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Nemotron 3.5 Super VL vs Qwen3.7 Plus

Nemotron 3.5 Super VL leads Qwen3.7 Plus on the Artificial Analysis Intelligence Index, 26.5 to 25.2, and Nemotron 3.5 Super VL costs 2.6x less per output token ($0.50 vs $1.28 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
2
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
7
vs boards won of 9 shared

Nemotron 3.5 Super VL or Qwen3.7 Plus: which to pick

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Nemotron 3.5 Super VL has none, so the two cannot be ranked on coding.

Pick Nemotron 3.5 Super VL for output tokens 2.6x cheaper ($0.50 vs $1.28 per million) and a larger context window (1.05M against 1M tokens).

Shared results
9
Nemotron 3.5 Super VL only
7
Qwen3.7 Plus only
66
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, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Web design, 14.5 points apart on average over 5 shared benchmarks.
Widest single gap
Design Arena: game dev: Nemotron 3.5 Super VL 1110 against Qwen3.7 Plus 1262, 19.0 points apart on a 0 to 100 scale.
Output price
Nemotron 3.5 Super VL $0.50 against Qwen3.7 Plus $1.28 per million output tokens, 2.6x apart.
Context window
Nemotron 3.5 Super VL takes 1.05M tokens, Qwen3.7 Plus 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 VLBarsQwen3.7 PlusTies
Coding10
Intelligence10
Reasoning01
Web design05
General01
All shared boards27
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Nemotron 3.5 Super VL and Qwen3.7 Plus
BenchmarkNemotron 3.5 Super VLQwen3.7 PlusLeader
LiveBench coding65.5%Not measuredOnly Nemotron 3.5 Super VL measured
AA Coding IndexNot measured55.9Only Qwen3.7 Plus measured
Vibe Code Bench (Vals AI)Not measured46.4%Only Qwen3.7 Plus measured
Code migration (Vals AI)Not measured12.9%Only Qwen3.7 Plus measured
Terminal-Bench 2.1 (Vals AI)Not measured52.8%Only Qwen3.7 Plus measured
SkillsBench (Vals AI)Not measured54.3%Only Qwen3.7 Plus measured
SciCode47.8%46.1%Nemotron 3.5 Super VL
Terminal-Bench Hard (Artificial Analysis run)Not measured47.0%Only Qwen3.7 Plus measured
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
LMArena Text: codingNot measured1473Only Qwen3.7 Plus measured
LMArena Text: software and ITNot measured1473Only Qwen3.7 Plus measured
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Nemotron 3.5 Super VL and Qwen3.7 Plus
BenchmarkNemotron 3.5 Super VLQwen3.7 PlusLeader
AA Intelligence Index26.525.2Nemotron 3.5 Super VL
Epoch Capabilities IndexNot measured147.0Only Qwen3.7 Plus measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Agentic work benchmarks for Nemotron 3.5 Super VL and Qwen3.7 Plus
BenchmarkNemotron 3.5 Super VLQwen3.7 PlusLeader
AA Agentic IndexNot measured17.5Only Qwen3.7 Plus measured
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
Finance Agent (Vals AI)Not measured38.2%Only Qwen3.7 Plus measured
Tax Agent Bench (Vals AI)Not measured10.5%Only Qwen3.7 Plus measured
Legal Research Bench (Vals AI)Not measured16.4%Only Qwen3.7 Plus measured
Excel Modeling Benchmark (Vals AI)Not measured49.3%Only Qwen3.7 Plus measured
τ²-Bench TelecomNot measured93.0%Only Qwen3.7 Plus measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for Nemotron 3.5 Super VL and Qwen3.7 Plus
BenchmarkNemotron 3.5 Super VLQwen3.7 PlusLeader
LiveBench reasoning78.8%Not measuredOnly Nemotron 3.5 Super VL measured
GPQA Diamond (Artificial Analysis run)Not measured90.0%Only Qwen3.7 Plus measured
Humanity's Last Exam (Artificial Analysis run)30.7%35.6%Qwen3.7 Plus
GPQA Diamond (Epoch AI run)Not measured87.9%Only Qwen3.7 Plus measured
Mystery game puzzlesNot measured17.0%Only Qwen3.7 Plus measured
LMArena Text: hard promptsNot measured1460Only Qwen3.7 Plus measured
LMArena Text: expertNot measured1466Only Qwen3.7 Plus measured
LMArena Text: hard prompts in EnglishNot measured1460Only Qwen3.7 Plus measured
LMArena Vision: diagramsNot measured1292Only Qwen3.7 Plus measured
LMArena Vision: homeworkNot measured1295Only Qwen3.7 Plus measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Nemotron 3.5 Super VL and Qwen3.7 Plus
BenchmarkNemotron 3.5 Super VLQwen3.7 PlusLeader
OTIS Mock AIMENot measured93.3%Only Qwen3.7 Plus measured
FrontierMath, tiers 1 to 3Not measured34.4%Only Qwen3.7 Plus measured
LMArena Text: mathNot measured1467Only Qwen3.7 Plus measured
LMArena Text: mathematical workNot measured1470Only Qwen3.7 Plus measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for Nemotron 3.5 Super VL and Qwen3.7 Plus
BenchmarkNemotron 3.5 Super VLQwen3.7 PlusLeader
MortgageTax (Vals AI)Not measured66.2%Only Qwen3.7 Plus measured
LMArena Text: scienceNot measured1464Only Qwen3.7 Plus measured
LMArena Text: medicine and healthcareNot measured1464Only Qwen3.7 Plus measured
LMArena Text: legal and governmentNot measured1451Only Qwen3.7 Plus measured
LMArena Text: business and financeNot measured1435Only Qwen3.7 Plus measured
Neither model has a result on the other 15 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 Qwen3.7 Plus
BenchmarkNemotron 3.5 Super VLQwen3.7 PlusLeader
Design Arena: websites11731269Qwen3.7 Plus
Design Arena: UI components11491258Qwen3.7 Plus
Design Arena: game dev11101262Qwen3.7 Plus
Design Arena: data vizNot measured1277Only Qwen3.7 Plus measured
Design Arena: 3D11271238Qwen3.7 Plus
Design Arena: all code categories11551268Qwen3.7 Plus
Design Arena: SVGNot measured1207Only Qwen3.7 Plus measured
Design Arena: ASCII artNot measured1143Only Qwen3.7 Plus 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 Qwen3.7 Plus
BenchmarkNemotron 3.5 Super VLQwen3.7 PlusLeader
LiveBench data analysis64.6%Not measuredOnly Nemotron 3.5 Super VL measured
SAGE (Vals AI)Not measured39.3%Only Qwen3.7 Plus measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBenchNot measured78.0%Only Qwen3.7 Plus measured
Long context reasoning (AA-LCR)69.0%73.0%Qwen3.7 Plus
DTBenchNot measured84.0%Only Qwen3.7 Plus measured
LMCANot measured37.6%Only Qwen3.7 Plus measured
LMArena TextNot measured1454Only Qwen3.7 Plus measured
LMArena Text: instruction followingNot measured1439Only Qwen3.7 Plus measured
LMArena Text: creative writingNot measured1438Only Qwen3.7 Plus measured
LMArena VisionNot measured1278Only Qwen3.7 Plus measured
LMArena Text: EnglishNot measured1458Only Qwen3.7 Plus measured
LMArena Text: non-EnglishNot measured1445Only Qwen3.7 Plus measured
LMArena Text: ChineseNot measured1509Only Qwen3.7 Plus measured
LMArena Text: GermanNot measured1471Only Qwen3.7 Plus measured
LMArena Text: JapaneseNot measured1412Only Qwen3.7 Plus measured
LMArena Text: KoreanNot measured1413Only Qwen3.7 Plus measured
LMArena Text: FrenchNot measured1472Only Qwen3.7 Plus measured
LMArena Text: SpanishNot measured1457Only Qwen3.7 Plus measured
LMArena Text: RussianNot measured1457Only Qwen3.7 Plus measured
LMArena Text: PolishNot measured1449Only Qwen3.7 Plus measured
LMArena Text: multi-turnNot measured1459Only Qwen3.7 Plus measured
LMArena Text: longer queriesNot measured1454Only Qwen3.7 Plus measured
LMArena Text: writing and languageNot measured1437Only Qwen3.7 Plus measured
LMArena Text: entertainment and mediaNot measured1422Only Qwen3.7 Plus measured
LMArena Vision: EnglishNot measured1280Only Qwen3.7 Plus measured
LMArena Vision: ChineseNot measured1332Only Qwen3.7 Plus measured
LMArena Vision: reading textNot measured1288Only Qwen3.7 Plus measured
LMArena Vision: humorNot measured1261Only Qwen3.7 Plus measured
LMArena Vision: creative writingNot measured1258Only Qwen3.7 Plus measured
LMArena DocumentNot measured1444Only Qwen3.7 Plus measured
Neither model has a result on the other 17 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 Qwen3.7 Plus
BenchmarkNemotron 3.5 Super VLQwen3.7 PlusLeader
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
Qwen3.7 Plus$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
Qwen3.7 Plus$0.020Fits 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
Qwen3.7 Plus$0.077Fits 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 Qwen3.7 Plus
SpecificationNVIDIA Nemotron 3.5 Super VLQwen3.7 Plus
MakerNVIDIAQwen
WeightsOpen weightsNo public weights listed
ReleasedOctober 15, 2026June 3, 2026
Context window1.05M1M
Input $/Mtok$0.15$0.32
Output $/Mtok$0.50$1.28
Coding indexNot benchmarked33.2
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nemotron 3.5 Super VL better than Qwen3.7 Plus for coding?

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Nemotron 3.5 Super VL has none, so the two cannot be ranked on coding. Pick Nemotron 3.5 Super VL for output tokens 2.6x cheaper ($0.50 vs $1.28 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Nemotron 3.5 Super VL or Qwen3.7 Plus?

Nemotron 3.5 Super VL costs $0.15 per million input tokens and $0.50 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for neither of them.

Which has the bigger context window, Nemotron 3.5 Super VL or Qwen3.7 Plus?

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

How many benchmarks is the Nemotron 3.5 Super VL vs Qwen3.7 Plus 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 Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.

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