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Nemotron 3.5 Lightning vs Qwen3.7 Plus

Qwen3.7 Plus leads Nemotron 3.5 Lightning on coding, 33.2 to 22.6 on the Vibe Coding Index, and Nemotron 3.5 Lightning costs 8.7x less per output token ($0.147 vs $1.28 per million). Updated October 22, 2026; 14 benchmarks have a result for both.

Nemotron 3.5 LightningNVIDIA
Coding
22.6
Overall
No data
Output $/M
$0.147
0
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
14
vs boards won of 14 shared

Nemotron 3.5 Lightning or Qwen3.7 Plus: which to pick

Pick Qwen3.7 Plus for coding: it scores 33.2 on the Vibe Coding Index against 22.6 for Nemotron 3.5 Lightning.

Pick Nemotron 3.5 Lightning for output tokens 8.7x cheaper ($0.147 vs $1.28 per million).

Shared results
14
Nemotron 3.5 Lightning only
6
Qwen3.7 Plus only
61
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 Lightning 22.6 from 2 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Coding, 28.3 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Nemotron 3.5 Lightning 0.0% against Qwen3.7 Plus 46.4%, 46.4 points apart on a 0 to 100 scale.
Output price
Nemotron 3.5 Lightning $0.147 against Qwen3.7 Plus $1.28 per million output tokens, 8.7x apart.
Context window
Nemotron 3.5 Lightning takes 262K 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 LightningBarsQwen3.7 PlusTies
Coding05
Intelligence01
Agentic work05
Reasoning02
General01
All shared boards014
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Nemotron 3.5 Lightning and Qwen3.7 Plus
BenchmarkNemotron 3.5 LightningQwen3.7 PlusLeader
AA Coding Index26.855.9Qwen3.7 Plus
SWE-bench Verified (Vals AI)52.8%Not measuredOnly Nemotron 3.5 Lightning measured
Vibe Code Bench (Vals AI)0.0%46.4%Qwen3.7 Plus
Code migration (Vals AI)3.0%12.9%Qwen3.7 Plus
ProgramBench (Vals AI)0.0%Not measuredOnly Nemotron 3.5 Lightning measured
Terminal-Bench 2.1 (Vals AI)10.9%52.8%Qwen3.7 Plus
SkillsBench (Vals AI)Not measured54.3%Only Qwen3.7 Plus measured
CyberBench (Vals AI)29.5%Not measuredOnly Nemotron 3.5 Lightning measured
SciCode32.1%46.1%Qwen3.7 Plus
Terminal-Bench Hard (Artificial Analysis run)Not measured47.0%Only Qwen3.7 Plus measured
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
ALE-Bench769.2Not measuredOnly Nemotron 3.5 Lightning 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 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nemotron 3.5 Lightning and Qwen3.7 Plus
BenchmarkNemotron 3.5 LightningQwen3.7 PlusLeader
AA Intelligence Index12.925.2Qwen3.7 Plus
Epoch Capabilities IndexNot measured147.0Only Qwen3.7 Plus measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
Agentic work benchmarks for Nemotron 3.5 Lightning and Qwen3.7 Plus
BenchmarkNemotron 3.5 LightningQwen3.7 PlusLeader
AA Agentic Index3.517.5Qwen3.7 Plus
Finance Agent (Vals AI)18.5%38.2%Qwen3.7 Plus
Tax Agent Bench (Vals AI)2.6%10.5%Qwen3.7 Plus
Legal Research Bench (Vals AI)2.9%16.4%Qwen3.7 Plus
Excel Modeling Benchmark (Vals AI)17.0%49.3%Qwen3.7 Plus
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 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Nemotron 3.5 Lightning and Qwen3.7 Plus
BenchmarkNemotron 3.5 LightningQwen3.7 PlusLeader
GPQA Diamond (Artificial Analysis run)74.3%90.0%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)10.6%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 Lightning and Qwen3.7 Plus
BenchmarkNemotron 3.5 LightningQwen3.7 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 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Knowledge benchmarks for Nemotron 3.5 Lightning and Qwen3.7 Plus
BenchmarkNemotron 3.5 LightningQwen3.7 PlusLeader
CorpFin (Vals AI)54.2%Not measuredOnly Nemotron 3.5 Lightning measured
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 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Nemotron 3.5 Lightning and Qwen3.7 Plus
BenchmarkNemotron 3.5 LightningQwen3.7 PlusLeader
Design Arena: websitesNot measured1269Only Qwen3.7 Plus measured
Design Arena: UI componentsNot measured1258Only Qwen3.7 Plus measured
Design Arena: game devNot measured1261Only Qwen3.7 Plus measured
Design Arena: data vizNot measured1276Only Qwen3.7 Plus measured
Design Arena: 3DNot measured1238Only Qwen3.7 Plus measured
Design Arena: all code categoriesNot measured1269Only Qwen3.7 Plus measured
Design Arena: SVGNot measured1208Only Qwen3.7 Plus measured
Design Arena: ASCII artNot measured1143Only Qwen3.7 Plus measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Nemotron 3.5 Lightning and Qwen3.7 Plus
BenchmarkNemotron 3.5 LightningQwen3.7 PlusLeader
SAGE (Vals AI)Not measured39.3%Only Qwen3.7 Plus measured
MedScribe (Vals AI)4.3%Not measuredOnly Nemotron 3.5 Lightning measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBenchNot measured78.0%Only Qwen3.7 Plus measured
Long context reasoning (AA-LCR)60.3%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 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nemotron 3.5 Lightning and Qwen3.7 Plus
BenchmarkNemotron 3.5 LightningQwen3.7 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 Lightning$0.0001Fits in one request
Qwen3.7 Plus$0.0010Fits 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
Qwen3.7 Plus$0.020Fits 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
Qwen3.7 Plus$0.077Fits 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 Qwen3.7 Plus
SpecificationNVIDIA Nemotron 3.5 LightningQwen3.7 Plus
MakerNVIDIAQwen
WeightsOpen weightsNo public weights listed
ReleasedAugust 11, 2026June 3, 2026
Context window262K1M
Input $/Mtok$0.0534$0.32
Output $/Mtok$0.147$1.28
Coding index22.633.2
Independent measurements behind it22
Cost per solved task$0.06Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Qwen3.7 Plus for coding: it scores 33.2 on the Vibe Coding Index against 22.6 for Nemotron 3.5 Lightning. Pick Nemotron 3.5 Lightning for output tokens 8.7x cheaper ($0.147 vs $1.28 per million).

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

Nemotron 3.5 Lightning costs $0.0534 per million input tokens and $0.147 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for Nemotron 3.5 Lightning only.

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

Qwen3.7 Plus, with 1M tokens against 262K.

How many benchmarks is the Nemotron 3.5 Lightning vs Qwen3.7 Plus comparison based on?

14 benchmarks have a result for both models as of October 22, 2026. Nemotron 3.5 Lightning's coding index rests on 2 independent benchmarks 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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<iframe src="https://llmbenchmark.ai/embed/compare/nvidia-nemotron-3-5-lightning-vs-qwen3-7-plus" title="Nemotron 3.5 Lightning vs Qwen3.7 Plus, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/nvidia-nemotron-3-5-lightning-vs-qwen3-7-plus">LLMBenchmark.ai, Nemotron 3.5 Lightning vs Qwen3.7 Plus</a></p>