Muse Ember vs Nemotron 3.5 Super VL
Muse Ember leads Nemotron 3.5 Super VL on coding, 64.9 to 14.8 on the Vibe Coding Index, at about the same output price ($0.50 vs $0.50 per million). Updated November 14, 2026; 11 benchmarks have a result for both.
Muse Ember or Nemotron 3.5 Super VL: which to pick
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 14.8 for Nemotron 3.5 Super VL.
Nemotron 3.5 Super VL is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 11
- Muse Ember only
- 4
- Nemotron 3.5 Super VL only
- 21
- Like-for-like categories
- 5 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 14.8.
3 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only Nemotron 3.5 Super VL has a AA Intelligence Index result, 13.6.
Directional only
Web design
Design Arena: websites
No call
Only Nemotron 3.5 Super VL has a Design Arena: websites result, 1160.
Directional only
General
Vals Index
Muse Ember
Muse Ember leads, 60.5% against 29.8%.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Ember
Muse Ember $0.0003, Nemotron 3.5 Super VL $0.0004 per turn.
List prices
At a glance
- Coding index
- Muse Ember 64.9 from 3 benchmarks, Nemotron 3.5 Super VL 14.8 from 3 benchmarks.
- Widest category
- Coding, 48.6 points apart on average over 4 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Muse Ember 83.7% against Nemotron 3.5 Super VL 3.7%, 80.0 points apart on a 0 to 100 scale.
- Output price
- Both cost $0.50 per million output tokens.
- Context window
- Both take 1.05M tokens.
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 | Nemotron 3.5 Super VL | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Agentic work | 3 | 0 | ||
| Reasoning | 2 | 0 | ||
| Knowledge | 1 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 11 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
| Benchmark | Muse Ember | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 54.1% | Only Nemotron 3.5 Super VL measured |
| LMArena WebDev | 1609 | Not measured | Only Muse Ember measured |
| Terminal-Bench 4 (Vals AI) | 39.4% | 0.0% | Muse Ember |
| Vibe Code Bench (Vals AI) | 83.7% | 3.7% | Muse Ember |
| SciCode | Not measured | 47.8% | Only Nemotron 3.5 Super VL measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 40.9% | 0.0% | Muse Ember |
| FrontierCode 2.0 | 27.2% | 6.1% | Muse Ember |
| ALE-Bench | Not measured | 956.7 | Only Nemotron 3.5 Super VL 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 | 48.1 | Only Nemotron 3.5 Super VL measured |
| Terminal-Bench 4.0 | Not measured | 0.3% | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 40 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Muse Ember | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 13.6 | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Muse Ember | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| LiveBench research | Not measured | 67.1% | Only Nemotron 3.5 Super VL measured |
| LiveBench browser | Not measured | 21.6% | Only Nemotron 3.5 Super VL measured |
| LiveBench long agentic | Not measured | 12.0% | Only Nemotron 3.5 Super VL measured |
| Tax Agent Bench (Vals AI) | 38.2% | 11.6% | Muse Ember |
| Legal Research Bench (Vals AI) | 49.0% | 10.1% | Muse Ember |
| Harvey's Legal Agent Benchmark (Vals AI) | 25.0% | 3.8% | Muse Ember |
| APEX-Agents | 64.3% | Not measured | Only Muse Ember measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Ember | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 74.6% | Only Nemotron 3.5 Super VL measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 30.7% | Only Nemotron 3.5 Super VL measured |
| HLE-Diamond (Artificial Analysis run) | 25.1% | 8.8% | Muse Ember |
| CritPt v2, hard subset (Artificial Analysis run) | 39.0% | 13.5% | Muse Ember |
| Neither model has a result on the other 22 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Ember | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| Neither model has a result on 14 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Ember | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| AA-Omniscience | 7.7 | -2.9 | Muse Ember |
| Neither model has a result on the other 20 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Muse Ember | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1160 | Only Nemotron 3.5 Super VL measured |
| Design Arena: UI components | Not measured | 1156 | Only Nemotron 3.5 Super VL measured |
| Design Arena: game dev | Not measured | 1078 | Only Nemotron 3.5 Super VL measured |
| Design Arena: data viz | Not measured | 1084 | Only Nemotron 3.5 Super VL measured |
| Design Arena: 3D | Not measured | 1119 | Only Nemotron 3.5 Super VL measured |
| Design Arena: all code categories | Not measured | 1140 | Only Nemotron 3.5 Super VL measured |
| LiveBench design | Not measured | 60.0% | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Ember | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| Vals Index | 60.5% | 29.8% | Muse Ember |
| LiveBench data analysis | Not measured | 64.6% | Only Nemotron 3.5 Super VL measured |
| Long context reasoning (AA-LCR) | Not measured | 69.0% | Only Nemotron 3.5 Super VL measured |
| GDPval-AA | Not measured | 1162 | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 45 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Ember | Nemotron 3.5 Super VL | 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 | NVIDIA Nemotron 3.5 Super VL |
|---|---|---|
| Maker | Meta | NVIDIA |
| Weights | No public weights listed | Open weights |
| Released | November 9, 2026 | October 15, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.10 | $0.15 |
| Output $/Mtok | $0.50 | $0.50 |
| Coding index | 64.9 | 14.8 |
| Independent measurements behind it | 3 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Ember better than Nemotron 3.5 Super VL for coding?
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 14.8 for Nemotron 3.5 Super VL. Nemotron 3.5 Super VL is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Muse Ember or Nemotron 3.5 Super VL?
Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens; Nemotron 3.5 Super VL costs $0.15 and $0.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Ember or Nemotron 3.5 Super VL?
Neither: both take 1.05M tokens.
How many benchmarks is the Muse Ember vs Nemotron 3.5 Super VL comparison based on?
11 benchmarks have a result for both models as of November 14, 2026. Muse Ember's coding index rests on 3 independent benchmarks and Nemotron 3.5 Super VL's on 3. Where only one model has a result, the page says so instead of naming a winner.