Muse Spark 1.3 vs Qwen3 30B A3B
Muse Spark 1.3 leads Qwen3 30B A3B on the Artificial Analysis Intelligence Index, 48.1 to 7.6, and Qwen3 30B A3B costs 8.5x less per output token ($0.50 vs $4.25 per million). Updated October 22, 2026; 42 benchmarks have a result for both.
Muse Spark 1.3 or Qwen3 30B A3B: which to pick
Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Qwen3 30B A3B has none, so the two cannot be ranked on coding.
Pick Qwen3 30B A3B for output tokens 8.5x cheaper ($0.50 vs $4.25 per million).
- Shared results
- 42
- Muse Spark 1.3 only
- 54
- Qwen3 30B A3B only
- 11
- Like-for-like categories
- 7 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
No call
Only Muse Spark 1.3 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Muse Spark 1.3
Muse Spark 1.3 leads, 48.1 against 7.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Muse Spark 1.3 has a AA Agentic Index result, 55.5.
Directional only
Web design
Design Arena: websites
Muse Spark 1.3
Muse Spark 1.3 leads, 1356 against 954.
Same board, both measured
Long documents
Listed context window
Muse Spark 1.3
Muse Spark 1.3 takes 1.05M tokens against 41K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 30B A3B
Muse Spark 1.3 $0.0034, Qwen3 30B A3B $0.0004 per turn.
List prices
At a glance
- Coding index
- Muse Spark 1.3 57.4 from 4 benchmarks, Qwen3 30B A3B not benchmarked.
- Widest category
- Web design, 50.7 points apart on average over 5 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Muse Spark 1.3 83.0% against Qwen3 30B A3B 0.0%, 83.0 points apart on a 0 to 100 scale.
- Output price
- Muse Spark 1.3 $4.25 against Qwen3 30B A3B $0.50 per million output tokens, 8.5x apart.
- Context window
- Muse Spark 1.3 takes 1.05M tokens, Qwen3 30B A3B 41K.
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 1.3 | Bars | Qwen3 30B A3B | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 2 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 5 | 0 | ||
| General | 20 | 0 | ||
| All shared boards | 42 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Muse Spark 1.3 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| LiveBench coding | 90.2% | Not measured | Only Muse Spark 1.3 measured |
| LMArena WebDev | 1659 | Not measured | Only Muse Spark 1.3 measured |
| AA Coding Index | 75.8 | Not measured | Only Muse Spark 1.3 measured |
| Terminal-Bench 4 (Vals AI) | 10.6% | Not measured | Only Muse Spark 1.3 measured |
| Vibe Code Bench (Vals AI) | 82.9% | Not measured | Only Muse Spark 1.3 measured |
| Code migration (Vals AI) | 27.6% | Not measured | Only Muse Spark 1.3 measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Muse Spark 1.3 measured |
| IOI (Vals AI) | 43.9% | Not measured | Only Muse Spark 1.3 measured |
| Terminal-Bench 2.1 (Vals AI) | 72.3% | Not measured | Only Muse Spark 1.3 measured |
| CyberBench (Vals AI) | 69.4% | Not measured | Only Muse Spark 1.3 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 50.6% | Only Qwen3 30B A3B measured |
| SciCode | 59.7% | Not measured | Only Muse Spark 1.3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 6.8% | Only Qwen3 30B A3B measured |
| FrontierSWE | 25.8% | Not measured | Only Muse Spark 1.3 measured |
| WeirdML | Not measured | 29.8% | Only Qwen3 30B A3B measured |
| ALE-Bench | 1688.3 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: coding | 1510 | 1337 | Muse Spark 1.3 |
| LMArena Text: software and IT | 1511 | 1340 | Muse Spark 1.3 |
| LMArena WebDev: React | 1672 | Not measured | Only Muse Spark 1.3 measured |
| LMArena WebDev: HTML | 1653 | Not measured | Only Muse Spark 1.3 measured |
| LMArena WebDev: from an image | 1640 | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 22 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Spark 1.3 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| AA Intelligence Index | 48.1 | 7.6 | Muse Spark 1.3 |
| Epoch Capabilities Index | 157.2 | 137.3 | Muse Spark 1.3 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
| Benchmark | Muse Spark 1.3 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| AA Agentic Index | 55.5 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: agents building web apps | 1297 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: agents building full-stack apps | 1295 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: agents building mobile apps | 1217 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: agents building Godot games | 1241 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: PowerPoint slides | 1217 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: spreadsheets | 1075 | Not measured | Only Muse Spark 1.3 measured |
| LiveBench research | 68.6% | Not measured | Only Muse Spark 1.3 measured |
| LiveBench browser | 80.0% | Not measured | Only Muse Spark 1.3 measured |
| LiveBench long agentic | 40.4% | Not measured | Only Muse Spark 1.3 measured |
| Finance Agent (Vals AI) | 58.9% | Not measured | Only Muse Spark 1.3 measured |
| Tax Agent Bench (Vals AI) | 36.0% | Not measured | Only Muse Spark 1.3 measured |
| Legal Research Bench (Vals AI) | 40.9% | Not measured | Only Muse Spark 1.3 measured |
| Excel Modeling Benchmark (Vals AI) | 62.7% | Not measured | Only Muse Spark 1.3 measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only Muse Spark 1.3 measured |
| τ²-Bench Telecom | Not measured | 26.0% | Only Qwen3 30B A3B measured |
| APEX-Agents | 58.6% | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Muse Spark 1.3 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| LiveBench reasoning | 89.7% | Not measured | Only Muse Spark 1.3 measured |
| GPQA Diamond (Artificial Analysis run) | 94.1% | 61.6% | Muse Spark 1.3 |
| Humanity's Last Exam (Artificial Analysis run) | 48.7% | 6.2% | Muse Spark 1.3 |
| GPQA Diamond (Epoch AI run) | Not measured | 61.7% | Only Qwen3 30B A3B measured |
| Chess puzzles | 37.0% | Not measured | Only Muse Spark 1.3 measured |
| Mystery game puzzles | 25.0% | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: hard prompts | 1503 | 1314 | Muse Spark 1.3 |
| LMArena Text: expert | 1519 | 1314 | Muse Spark 1.3 |
| LMArena Text: hard prompts in English | 1500 | 1329 | Muse Spark 1.3 |
| LMArena Vision: diagrams | 1330 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Vision: homework | 1296 | Not measured | Only Muse Spark 1.3 measured |
| Humanity's Last Exam (Scale run) | 25.4% | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Spark 1.3 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 72.3 | Only Qwen3 30B A3B measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 72.3% | Only Qwen3 30B A3B measured |
| OTIS Mock AIME | 99.2% | 62.8% | Muse Spark 1.3 |
| FrontierMath, tiers 1 to 3 | 74.4% | Not measured | Only Muse Spark 1.3 measured |
| FrontierMath, tier 4 | 46.3% | Not measured | Only Muse Spark 1.3 measured |
| ProofBench | 58.0% | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: math | 1497 | 1355 | Muse Spark 1.3 |
| LMArena Text: mathematical work | 1491 | 1363 | Muse Spark 1.3 |
| MathArena | 43.0% | 9.4% | Muse Spark 1.3 |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Spark 1.3 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 77.7% | Only Qwen3 30B A3B measured |
| LMArena Text: science | 1507 | 1321 | Muse Spark 1.3 |
| LMArena Text: medicine and healthcare | 1493 | 1318 | Muse Spark 1.3 |
| LMArena Text: legal and government | 1499 | 1314 | Muse Spark 1.3 |
| LMArena Text: business and finance | 1490 | 1309 | Muse Spark 1.3 |
| PRBench Finance | 59.5% | Not measured | Only Muse Spark 1.3 measured |
| PRBench Legal | 61.6% | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 13 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Muse Spark 1.3 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| Design Arena: websites | 1356 | 954 | Muse Spark 1.3 |
| Design Arena: UI components | 1350 | 943 | Muse Spark 1.3 |
| Design Arena: game dev | 1328 | 898 | Muse Spark 1.3 |
| Design Arena: data viz | 1344 | 967 | Muse Spark 1.3 |
| Design Arena: 3D | 1358 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: all code categories | 1352 | 941 | Muse Spark 1.3 |
| Design Arena: SVG | 1301 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: ASCII art | 1283 | Not measured | Only Muse Spark 1.3 measured |
| LiveBench design | 74.8% | Not measured | Only Muse Spark 1.3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index200
| Benchmark | Muse Spark 1.3 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.6% | Not measured | Only Muse Spark 1.3 measured |
| IFBench | Not measured | 41.5% | Only Qwen3 30B A3B measured |
| Long context reasoning (AA-LCR) | 83.0% | 0.0% | Muse Spark 1.3 |
| DTBench | 96.5% | 60.3% | Muse Spark 1.3 |
| LMCA | 53.9% | 15.8% | Muse Spark 1.3 |
| Fiction.LiveBench | Not measured | 40.6% | Only Qwen3 30B A3B measured |
| Creative writing (Lech Mazur) | Not measured | 75.3% | Only Qwen3 30B A3B measured |
| LMArena Text | 1490 | 1317 | Muse Spark 1.3 |
| LMArena Text: instruction following | 1479 | 1283 | Muse Spark 1.3 |
| LMArena Text: creative writing | 1462 | 1271 | Muse Spark 1.3 |
| LMArena Vision | 1308 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: English | 1495 | 1335 | Muse Spark 1.3 |
| LMArena Text: non-English | 1481 | 1295 | Muse Spark 1.3 |
| LMArena Text: Chinese | 1532 | 1347 | Muse Spark 1.3 |
| LMArena Text: German | 1513 | 1307 | Muse Spark 1.3 |
| LMArena Text: Japanese | 1470 | 1254 | Muse Spark 1.3 |
| LMArena Text: Korean | 1490 | 1261 | Muse Spark 1.3 |
| LMArena Text: French | 1511 | 1352 | Muse Spark 1.3 |
| LMArena Text: Spanish | 1496 | 1317 | Muse Spark 1.3 |
| LMArena Text: Russian | 1491 | 1291 | Muse Spark 1.3 |
| LMArena Text: Polish | 1490 | 1299 | Muse Spark 1.3 |
| LMArena Text: multi-turn | 1487 | 1307 | Muse Spark 1.3 |
| LMArena Text: longer queries | 1488 | 1312 | Muse Spark 1.3 |
| LMArena Text: writing and language | 1470 | 1290 | Muse Spark 1.3 |
| LMArena Text: entertainment and media | 1457 | 1258 | Muse Spark 1.3 |
| LMArena Vision: English | 1298 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Vision: Chinese | 1384 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Vision: reading text | 1319 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Vision: humor | 1293 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Vision: creative writing | 1296 | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Spark 1.3 | Qwen3 30B A3B | 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 30B A3B costs less
Repository review
50K input + 3K output tokens
Qwen3 30B A3B costs less
Agent loop
200K input + 10K output tokens
Qwen3 30B A3B 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 1.3 | Qwen3 30B A3B |
|---|---|---|
| Maker | Meta | Qwen |
| Weights | No public weights listed | Open weights |
| Released | September 2, 2026 | April 28, 2025 |
| Context window | 1.05M | 41K |
| Input $/Mtok | $1.25 | $0.12 |
| Output $/Mtok | $4.25 | $0.50 |
| Coding index | 57.4 | Not benchmarked |
| Independent measurements behind it | 4 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark 1.3 better than Qwen3 30B A3B for coding?
Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Qwen3 30B A3B has none, so the two cannot be ranked on coding. Pick Qwen3 30B A3B for output tokens 8.5x cheaper ($0.50 vs $4.25 per million).
Which is cheaper, Muse Spark 1.3 or Qwen3 30B A3B?
Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3 30B A3B costs $0.12 and $0.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Spark 1.3 or Qwen3 30B A3B?
Muse Spark 1.3, with 1.05M tokens against 41K.
How many benchmarks is the Muse Spark 1.3 vs Qwen3 30B A3B comparison based on?
42 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.3's coding index rests on 4 independent benchmarks and Qwen3 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.