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Muse Spark 1.2 vs Nemotron 3.5 Super VL

Updated October 21, 2026. 16 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Muse Spark 1.2Meta
Coding
65.1
Overall
39.6
Output $/M
$4.25
15
Nemotron 3.5 Super VLNVIDIA
Coding
65.5
Overall
26.5
Output $/M
$0.50
1
vs boards won of 16 shared

Decision reading

Muse Spark 1.2 and Nemotron 3.5 Super VL are level for coding, 65.1 against 65.5 on the Vibe Coding Index, so price and context decide.

Pick Muse Spark 1.2 when what matters is LiveBench coding or SciCode, where it leads. Pick Nemotron 3.5 Super VL when output tokens cost 8.5x less, or when the benchmark that matters is LiveBench research, where it leads.

Shared results
16
Muse Spark 1.2 only
81
Nemotron 3.5 Super VL only
0
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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.

At a glance

Coding index
Muse Spark 1.2 65.1 from 2 benchmarks, Nemotron 3.5 Super VL 65.5 from 1 benchmark.
Widest category
Web design, 18.0 points apart on average over 6 shared benchmarks.
Widest single gap
LiveBench browser: Muse Spark 1.2 36.0% against Nemotron 3.5 Super VL 4.0%, 32.0 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.2 $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.

Boards won, where both have a result
CategoryMuse Spark 1.2BarsNemotron 3.5 Super VLTies
Coding20
Intelligence10
Agentic work21
Reasoning20
Web design60
General20
All shared boards151
CodingLike-for-likeFour of these boards feed the Vibe Coding Index20
Coding benchmarks for Muse Spark 1.2 and Nemotron 3.5 Super VL
BenchmarkMuse Spark 1.2Nemotron 3.5 Super VLLeader
LiveBench coding78.2%65.5%Muse Spark 1.2
LMArena WebDev1534Not measuredOnly Muse Spark 1.2 measured
AA Coding Index72.2Not measuredOnly Muse Spark 1.2 measured
SWE-bench Verified (Vals AI)86.6%Not measuredOnly Muse Spark 1.2 measured
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)79.1%Not measuredOnly Muse Spark 1.2 measured
Code migration (Vals AI)29.9%Not measuredOnly Muse Spark 1.2 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Muse Spark 1.2 measured
IOI (Vals AI)21.8%Not measuredOnly Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)69.7%Not measuredOnly Muse Spark 1.2 measured
SkillsBench (Vals AI)53.0%Not measuredOnly Muse Spark 1.2 measured
CyberBench (Vals AI)69.5%Not measuredOnly Muse Spark 1.2 measured
SciCode57.4%47.8%Muse Spark 1.2
FrontierSWE12.0%Not measuredOnly Muse Spark 1.2 measured
WeirdML60.3%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: coding1505Not measuredOnly Muse Spark 1.2 measured
LMArena Text: software and IT1505Not measuredOnly Muse Spark 1.2 measured
LMArena WebDev: React1526Not measuredOnly Muse Spark 1.2 measured
LMArena WebDev: HTML1543Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Muse Spark 1.2 and Nemotron 3.5 Super VL
BenchmarkMuse Spark 1.2Nemotron 3.5 Super VLLeader
AA Intelligence Index39.626.5Muse Spark 1.2
Epoch Capabilities Index155.1Not measuredOnly Muse Spark 1.2 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index21
Agentic work benchmarks for Muse Spark 1.2 and Nemotron 3.5 Super VL
BenchmarkMuse Spark 1.2Nemotron 3.5 Super VLLeader
AA Agentic Index43.2Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building web apps1222Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building full-stack apps1210Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building mobile apps1182Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building Android apps1228Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building games1179Not measuredOnly Muse Spark 1.2 measured
Design Arena: HTML slides1135Not measuredOnly Muse Spark 1.2 measured
Design Arena: PowerPoint slides1198Not measuredOnly Muse Spark 1.2 measured
LiveBench research67.7%70.9%Nemotron 3.5 Super VL
LiveBench browser36.0%4.0%Muse Spark 1.2
LiveBench long agentic21.3%15.8%Muse Spark 1.2
SREBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.2 measured
Finance Agent (Vals AI)60.6%Not measuredOnly Muse Spark 1.2 measured
Tax Agent Bench (Vals AI)32.8%Not measuredOnly Muse Spark 1.2 measured
Legal Research Bench (Vals AI)43.8%Not measuredOnly Muse Spark 1.2 measured
Excel Modeling Benchmark (Vals AI)57.0%Not measuredOnly Muse Spark 1.2 measured
BioMysteryBench (Vals AI)64.8%Not measuredOnly Muse Spark 1.2 measured
APEX-Agents45.4%Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Muse Spark 1.2 and Nemotron 3.5 Super VL
BenchmarkMuse Spark 1.2Nemotron 3.5 Super VLLeader
LiveBench reasoning90.0%78.8%Muse Spark 1.2
MMMU Pro (Vals AI)86.1%Not measuredOnly Muse Spark 1.2 measured
GPQA Diamond (Artificial Analysis run)90.4%Not measuredOnly Muse Spark 1.2 measured
Humanity's Last Exam (Artificial Analysis run)45.5%30.7%Muse Spark 1.2
SimpleBench74.5%Not measuredOnly Muse Spark 1.2 measured
Chess puzzles27.0%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: hard prompts1489Not measuredOnly Muse Spark 1.2 measured
LMArena Text: expert1475Not measuredOnly Muse Spark 1.2 measured
LMArena Text: hard prompts in English1487Not measuredOnly Muse Spark 1.2 measured
LMArena Vision: diagrams1317Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Muse Spark 1.2 and Nemotron 3.5 Super VL
BenchmarkMuse Spark 1.2Nemotron 3.5 Super VLLeader
ProofBench43.0%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: math1484Not measuredOnly Muse Spark 1.2 measured
LMArena Text: mathematical work1480Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Knowledge benchmarks for Muse Spark 1.2 and Nemotron 3.5 Super VL
BenchmarkMuse Spark 1.2Nemotron 3.5 Super VLLeader
MMLU Pro88.3%Not measuredOnly Muse Spark 1.2 measured
LegalBench (Vals AI)85.3%Not measuredOnly Muse Spark 1.2 measured
CorpFin (Vals AI)70.9%Not measuredOnly Muse Spark 1.2 measured
TaxEval (Vals AI)80.4%Not measuredOnly Muse Spark 1.2 measured
MortgageTax (Vals AI)65.4%Not measuredOnly Muse Spark 1.2 measured
MedCode (Vals AI)49.4%Not measuredOnly Muse Spark 1.2 measured
SimpleQA Verified60.3%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: science1500Not measuredOnly Muse Spark 1.2 measured
LMArena Text: medicine and healthcare1496Not measuredOnly Muse Spark 1.2 measured
LMArena Text: legal and government1517Not measuredOnly Muse Spark 1.2 measured
LMArena Text: business and finance1484Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Muse Spark 1.2 and Nemotron 3.5 Super VL
BenchmarkMuse Spark 1.2Nemotron 3.5 Super VLLeader
Design Arena: websites13131171Muse Spark 1.2
Design Arena: UI components13001148Muse Spark 1.2
Design Arena: game dev13021108Muse Spark 1.2
Design Arena: data viz1334Not measuredOnly Muse Spark 1.2 measured
Design Arena: 3D13011132Muse Spark 1.2
Design Arena: all code categories13131155Muse Spark 1.2
Design Arena: SVG1285Not measuredOnly Muse Spark 1.2 measured
Design Arena: ASCII art1284Not measuredOnly Muse Spark 1.2 measured
LiveBench design67.1%60.7%Muse Spark 1.2
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Muse Spark 1.2 and Nemotron 3.5 Super VL
BenchmarkMuse Spark 1.2Nemotron 3.5 Super VLLeader
LiveBench data analysis76.5%64.6%Muse Spark 1.2
Public Benefits Bench (Vals AI)68.5%Not measuredOnly Muse Spark 1.2 measured
SAGE (Vals AI)47.7%Not measuredOnly Muse Spark 1.2 measured
MedScribe (Vals AI)90.1%Not measuredOnly Muse Spark 1.2 measured
Vals Multimodal Index69.8%Not measuredOnly Muse Spark 1.2 measured
Long context reasoning (AA-LCR)79.0%69.0%Muse Spark 1.2
DTBench94.7%Not measuredOnly Muse Spark 1.2 measured
LMCA48.4%Not measuredOnly Muse Spark 1.2 measured
LMArena Text1482Not measuredOnly Muse Spark 1.2 measured
LMArena Text: instruction following1462Not measuredOnly Muse Spark 1.2 measured
LMArena Text: creative writing1436Not measuredOnly Muse Spark 1.2 measured
LMArena Vision1304Not measuredOnly Muse Spark 1.2 measured
LMArena Text: English1483Not measuredOnly Muse Spark 1.2 measured
LMArena Text: non-English1476Not measuredOnly Muse Spark 1.2 measured
LMArena Text: Chinese1509Not measuredOnly Muse Spark 1.2 measured
LMArena Text: Korean1462Not measuredOnly Muse Spark 1.2 measured
LMArena Text: French1495Not measuredOnly Muse Spark 1.2 measured
LMArena Text: Spanish1484Not measuredOnly Muse Spark 1.2 measured
LMArena Text: Russian1483Not measuredOnly Muse Spark 1.2 measured
LMArena Text: multi-turn1502Not measuredOnly Muse Spark 1.2 measured
LMArena Text: longer queries1473Not measuredOnly Muse Spark 1.2 measured
LMArena Text: writing and language1453Not measuredOnly Muse Spark 1.2 measured
LMArena Text: entertainment and media1443Not measuredOnly Muse Spark 1.2 measured
LMArena Vision: English1291Not measuredOnly Muse Spark 1.2 measured
LMArena Vision: reading text1313Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.2 and Nemotron 3.5 Super VL
BenchmarkMuse Spark 1.2Nemotron 3.5 Super VLLeader
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$0.0034Fits in one request
Nemotron 3.5 Super VL$0.0004Fits in one request

Nemotron 3.5 Super VL costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.2$0.075Fits in one request
Nemotron 3.5 Super VL$0.0090Fits in one request

Nemotron 3.5 Super VL costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.2$0.292Fits in one request
Nemotron 3.5 Super VL$0.035Fits in one request

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.

Specifications of Muse Spark 1.2 and Nemotron 3.5 Super VL
SpecificationMeta Muse Spark 1.2NVIDIA Nemotron 3.5 Super VL
MakerMetaNVIDIA
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2026October 15, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$0.15
Output $/Mtok$4.25$0.50
Coding index65.165.5
Independent measurements behind it21
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.2 better than Nemotron 3.5 Super VL for coding?

Muse Spark 1.2 and Nemotron 3.5 Super VL are level for coding, 65.1 against 65.5 on the Vibe Coding Index, so price and context decide. Pick Muse Spark 1.2 when what matters is LiveBench coding or SciCode, where it leads. Pick Nemotron 3.5 Super VL when output tokens cost 8.5x less, or when the benchmark that matters is LiveBench research, where it leads.

Which is cheaper, Muse Spark 1.2 or Nemotron 3.5 Super VL?

Muse Spark 1.2 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 Muse Spark 1.2 only.

Which has the bigger context window, Muse Spark 1.2 or Nemotron 3.5 Super VL?

Neither: both take 1.05M tokens.

How many benchmarks is the Muse Spark 1.2 vs Nemotron 3.5 Super VL comparison based on?

16 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.2's coding index rests on 2 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.

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