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Nemotron 3.5 Lightning vs Beam 1.0 501B A23B

Nemotron 3.5 Lightning costs 7.5x less per output token than Beam 1.0 501B A23B ($0.147 vs $1.10 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Nemotron 3.5 LightningNVIDIA
Coding
22.6
Overall
No data
Output $/M
$0.147
R Beam 1.0 501B A23BReflection
Coding
No data
Overall
No data
Output $/M
$1.10
vs $0.147 vs $1.10 per 1M output tokens. Nemotron 3.5 Lightning is 7.5x cheaper.

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

Only Nemotron 3.5 Lightning has a coding score, 22.6 on the Vibe Coding Index; Beam 1.0 501B A23B has none, so the two cannot be ranked on coding.

Pick Beam 1.0 501B A23B for a larger context window (1.05M against 262K tokens).

No benchmark has tested both yet. Nemotron 3.5 Lightning has results on AA Coding Index, SWE-bench Verified (Vals AI) and Vibe Code Bench (Vals AI); Beam 1.0 501B A23B on LMArena WebDev, LMArena Text: coding and LMArena Text: software and IT. Compare them on price and context instead.

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 Lightning 22.6 from 2 benchmarks, Beam 1.0 501B A23B not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Nemotron 3.5 Lightning $0.147 against Beam 1.0 501B A23B $1.10 per million output tokens, 7.5x apart.
Context window
Nemotron 3.5 Lightning takes 262K tokens, Beam 1.0 501B A23B 1.05M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index14 boards measured
Coding benchmarks for Nemotron 3.5 Lightning and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 LightningBeam 1.0 501B A23BLeader
LMArena WebDevNot measured1437Only Beam 1.0 501B A23B measured
AA Coding Index26.8Not measuredOnly Nemotron 3.5 Lightning measured
SWE-bench Verified (Vals AI)52.8%Not measuredOnly Nemotron 3.5 Lightning measured
Vibe Code Bench (Vals AI)0.0%Not measuredOnly Nemotron 3.5 Lightning measured
Code migration (Vals AI)3.0%Not measuredOnly Nemotron 3.5 Lightning measured
ProgramBench (Vals AI)0.0%Not measuredOnly Nemotron 3.5 Lightning measured
Terminal-Bench 2.1 (Vals AI)10.9%Not measuredOnly Nemotron 3.5 Lightning measured
CyberBench (Vals AI)29.5%Not measuredOnly Nemotron 3.5 Lightning measured
SciCode32.1%Not measuredOnly Nemotron 3.5 Lightning measured
ALE-Bench769.2Not measuredOnly Nemotron 3.5 Lightning 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 25 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Nemotron 3.5 Lightning and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 LightningBeam 1.0 501B A23BLeader
AA Intelligence Index12.9Not measuredOnly Nemotron 3.5 Lightning measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Agentic work benchmarks for Nemotron 3.5 Lightning and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 LightningBeam 1.0 501B A23BLeader
AA Agentic Index3.5Not measuredOnly Nemotron 3.5 Lightning measured
Finance Agent (Vals AI)18.5%Not measuredOnly Nemotron 3.5 Lightning measured
Tax Agent Bench (Vals AI)2.6%Not measuredOnly Nemotron 3.5 Lightning measured
Legal Research Bench (Vals AI)2.9%Not measuredOnly Nemotron 3.5 Lightning measured
Excel Modeling Benchmark (Vals AI)17.0%Not measuredOnly Nemotron 3.5 Lightning measured
Neither model has a result on the other 36 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Reasoning benchmarks for Nemotron 3.5 Lightning and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 LightningBeam 1.0 501B A23BLeader
GPQA Diamond (Artificial Analysis run)74.3%Not measuredOnly Nemotron 3.5 Lightning measured
Humanity's Last Exam (Artificial Analysis run)10.6%Not measuredOnly Nemotron 3.5 Lightning 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 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for Nemotron 3.5 Lightning and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 LightningBeam 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 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Knowledge benchmarks for Nemotron 3.5 Lightning and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 LightningBeam 1.0 501B A23BLeader
CorpFin (Vals AI)54.2%Not measuredOnly Nemotron 3.5 Lightning measured
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 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Web design benchmarks for Nemotron 3.5 Lightning and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 LightningBeam 1.0 501B A23BLeader
Design Arena: websitesNot measured1250Only Beam 1.0 501B A23B measured
Design Arena: game devNot measured1224Only Beam 1.0 501B A23B measured
Neither model has a result on the other 7 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index14 boards measured
General benchmarks for Nemotron 3.5 Lightning and Beam 1.0 501B A23B
BenchmarkNemotron 3.5 LightningBeam 1.0 501B A23BLeader
MedScribe (Vals AI)4.3%Not measuredOnly Nemotron 3.5 Lightning measured
Long context reasoning (AA-LCR)60.3%Not measuredOnly Nemotron 3.5 Lightning 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 32 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 Lightning$0.0001Fits in one request
Beam 1.0 501B A23B$0.0009Fits in one request

Nemotron 3.5 Lightning costs less

Repository review

50K input + 3K output tokens

Nemotron 3.5 Lightning$0.0031Fits in one request
Beam 1.0 501B A23B$0.021Fits in one request

Nemotron 3.5 Lightning costs less

Agent loop

200K input + 10K output tokens

Nemotron 3.5 Lightning$0.012Fits in one request
Beam 1.0 501B A23B$0.081Fits in one request

Nemotron 3.5 Lightning 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 Lightning and Beam 1.0 501B A23B
SpecificationNVIDIA Nemotron 3.5 LightningReflection Beam 1.0 501B A23B
MakerNVIDIAReflection
WeightsOpen weightsOpen weights
ReleasedAugust 11, 2026October 16, 2026
Context window262K1.05M
Input $/Mtok$0.0534$0.35
Output $/Mtok$0.147$1.10
Coding index22.6Not benchmarked
Independent measurements behind it21
Cost per solved task$0.06Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Only Nemotron 3.5 Lightning has a coding score, 22.6 on the Vibe Coding Index; Beam 1.0 501B A23B has none, so the two cannot be ranked on coding. Pick Beam 1.0 501B A23B for a larger context window (1.05M against 262K tokens).

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

Nemotron 3.5 Lightning costs $0.0534 per million input tokens and $0.147 per million output tokens; Beam 1.0 501B A23B costs $0.35 and $1.10. Cost per solved task is known for Nemotron 3.5 Lightning only.

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

Beam 1.0 501B A23B, with 1.05M tokens against 262K.

Has any benchmark tested both Nemotron 3.5 Lightning and Beam 1.0 501B A23B?

No benchmark has tested both yet. Nemotron 3.5 Lightning has results on AA Coding Index, SWE-bench Verified (Vals AI) and Vibe Code Bench (Vals AI); Beam 1.0 501B A23B on LMArena WebDev, LMArena Text: coding and LMArena Text: software and IT. Compare them on price and context instead. Data as of October 22, 2026.

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