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Nemotron 3.5 Super VL vs Step 3.7 Flash

Nemotron 3.5 Super VL leads Step 3.7 Flash on the Artificial Analysis Intelligence Index, 26.5 to 19.5, and Nemotron 3.5 Super VL costs 2.3x less per output token ($0.50 vs $1.15 per million). Updated October 22, 2026; 9 benchmarks have a result for both.

Nemotron 3.5 Super VLNVIDIA
Coding
No data
Overall
35.6
Output $/M
$0.50
3
Step 3.7 FlashStepFun
Coding
No data
Overall
No data
Output $/M
$1.15
6
vs boards won of 9 shared

Nemotron 3.5 Super VL or Step 3.7 Flash: 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 2.3x cheaper ($0.50 vs $1.15 per million) and a larger context window (1.05M against 262K tokens).

Shared results
9
Nemotron 3.5 Super VL only
7
Step 3.7 Flash only
9
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.

At a glance

Coding index
Nemotron 3.5 Super VL not benchmarked, Step 3.7 Flash not benchmarked.
Widest category
Reasoning, 9.3 points apart on average over 1 shared benchmark.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Nemotron 3.5 Super VL 30.7% against Step 3.7 Flash 21.4%, 9.3 points apart on a 0 to 100 scale.
Output price
Nemotron 3.5 Super VL $0.50 against Step 3.7 Flash $1.15 per million output tokens, 2.3x apart.
Context window
Nemotron 3.5 Super VL takes 1.05M tokens, Step 3.7 Flash 262K.

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 VLBarsStep 3.7 FlashTies
Coding10
Intelligence10
Reasoning10
Web design05
General01
All shared boards36
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Nemotron 3.5 Super VL and Step 3.7 Flash
BenchmarkNemotron 3.5 Super VLStep 3.7 FlashLeader
LiveBench coding65.5%Not measuredOnly Nemotron 3.5 Super VL measured
AA Coding IndexNot measured39.6Only Step 3.7 Flash measured
SciCode47.8%43.9%Nemotron 3.5 Super VL
Terminal-Bench Hard (Artificial Analysis run)Not measured35.6%Only Step 3.7 Flash measured
ALE-BenchNot measured694.1Only Step 3.7 Flash measured
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Nemotron 3.5 Super VL and Step 3.7 Flash
BenchmarkNemotron 3.5 Super VLStep 3.7 FlashLeader
AA Intelligence Index26.519.5Nemotron 3.5 Super VL
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Nemotron 3.5 Super VL and Step 3.7 Flash
BenchmarkNemotron 3.5 Super VLStep 3.7 FlashLeader
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
τ²-Bench TelecomNot measured98.5%Only Step 3.7 Flash measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
Reasoning benchmarks for Nemotron 3.5 Super VL and Step 3.7 Flash
BenchmarkNemotron 3.5 Super VLStep 3.7 FlashLeader
LiveBench reasoning78.8%Not measuredOnly Nemotron 3.5 Super VL measured
GPQA Diamond (Artificial Analysis run)Not measured80.9%Only Step 3.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)30.7%21.4%Nemotron 3.5 Super VL
Neither model has a result on the other 19 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Nemotron 3.5 Super VL and Step 3.7 Flash
BenchmarkNemotron 3.5 Super VLStep 3.7 FlashLeader
Neither model has a result on 13 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for Nemotron 3.5 Super VL and Step 3.7 Flash
BenchmarkNemotron 3.5 Super VLStep 3.7 FlashLeader
Neither model has a result on 18 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for Nemotron 3.5 Super VL and Step 3.7 Flash
BenchmarkNemotron 3.5 Super VLStep 3.7 FlashLeader
Design Arena: websites11721196Step 3.7 Flash
Design Arena: UI components11531177Step 3.7 Flash
Design Arena: game dev11101158Step 3.7 Flash
Design Arena: data vizNot measured1173Only Step 3.7 Flash measured
Design Arena: 3D11271129Step 3.7 Flash
Design Arena: all code categories11551182Step 3.7 Flash
Design Arena: SVGNot measured1084Only Step 3.7 Flash measured
Design Arena: ASCII artNot measured1152Only Step 3.7 Flash measured
LiveBench design60.7%Not measuredOnly Nemotron 3.5 Super VL measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Nemotron 3.5 Super VL and Step 3.7 Flash
BenchmarkNemotron 3.5 Super VLStep 3.7 FlashLeader
LiveBench data analysis64.6%Not measuredOnly Nemotron 3.5 Super VL measured
IFBenchNot measured67.3%Only Step 3.7 Flash measured
Long context reasoning (AA-LCR)69.0%73.7%Step 3.7 Flash
Neither model has a result on the other 43 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 Step 3.7 Flash
BenchmarkNemotron 3.5 Super VLStep 3.7 FlashLeader
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
Step 3.7 Flash$0.0008Fits 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
Step 3.7 Flash$0.013Fits 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
Step 3.7 Flash$0.051Fits 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 Step 3.7 Flash
SpecificationNVIDIA Nemotron 3.5 Super VLStepFun Step 3.7 Flash
MakerNVIDIAStepFun
WeightsOpen weightsOpen weights
ReleasedOctober 15, 2026May 28, 2026
Context window1.05M262K
Input $/Mtok$0.15$0.20
Output $/Mtok$0.50$1.15
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 Step 3.7 Flash 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 2.3x cheaper ($0.50 vs $1.15 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, Nemotron 3.5 Super VL or Step 3.7 Flash?

Nemotron 3.5 Super VL costs $0.15 per million input tokens and $0.50 per million output tokens; Step 3.7 Flash costs $0.20 and $1.15. Cost per solved task is known for neither of them.

Which has the bigger context window, Nemotron 3.5 Super VL or Step 3.7 Flash?

Nemotron 3.5 Super VL, with 1.05M tokens against 262K.

How many benchmarks is the Nemotron 3.5 Super VL vs Step 3.7 Flash comparison based on?

9 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 Step 3.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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