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Nemotron 3.5 Super VL vs Beam 1.0 501B A23B

Nemotron 3.5 Super VL costs 2.4x less per output token than Beam 1.0 501B A23B ($0.50 vs $1.20 per million). Updated October 22, 2026; 2 benchmarks have a result for both.

Nemotron 3.5 Super VLNVIDIA
Coding
No data
Overall
35.6
Output $/M
$0.50
0
R Beam 1.0 501B A23BReflection
Coding
No data
Overall
No data
Output $/M
$1.20
2
vs boards won of 2 shared

Nemotron 3.5 Super VL or Beam 1.0 501B A23B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Nemotron 3.5 Super VL for output tokens 2.4x cheaper ($0.50 vs $1.20 per million) and work measured by Design Arena: websites or Design Arena: game dev, where it leads.

Shared results
2
Nemotron 3.5 Super VL only
14
Beam 1.0 501B A23B only
26
Like-for-like categories
1 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.

At a glance

Coding index
Nemotron 3.5 Super VL not benchmarked, Beam 1.0 501B A23B not benchmarked.
Widest category
Web design, 11.4 points apart on average over 2 shared benchmarks.
Widest single gap
Design Arena: game dev: Nemotron 3.5 Super VL 1110 against Beam 1.0 501B A23B 1220, 13.8 points apart on a 0 to 100 scale.
Output price
Nemotron 3.5 Super VL $0.50 against Beam 1.0 501B A23B $1.20 per million output tokens, 2.4x 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
CategoryNemotron 3.5 Super VLBarsBeam 1.0 501B A23BTies
Web design02
All shared boards02
CodingDirectional onlySix of these boards feed the Vibe Coding Index7 boards, none shared
Coding benchmarks for Nemotron 3.5 Super VL and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 Super VLBeam 1.0 501B A23BLeader
LiveBench coding65.5%Not measuredOnly Nemotron 3.5 Super VL measured
LMArena WebDevNot measured1437Only Beam 1.0 501B A23B measured
SciCode47.8%Not measuredOnly Nemotron 3.5 Super VL measured
LMArena Text: codingNot measured1473Only Beam 1.0 501B A23B measured
LMArena Text: software and ITNot measured1461Only Beam 1.0 501B A23B measured
LMArena WebDev: ReactNot measured1443Only Beam 1.0 501B A23B measured
LMArena WebDev: HTMLNot measured1436Only Beam 1.0 501B A23B measured
Neither model has a result on the other 36 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Nemotron 3.5 Super VL and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 Super VLBeam 1.0 501B A23BLeader
AA Intelligence Index26.5Not measuredOnly Nemotron 3.5 Super VL measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for Nemotron 3.5 Super VL and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 Super VLBeam 1.0 501B A23BLeader
LiveBench research70.9%Not measuredOnly Nemotron 3.5 Super VL measured
LiveBench browser4.0%Not measuredOnly Nemotron 3.5 Super VL measured
LiveBench long agentic15.8%Not measuredOnly Nemotron 3.5 Super VL measured
Neither model has a result on the other 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Reasoning benchmarks for Nemotron 3.5 Super VL and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 Super VLBeam 1.0 501B A23BLeader
LiveBench reasoning78.8%Not measuredOnly Nemotron 3.5 Super VL measured
Humanity's Last Exam (Artificial Analysis run)30.7%Not measuredOnly Nemotron 3.5 Super VL measured
LMArena Text: hard promptsNot measured1442Only Beam 1.0 501B A23B measured
LMArena Text: expertNot measured1447Only Beam 1.0 501B A23B measured
LMArena Text: hard prompts in EnglishNot measured1451Only Beam 1.0 501B A23B measured
Neither model has a result on the other 18 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Nemotron 3.5 Super VL and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 Super VLBeam 1.0 501B A23BLeader
LMArena Text: mathNot measured1459Only Beam 1.0 501B A23B measured
LMArena Text: mathematical workNot measured1475Only Beam 1.0 501B A23B measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Knowledge benchmarks for Nemotron 3.5 Super VL and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 Super VLBeam 1.0 501B A23BLeader
LMArena Text: scienceNot measured1430Only Beam 1.0 501B A23B measured
LMArena Text: medicine and healthcareNot measured1376Only Beam 1.0 501B A23B measured
LMArena Text: legal and governmentNot measured1433Only Beam 1.0 501B A23B measured
LMArena Text: business and financeNot measured1430Only Beam 1.0 501B A23B measured
Neither model has a result on the other 16 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for Nemotron 3.5 Super VL and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 Super VLBeam 1.0 501B A23BLeader
Design Arena: websites11731245Beam 1.0 501B A23B
Design Arena: UI components1149Not measuredOnly Nemotron 3.5 Super VL measured
Design Arena: game dev11101220Beam 1.0 501B A23B
Design Arena: 3D1128Not measuredOnly Nemotron 3.5 Super VL measured
Design Arena: all code categories1154Not measuredOnly Nemotron 3.5 Super VL measured
LiveBench design60.7%Not measuredOnly Nemotron 3.5 Super VL measured
Neither model has a result on the other 3 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
General benchmarks for Nemotron 3.5 Super VL and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 Super VLBeam 1.0 501B A23BLeader
LiveBench data analysis64.6%Not measuredOnly Nemotron 3.5 Super VL measured
Long context reasoning (AA-LCR)69.0%Not measuredOnly Nemotron 3.5 Super VL measured
LMArena TextNot measured1425Only Beam 1.0 501B A23B measured
LMArena Text: instruction followingNot measured1430Only Beam 1.0 501B A23B measured
LMArena Text: creative writingNot measured1390Only Beam 1.0 501B A23B measured
LMArena Text: EnglishNot measured1436Only Beam 1.0 501B A23B measured
LMArena Text: non-EnglishNot measured1413Only Beam 1.0 501B A23B measured
LMArena Text: ChineseNot measured1424Only Beam 1.0 501B A23B measured
LMArena Text: FrenchNot measured1461Only Beam 1.0 501B A23B measured
LMArena Text: RussianNot measured1412Only Beam 1.0 501B A23B measured
LMArena Text: multi-turnNot measured1414Only Beam 1.0 501B A23B measured
LMArena Text: longer queriesNot measured1429Only Beam 1.0 501B A23B measured
LMArena Text: writing and languageNot measured1400Only Beam 1.0 501B A23B measured
LMArena Text: entertainment and mediaNot measured1399Only Beam 1.0 501B A23B measured
Neither model has a result on the other 34 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nemotron 3.5 Super VL and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 Super VLBeam 1.0 501B A23BLeader
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$0.0004Fits in one request
Beam 1.0 501B A23B$0.0010Fits in one request

Nemotron 3.5 Super VL costs less

Repository review

50K input + 3K output tokens

Nemotron 3.5 Super VL$0.0090Fits in one request
Beam 1.0 501B A23B$0.024Fits in one request

Nemotron 3.5 Super VL costs less

Agent loop

200K input + 10K output tokens

Nemotron 3.5 Super VL$0.035Fits in one request
Beam 1.0 501B A23B$0.092Fits 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 Nemotron 3.5 Super VL and Beam 1.0 501B A23B
SpecificationNVIDIA Nemotron 3.5 Super VLReflection Beam 1.0 501B A23B
MakerNVIDIAReflection
WeightsOpen weightsOpen weights
ReleasedOctober 15, 2026October 16, 2026
Context window1.05M1.05M
Input $/Mtok$0.15$0.40
Output $/Mtok$0.50$1.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nemotron 3.5 Super VL better than Beam 1.0 501B A23B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nemotron 3.5 Super VL for output tokens 2.4x cheaper ($0.50 vs $1.20 per million) and work measured by Design Arena: websites or Design Arena: game dev, where it leads.

Which is cheaper, Nemotron 3.5 Super VL or Beam 1.0 501B A23B?

Nemotron 3.5 Super VL costs $0.15 per million input tokens and $0.50 per million output tokens; Beam 1.0 501B A23B costs $0.40 and $1.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Nemotron 3.5 Super VL or Beam 1.0 501B A23B?

Neither: both take 1.05M tokens.

How many benchmarks is the Nemotron 3.5 Super VL vs Beam 1.0 501B A23B comparison based on?

2 benchmarks have a result for both models as of October 22, 2026. Nemotron 3.5 Super VL's coding index rests on 1 independent benchmark and Beam 1.0 501B A23B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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