Muse Ember vs Qwen3.7 Plus
Muse Ember leads Qwen3.7 Plus on coding, 64.9 to 33.2 on the Vibe Coding Index, and Muse Ember costs 2.6x less per output token ($0.50 vs $1.28 per million). Updated November 14, 2026; 5 benchmarks have a result for both.
Muse Ember or Qwen3.7 Plus: which to pick
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.
Qwen3.7 Plus is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 5
- Muse Ember only
- 10
- Qwen3.7 Plus only
- 73
- Like-for-like categories
- 3 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
Muse Ember
Muse Ember scores 64.9 against 33.2.
3 and 2 benchmarks behind the scores
Agentic work
AA Agentic Index
No call
Only Qwen3.7 Plus has a AA Agentic Index result, 17.5.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3.7 Plus has a Design Arena: websites result, 1261.
Directional only
General
Vals Index
No call
Only Muse Ember has a Vals Index result, 60.5%.
Directional only
Long documents
Listed context window
Muse Ember
Muse Ember takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Ember
Muse Ember $0.0003, Qwen3.7 Plus $0.0010 per turn.
List prices
At a glance
- Coding index
- Muse Ember 64.9 from 3 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
- Widest category
- Coding, 38.6 points apart on average over 2 shared benchmarks.
- Widest single gap
- Terminal-Bench 4.0 (Artificial Analysis run): Muse Ember 40.9% against Qwen3.7 Plus 1.0%, 39.9 points apart on a 0 to 100 scale.
- Output price
- Muse Ember $0.50 against Qwen3.7 Plus $1.28 per million output tokens, 2.6x apart.
- Context window
- Muse Ember takes 1.05M tokens, Qwen3.7 Plus 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 Ember | Bars | Qwen3.7 Plus | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 1 | 0 | ||
| All shared boards | 5 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Muse Ember | Qwen3.7 Plus | Leader |
|---|---|---|---|
| LMArena WebDev | 1609 | Not measured | Only Muse Ember measured |
| AA Coding Index | Not measured | 55.9 | Only Qwen3.7 Plus measured |
| Terminal-Bench 4 (Vals AI) | 39.4% | Not measured | Only Muse Ember measured |
| Vibe Code Bench (Vals AI) | 83.7% | 46.4% | Muse Ember |
| Code migration (Vals AI) | Not measured | 12.9% | Only Qwen3.7 Plus measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 52.8% | Only Qwen3.7 Plus measured |
| SkillsBench (Vals AI) | Not measured | 54.3% | Only Qwen3.7 Plus measured |
| SciCode | Not measured | 46.1% | Only Qwen3.7 Plus measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 47.0% | Only Qwen3.7 Plus measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 40.9% | 1.0% | Muse Ember |
| FrontierCode 2.0 | 27.2% | Not measured | Only Muse Ember measured |
| FrontierCode | Not measured | 10.2% | Only Qwen3.7 Plus measured |
| LMArena Text: coding | Not measured | 1473 | Only Qwen3.7 Plus measured |
| LMArena Text: software and IT | Not measured | 1473 | Only Qwen3.7 Plus measured |
| LMArena WebDev: React | 1616 | Not measured | Only Muse Ember measured |
| LMArena WebDev: HTML | 1621 | Not measured | Only Muse Ember measured |
| GameBench 2 | Not measured | 31.1 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 35 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Muse Ember | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Epoch Capabilities Index | Not measured | 147.9 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Ember | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 17.5 | Only Qwen3.7 Plus measured |
| Finance Agent (Vals AI) | Not measured | 38.2% | Only Qwen3.7 Plus measured |
| Tax Agent Bench (Vals AI) | 38.2% | 10.5% | Muse Ember |
| Legal Research Bench (Vals AI) | 49.0% | 16.4% | Muse Ember |
| Harvey's Legal Agent Benchmark (Vals AI) | 25.0% | Not measured | Only Muse Ember measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 49.3% | Only Qwen3.7 Plus measured |
| τ²-Bench Telecom | Not measured | 93.0% | Only Qwen3.7 Plus measured |
| APEX-Agents | 64.3% | Not measured | Only Muse Ember measured |
| OSWorld 2.0 | Not measured | 2.8% | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Ember | Qwen3.7 Plus | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 90.0% | Only Qwen3.7 Plus measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 35.6% | Only Qwen3.7 Plus measured |
| HLE-Diamond (Artificial Analysis run) | 25.1% | 13.9% | Muse Ember |
| CritPt v2, hard subset (Artificial Analysis run) | 39.0% | Not measured | Only Muse Ember measured |
| GPQA Diamond (Epoch AI run) | Not measured | 87.9% | Only Qwen3.7 Plus measured |
| Mystery game puzzles | Not measured | 17.0% | Only Qwen3.7 Plus measured |
| LMArena Text: hard prompts | Not measured | 1459 | Only Qwen3.7 Plus measured |
| LMArena Text: expert | Not measured | 1467 | Only Qwen3.7 Plus measured |
| LMArena Text: hard prompts in English | Not measured | 1460 | Only Qwen3.7 Plus measured |
| LMArena Vision: diagrams | Not measured | 1289 | Only Qwen3.7 Plus measured |
| LMArena Vision: homework | Not measured | 1295 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 15 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Muse Ember | Qwen3.7 Plus | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 93.3% | Only Qwen3.7 Plus measured |
| FrontierMath, tiers 1 to 3 | Not measured | 34.4% | Only Qwen3.7 Plus measured |
| LMArena Text: math | Not measured | 1466 | Only Qwen3.7 Plus measured |
| LMArena Text: mathematical work | Not measured | 1470 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Muse Ember | Qwen3.7 Plus | Leader |
|---|---|---|---|
| MortgageTax (Vals AI) | Not measured | 66.2% | Only Qwen3.7 Plus measured |
| AA-Omniscience | 7.7 | Not measured | Only Muse Ember measured |
| LMArena Text: science | Not measured | 1465 | Only Qwen3.7 Plus measured |
| LMArena Text: medicine and healthcare | Not measured | 1466 | Only Qwen3.7 Plus measured |
| LMArena Text: legal and government | Not measured | 1451 | Only Qwen3.7 Plus measured |
| LMArena Text: business and finance | Not measured | 1435 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 15 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Muse Ember | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1261 | Only Qwen3.7 Plus measured |
| Design Arena: UI components | Not measured | 1255 | Only Qwen3.7 Plus measured |
| Design Arena: game dev | Not measured | 1249 | Only Qwen3.7 Plus measured |
| Design Arena: data viz | Not measured | 1275 | Only Qwen3.7 Plus measured |
| Design Arena: 3D | Not measured | 1218 | Only Qwen3.7 Plus measured |
| Design Arena: all code categories | Not measured | 1259 | Only Qwen3.7 Plus measured |
| Design Arena: SVG | Not measured | 1200 | Only Qwen3.7 Plus measured |
| Design Arena: ASCII art | Not measured | 1134 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index32 boards, none shared
| Benchmark | Muse Ember | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Vals Index | 60.5% | Not measured | Only Muse Ember measured |
| SAGE (Vals AI) | Not measured | 89.2% | Only Qwen3.7 Plus measured |
| Vals Multimodal Index | Not measured | 53.9% | Only Qwen3.7 Plus measured |
| IFBench | Not measured | 78.0% | Only Qwen3.7 Plus measured |
| Long context reasoning (AA-LCR) | Not measured | 73.0% | Only Qwen3.7 Plus measured |
| GDPval-AA | Not measured | 774 | Only Qwen3.7 Plus measured |
| DTBench | Not measured | 84.0% | Only Qwen3.7 Plus measured |
| LMCA | Not measured | 37.6% | Only Qwen3.7 Plus measured |
| LMArena Text | Not measured | 1454 | Only Qwen3.7 Plus measured |
| LMArena Text: instruction following | Not measured | 1439 | Only Qwen3.7 Plus measured |
| LMArena Text: creative writing | Not measured | 1438 | Only Qwen3.7 Plus measured |
| LMArena Vision | Not measured | 1277 | Only Qwen3.7 Plus measured |
| LMArena Text: English | Not measured | 1458 | Only Qwen3.7 Plus measured |
| LMArena Text: non-English | Not measured | 1445 | Only Qwen3.7 Plus measured |
| LMArena Text: Chinese | Not measured | 1508 | Only Qwen3.7 Plus measured |
| LMArena Text: German | Not measured | 1468 | Only Qwen3.7 Plus measured |
| LMArena Text: Japanese | Not measured | 1411 | Only Qwen3.7 Plus measured |
| LMArena Text: Korean | Not measured | 1416 | Only Qwen3.7 Plus measured |
| LMArena Text: French | Not measured | 1472 | Only Qwen3.7 Plus measured |
| LMArena Text: Spanish | Not measured | 1454 | Only Qwen3.7 Plus measured |
| LMArena Text: Russian | Not measured | 1458 | Only Qwen3.7 Plus measured |
| LMArena Text: Polish | Not measured | 1449 | Only Qwen3.7 Plus measured |
| LMArena Text: multi-turn | Not measured | 1460 | Only Qwen3.7 Plus measured |
| LMArena Text: longer queries | Not measured | 1454 | Only Qwen3.7 Plus measured |
| LMArena Text: writing and language | Not measured | 1437 | Only Qwen3.7 Plus measured |
| LMArena Text: entertainment and media | Not measured | 1422 | Only Qwen3.7 Plus measured |
| LMArena Vision: English | Not measured | 1279 | Only Qwen3.7 Plus measured |
| LMArena Vision: Chinese | Not measured | 1331 | Only Qwen3.7 Plus measured |
| LMArena Vision: reading text | Not measured | 1288 | Only Qwen3.7 Plus measured |
| LMArena Vision: humor | Not measured | 1265 | Only Qwen3.7 Plus measured |
| LMArena Vision: creative writing | Not measured | 1264 | Only Qwen3.7 Plus measured |
| LMArena Document | Not measured | 1437 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Ember | Qwen3.7 Plus | 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 Ember costs less
Repository review
50K input + 3K output tokens
Muse Ember costs less
Agent loop
200K input + 10K output tokens
Muse Ember 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 Ember | Qwen3.7 Plus |
|---|---|---|
| Maker | Meta | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | November 9, 2026 | June 3, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $0.10 | $0.32 |
| Output $/Mtok | $0.50 | $1.28 |
| Coding index | 64.9 | 33.2 |
| Independent measurements behind it | 3 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Ember better than Qwen3.7 Plus for coding?
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Qwen3.7 Plus is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Muse Ember or Qwen3.7 Plus?
Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Ember or Qwen3.7 Plus?
Muse Ember, with 1.05M tokens against 1M.
How many benchmarks is the Muse Ember vs Qwen3.7 Plus comparison based on?
5 benchmarks have a result for both models as of November 14, 2026. Muse Ember's coding index rests on 3 independent benchmarks and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.