Muse Spark Open vs Nemotron 3.5 Super VL
Nemotron 3.5 Super VL costs 8.5x less per output token than Muse Spark Open ($0.50 vs $4.25 per million). Updated October 22, 2026; 12 benchmarks have a result for both.
Muse Spark Open or Nemotron 3.5 Super VL: which to pick
Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; Nemotron 3.5 Super VL has none, so the two cannot be ranked on coding.
Pick Nemotron 3.5 Super VL for output tokens 8.5x cheaper ($0.50 vs $4.25 per million) and work measured by LiveBench reasoning or LiveBench design, where it leads.
- Shared results
- 12
- Muse Spark Open only
- 21
- Nemotron 3.5 Super VL only
- 4
- 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
No call
Only Muse Spark Open has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Nemotron 3.5 Super VL has a AA Intelligence Index result, 26.5.
Directional only
Web design
Design Arena: websites
Muse Spark Open
Muse Spark Open leads, 1317 against 1173.
Same board, both measured
General
Vals Index
No call
Only Muse Spark Open has a Vals Index result, 48.6%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3.5 Super VL
Muse Spark Open $0.0034, Nemotron 3.5 Super VL $0.0004 per turn.
List prices
At a glance
- Coding index
- Muse Spark Open 47.4 from 4 benchmarks, Nemotron 3.5 Super VL not benchmarked.
- Widest category
- Agentic work, 14.8 points apart on average over 3 shared benchmarks.
- Widest single gap
- LiveBench browser: Muse Spark Open 36.0% against Nemotron 3.5 Super VL 4.0%, 32.0 points apart on a 0 to 100 scale.
- Output price
- Muse Spark Open $4.25 against Nemotron 3.5 Super VL $0.50 per million output tokens, 8.5x apart.
- 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 Spark Open | Bars | Nemotron 3.5 Super VL | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Agentic work | 3 | 0 | ||
| Reasoning | 1 | 1 | ||
| Web design | 2 | 1 | ||
| General | 1 | 1 | ||
| All shared boards | 9 | 3 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Muse Spark Open | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| LiveBench coding | 73.6% | 65.5% | Muse Spark Open |
| LMArena WebDev | 1528 | Not measured | Only Muse Spark Open measured |
| Terminal-Bench 4 (Vals AI) | 6.6% | Not measured | Only Muse Spark Open measured |
| Vibe Code Bench (Vals AI) | 76.2% | Not measured | Only Muse Spark Open measured |
| Code migration (Vals AI) | 21.2% | Not measured | Only Muse Spark Open measured |
| SciCode | 58.4% | 47.8% | Muse Spark Open |
| ALE-Bench | 1590.1 | Not measured | Only Muse Spark Open measured |
| LMArena WebDev: React | 1529 | Not measured | Only Muse Spark Open measured |
| LMArena WebDev: HTML | 1495 | Not measured | Only Muse Spark Open measured |
| SWE-Bench Pro V2 | 95.0% | Not measured | Only Muse Spark Open measured |
| Neither model has a result on the other 33 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Muse Spark Open | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 26.5 | Only Nemotron 3.5 Super VL measured |
| Epoch Capabilities Index | 155.1 | Not measured | Only Muse Spark Open measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Muse Spark Open | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| LiveBench research | 80.3% | 70.9% | Muse Spark Open |
| LiveBench browser | 36.0% | 4.0% | Muse Spark Open |
| LiveBench long agentic | 18.9% | 15.8% | Muse Spark Open |
| Finance Agent (Vals AI) | 61.3% | Not measured | Only Muse Spark Open measured |
| Tax Agent Bench (Vals AI) | 26.3% | Not measured | Only Muse Spark Open measured |
| Legal Research Bench (Vals AI) | 38.5% | Not measured | Only Muse Spark Open measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 25.0% | Not measured | Only Muse Spark Open measured |
| Excel Modeling Benchmark (Vals AI) | 53.7% | Not measured | Only Muse Spark Open measured |
| APEX-Agents | 33.4% | Not measured | Only Muse Spark Open measured |
| Neither model has a result on the other 33 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Muse Spark Open | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| LiveBench reasoning | 73.7% | 78.8% | Nemotron 3.5 Super VL |
| GPQA Diamond (Artificial Analysis run) | 89.0% | Not measured | Only Muse Spark Open measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.9% | 30.7% | Muse Spark Open |
| Humanity's Last Exam (Scale run) | 28.0% | Not measured | Only Muse Spark Open measured |
| Neither model has a result on the other 19 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Muse Spark Open | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| MathArena | 33.6% | Not measured | Only Muse Spark Open measured |
| Neither model has a result on the other 13 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Muse Spark Open | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| PRBench Legal | 59.8% | Not measured | Only Muse Spark Open measured |
| Neither model has a result on the other 19 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Muse Spark Open | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| Design Arena: websites | 1317 | 1173 | Muse Spark Open |
| Design Arena: UI components | Not measured | 1149 | Only Nemotron 3.5 Super VL measured |
| Design Arena: game dev | 1284 | 1110 | Muse Spark Open |
| Design Arena: 3D | Not measured | 1127 | Only Nemotron 3.5 Super VL measured |
| Design Arena: all code categories | Not measured | 1155 | Only Nemotron 3.5 Super VL measured |
| LiveBench design | 60.3% | 60.7% | Nemotron 3.5 Super VL |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Muse Spark Open | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| Vals Index | 48.6% | Not measured | Only Muse Spark Open measured |
| LiveBench data analysis | 60.2% | 64.6% | Nemotron 3.5 Super VL |
| Long context reasoning (AA-LCR) | 78.3% | 69.0% | Muse Spark Open |
| MultiChallenge | 74.2% | Not measured | Only Muse Spark Open measured |
| Neither model has a result on the other 44 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Spark Open | 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
Nemotron 3.5 Super VL costs less
Repository review
50K input + 3K output tokens
Nemotron 3.5 Super VL costs less
Agent loop
200K input + 10K output tokens
Nemotron 3.5 Super VL 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 Open | NVIDIA Nemotron 3.5 Super VL |
|---|---|---|
| Maker | Meta | NVIDIA |
| Weights | Open weights | Open weights |
| Released | October 15, 2026 | October 15, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.25 | $0.15 |
| Output $/Mtok | $4.25 | $0.50 |
| Coding index | 47.4 | Not benchmarked |
| Independent measurements behind it | 4 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark Open better than Nemotron 3.5 Super VL for coding?
Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; Nemotron 3.5 Super VL has none, so the two cannot be ranked on coding. Pick Nemotron 3.5 Super VL for output tokens 8.5x cheaper ($0.50 vs $4.25 per million) and work measured by LiveBench reasoning or LiveBench design, where it leads.
Which is cheaper, Muse Spark Open or Nemotron 3.5 Super VL?
Muse Spark Open costs $1.25 per million input tokens and $4.25 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 Spark Open or Nemotron 3.5 Super VL?
Neither: both take 1.05M tokens.
How many benchmarks is the Muse Spark Open vs Nemotron 3.5 Super VL comparison based on?
12 benchmarks have a result for both models as of October 22, 2026. Muse Spark Open's coding index rests on 4 independent benchmarks and Nemotron 3.5 Super VL's on 1. Where only one model has a result, the page says so instead of naming a winner.