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Nemotron 3.5 Super VL vs Qwen3.5 Plus 2026-02-15

Nemotron 3.5 Super VL costs 3.1x less per output token than Qwen3.5 Plus 2026-02-15 ($0.50 vs $1.56 per million). Updated October 23, 2026; 5 benchmarks have a result for both.

Nemotron 3.5 Super VLNVIDIA
Coding
No data
Overall
35.6
Output $/M
$0.50
2
Qwen3.5 Plus 2026-02-15Qwen
Coding
No data
Overall
No data
Output $/M
$1.56
3
vs boards won of 5 shared

Nemotron 3.5 Super VL or Qwen3.5 Plus 2026-02-15: 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 3.1x cheaper ($0.50 vs $1.56 per million) and a larger context window (1.05M against 1M tokens).

Shared results
5
Nemotron 3.5 Super VL only
11
Qwen3.5 Plus 2026-02-15 only
3
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, Qwen3.5 Plus 2026-02-15 not benchmarked.
Widest category
Web design, 1.6 points apart on average over 5 shared benchmarks.
Widest single gap
Design Arena: UI components: Nemotron 3.5 Super VL 1148 against Qwen3.5 Plus 2026-02-15 1175, 3.4 points apart on a 0 to 100 scale.
Output price
Nemotron 3.5 Super VL $0.50 against Qwen3.5 Plus 2026-02-15 $1.56 per million output tokens, 3.1x apart.
Context window
Nemotron 3.5 Super VL takes 1.05M tokens, Qwen3.5 Plus 2026-02-15 1M.

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 VLBarsQwen3.5 Plus 2026-02-15Ties
Web design23
All shared boards23
CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards, none shared
Coding benchmarks for Nemotron 3.5 Super VL and Qwen3.5 Plus 2026-02-15
BenchmarkNemotron 3.5 Super VLQwen3.5 Plus 2026-02-15Leader
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 41 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 Qwen3.5 Plus 2026-02-15
BenchmarkNemotron 3.5 Super VLQwen3.5 Plus 2026-02-15Leader
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 Qwen3.5 Plus 2026-02-15
BenchmarkNemotron 3.5 Super VLQwen3.5 Plus 2026-02-15Leader
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 index2 boards, none shared
Reasoning benchmarks for Nemotron 3.5 Super VL and Qwen3.5 Plus 2026-02-15
BenchmarkNemotron 3.5 Super VLQwen3.5 Plus 2026-02-15Leader
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 21 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 Qwen3.5 Plus 2026-02-15
BenchmarkNemotron 3.5 Super VLQwen3.5 Plus 2026-02-15Leader
Neither model has a result on 14 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 Qwen3.5 Plus 2026-02-15
BenchmarkNemotron 3.5 Super VLQwen3.5 Plus 2026-02-15Leader
Neither model has a result on 20 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index23
Web design benchmarks for Nemotron 3.5 Super VL and Qwen3.5 Plus 2026-02-15
BenchmarkNemotron 3.5 Super VLQwen3.5 Plus 2026-02-15Leader
Design Arena: websites11721187Qwen3.5 Plus 2026-02-15
Design Arena: UI components11481175Qwen3.5 Plus 2026-02-15
Design Arena: game dev11101105Nemotron 3.5 Super VL
Design Arena: data vizNot measured1135Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: 3D11271120Nemotron 3.5 Super VL
Design Arena: all code categories11541166Qwen3.5 Plus 2026-02-15
Design Arena: SVGNot measured1107Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: ASCII artNot measured1094Only Qwen3.5 Plus 2026-02-15 measured
LiveBench design60.7%Not measuredOnly Nemotron 3.5 Super VL measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
General benchmarks for Nemotron 3.5 Super VL and Qwen3.5 Plus 2026-02-15
BenchmarkNemotron 3.5 Super VLQwen3.5 Plus 2026-02-15Leader
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 46 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 Qwen3.5 Plus 2026-02-15
BenchmarkNemotron 3.5 Super VLQwen3.5 Plus 2026-02-15Leader
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
Qwen3.5 Plus 2026-02-15$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
Qwen3.5 Plus 2026-02-15$0.018Fits 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
Qwen3.5 Plus 2026-02-15$0.068Fits 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 Qwen3.5 Plus 2026-02-15
SpecificationNVIDIA Nemotron 3.5 Super VLQwen3.5 Plus 2026-02-15
MakerNVIDIAQwen
WeightsOpen weightsNo public weights listed
ReleasedOctober 15, 2026February 16, 2026
Context window1.05M1M
Input $/Mtok$0.15$0.26
Output $/Mtok$0.50$1.56
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 Qwen3.5 Plus 2026-02-15 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 3.1x cheaper ($0.50 vs $1.56 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Nemotron 3.5 Super VL or Qwen3.5 Plus 2026-02-15?

Nemotron 3.5 Super VL costs $0.15 per million input tokens and $0.50 per million output tokens; Qwen3.5 Plus 2026-02-15 costs $0.26 and $1.56. Cost per solved task is known for neither of them.

Which has the bigger context window, Nemotron 3.5 Super VL or Qwen3.5 Plus 2026-02-15?

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

How many benchmarks is the Nemotron 3.5 Super VL vs Qwen3.5 Plus 2026-02-15 comparison based on?

5 benchmarks have a result for both models as of October 23, 2026. Nemotron 3.5 Super VL's coding index rests on 1 independent benchmark and Qwen3.5 Plus 2026-02-15's on 0. Where only one model has a result, the page says so instead of naming a winner.

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