Max (0902) measured |
| LMArena Text | 1482 | 1483 | Qwen3.8 Max (0902) |
| LMArena Text: instruction following | 1462 | 1481 | Qwen3.8 Max (0902) |
| LMArena Text: creative writing | 1436 | 1477 | Qwen3.8 Max (0902) |
| LMArena Vision | 1304 | 1313 | Qwen3.8 Max (0902) |
| LMArena Text: English | 1483 | 1491 | Qwen3.8 Max (0902) |
| LMArena Text: non-English | 1476 | 1473 | Muse Spark 1.2 |
| LMArena Text: Chinese | 1509 | 1539 | Qwen3.8 Max (0902) |
| LMArena Text: German | Not measured | 1478 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Japanese | Not measured | 1473 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Korean | 1462 | 1460 | Muse Spark 1.2 |
| LMArena Text: French | 1495 | 1498 | Qwen3.8 Max (0902) |
| LMArena Text: Spanish | 1484 | 1489 | Qwen3.8 Max (0902) |
| LMArena Text: Russian | 1483 | 1482 | Muse Spark 1.2 |
| LMArena Text: Polish | Not measured | 1471 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: multi-turn | 1502 | 1489 | Muse Spark 1.2 |
| LMArena Text: longer queries | 1473 | 1488 | Qwen3.8 Max (0902) |
| LMArena Text: writing and language | 1453 | 1477 | Qwen3.8 Max (0902) |
| LMArena Text: entertainment and media | 1443 | 1464 | Qwen3.8 Max (0902) |
| LMArena Vision: English | 1291 | 1311 | Qwen3.8 Max (0902) |
| LMArena Vision: Chinese | Not measured | 1358 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: reading text | 1313 | 1322 | Qwen3.8 Max (0902) |
| LMArena Vision: humor | Not measured | 1304 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: creative writing | Not measured | 1312 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Spark 1.2 | Qwen3.8 Max (0902) | 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 | Qwen3.8 Max (0902) |
|---|---|---|
| Maker | Meta | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | August 5, 2026 | September 3, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $1.25 | $2.00 |
| Output $/Mtok | $4.25 | $6.00 |
| Coding index | 55.7 | 62.4 |
| Independent measurements behind it | 5 | 5 |
| Cost per solved task | $0.64 | $1.32 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark 1.2 better than Qwen3.8 Max (0902) for coding?
Pick Qwen3.8 Max (0902) for coding: it scores 62.4 on the Vibe Coding Index against 55.7 for Muse Spark 1.2. Pick Muse Spark 1.2 for output tokens 1.4x cheaper ($4.25 vs $6.00 per million) and a lower cost per solved task ($0.64 against $1.32).
Which is cheaper, Muse Spark 1.2 or Qwen3.8 Max (0902)?
Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Per solved SWE-bench Verified task, Muse Spark 1.2 costs $0.64 and Qwen3.8 Max (0902) $1.32.
Which has the bigger context window, Muse Spark 1.2 or Qwen3.8 Max (0902)?
Muse Spark 1.2, with 1.05M tokens against 1M.
How many benchmarks is the Muse Spark 1.2 vs Qwen3.8 Max (0902) comparison based on?
90 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.2's coding index rests on 5 independent benchmarks and Qwen3.8 Max (0902)'s on 5. Where only one model has a result, the page says so instead of naming a winner.