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Nemotron 3.5 Super VL vs Extract

Updated October 22, 2026; no benchmark has tested both models yet.

Nemotron 3.5 Super VLNVIDIA
Coding
No data
Overall
35.6
Output $/M
$0.50
S ExtractScaledown
Coding
No data
Overall
No data
Output $/M
No data
vs 1.05M vs 1M context window. About the same size.

Nemotron 3.5 Super VL or Extract: 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 a larger context window (1.05M against 1M tokens).

No benchmark has tested both yet. Nemotron 3.5 Super VL has results on LiveBench coding, SciCode and AA Intelligence Index; Extract has none yet. 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 Super VL not benchmarked, Extract 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 Super VL $0.50 against Extract Free per million output tokens.
Context window
Nemotron 3.5 Super VL takes 1.05M tokens, Extract 1M.

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 Index2 boards measured
Coding benchmarks for Nemotron 3.5 Super VL and Extract
BenchmarkNemotron 3.5 Super VLExtractLeader
LiveBench coding65.5%Not measuredOnly Nemotron 3.5 Super VL measured
SciCode47.8%Not measuredOnly Nemotron 3.5 Super VL measured
Neither model has a result on the other 37 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Nemotron 3.5 Super VL and Extract
BenchmarkNemotron 3.5 Super VLExtractLeader
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 measured
Agentic work benchmarks for Nemotron 3.5 Super VL and Extract
BenchmarkNemotron 3.5 Super VLExtractLeader
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 38 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for Nemotron 3.5 Super VL and Extract
BenchmarkNemotron 3.5 Super VLExtractLeader
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
Neither model has a result on the other 20 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Web design benchmarks for Nemotron 3.5 Super VL and Extract
BenchmarkNemotron 3.5 Super VLExtractLeader
Design Arena: websites1172Not measuredOnly Nemotron 3.5 Super VL measured
Design Arena: UI components1153Not measuredOnly Nemotron 3.5 Super VL measured
Design Arena: game dev1110Not measuredOnly Nemotron 3.5 Super VL measured
Design Arena: 3D1127Not measuredOnly Nemotron 3.5 Super VL measured
Design Arena: all code categories1155Not 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 index2 boards measured
General benchmarks for Nemotron 3.5 Super VL and Extract
BenchmarkNemotron 3.5 Super VLExtractLeader
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
Neither model has a result on the other 44 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
Extract$0.0000Fits in one request

Extract costs less

Repository review

50K input + 3K output tokens

Nemotron 3.5 Super VL$0.0090Fits in one request
Extract$0.0020Fits in one request

Extract costs less

Agent loop

200K input + 10K output tokens

Nemotron 3.5 Super VL$0.035Fits in one request
Extract$0.0080Fits in one request

Extract 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 Extract
SpecificationNVIDIA Nemotron 3.5 Super VLScaleDown Extract
MakerNVIDIAScaledown
WeightsOpen weightsNo public weights listed
ReleasedOctober 15, 2026October 13, 2026
Context window1.05M1M
Input $/Mtok$0.15$0.04
Output $/Mtok$0.50Free
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nemotron 3.5 Super VL better than Extract for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nemotron 3.5 Super VL for a larger context window (1.05M against 1M tokens).

Which is cheaper, Nemotron 3.5 Super VL or Extract?

Nemotron 3.5 Super VL costs $0.15 per million input tokens and $0.50 per million output tokens; Extract costs $0.04 and Free. Cost per solved task is known for neither of them.

Which has the bigger context window, Nemotron 3.5 Super VL or Extract?

Nemotron 3.5 Super VL, with 1.05M tokens against 1M.

Has any benchmark tested both Nemotron 3.5 Super VL and Extract?

No benchmark has tested both yet. Nemotron 3.5 Super VL has results on LiveBench coding, SciCode and AA Intelligence Index; Extract has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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