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Nemotron 3.5 Lightning vs Qwen3 Coder Next

Updated October 21, 2026. 7 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Nemotron 3.5 LightningNVIDIA
Coding
22.6
Overall
12.9
Output $/M
$0.147
5
Qwen3 Coder NextQwen
Coding
No data
Overall
9.2
Output $/M
$0.80
2
vs boards won of 7 shared

Decision reading

Only Nemotron 3.5 Lightning has a coding score, 22.6 on the Vibe Coding Index; Qwen3 Coder Next has none, so the two cannot be ranked on coding.

Qwen3 Coder Next has the edge where what matters is AA Coding Index or SciCode, where it leads.

Shared results
7
Nemotron 3.5 Lightning only
13
Qwen3 Coder Next only
4
Like-for-like categories
5 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 Coder Next not benchmarked.
Widest category
General, 13.3 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Nemotron 3.5 Lightning 60.3% against Qwen3 Coder Next 47.0%, 13.3 points apart on a 0 to 100 scale.
Output price
Nemotron 3.5 Lightning $0.147 against Qwen3 Coder Next $0.80 per million output tokens, 5.4x apart.
Context window
Both take 262K tokens.

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 Coder NextTies
Coding02
Intelligence10
Agentic work10
Reasoning20
General10
All shared boards52
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Nemotron 3.5 Lightning and Qwen3 Coder Next
BenchmarkNemotron 3.5 LightningQwen3 Coder NextLeader
AA Coding Index26.836.2Qwen3 Coder Next
SWE-bench Verified (Vals AI)52.8%Not measuredOnly Nemotron 3.5 Lightning measured
Vibe Code Bench (Vals AI)0.0%Not measuredOnly Nemotron 3.5 Lightning measured
Code migration (Vals AI)3.0%Not measuredOnly Nemotron 3.5 Lightning measured
ProgramBench (Vals AI)0.0%Not measuredOnly Nemotron 3.5 Lightning measured
Terminal-Bench 2.1 (Vals AI)10.9%Not measuredOnly Nemotron 3.5 Lightning measured
CyberBench (Vals AI)29.5%Not measuredOnly Nemotron 3.5 Lightning measured
SciCode32.1%36.2%Qwen3 Coder Next
Terminal-Bench Hard (Artificial Analysis run)Not measured18.2%Only Qwen3 Coder Next measured
WeirdMLNot measured34.4%Only Qwen3 Coder Next measured
ALE-Bench769.2Not measuredOnly Nemotron 3.5 Lightning measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Nemotron 3.5 Lightning and Qwen3 Coder Next
BenchmarkNemotron 3.5 LightningQwen3 Coder NextLeader
AA Intelligence Index12.99.2Nemotron 3.5 Lightning
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Nemotron 3.5 Lightning and Qwen3 Coder Next
BenchmarkNemotron 3.5 LightningQwen3 Coder NextLeader
AA Agentic Index3.50.9Nemotron 3.5 Lightning
Finance Agent (Vals AI)18.5%Not measuredOnly Nemotron 3.5 Lightning measured
Tax Agent Bench (Vals AI)2.6%Not measuredOnly Nemotron 3.5 Lightning measured
Legal Research Bench (Vals AI)2.9%Not measuredOnly Nemotron 3.5 Lightning measured
Excel Modeling Benchmark (Vals AI)17.0%Not measuredOnly Nemotron 3.5 Lightning measured
τ²-Bench TelecomNot measured79.5%Only Qwen3 Coder Next measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Nemotron 3.5 Lightning and Qwen3 Coder Next
BenchmarkNemotron 3.5 LightningQwen3 Coder NextLeader
GPQA Diamond (Artificial Analysis run)74.3%73.7%Nemotron 3.5 Lightning
Humanity's Last Exam (Artificial Analysis run)10.6%10.1%Nemotron 3.5 Lightning
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 Lightning and Qwen3 Coder Next
BenchmarkNemotron 3.5 LightningQwen3 Coder NextLeader
Neither model has a result on 13 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for Nemotron 3.5 Lightning and Qwen3 Coder Next
BenchmarkNemotron 3.5 LightningQwen3 Coder NextLeader
CorpFin (Vals AI)54.2%Not measuredOnly Nemotron 3.5 Lightning measured
Neither model has a result on the other 16 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Nemotron 3.5 Lightning and Qwen3 Coder Next
BenchmarkNemotron 3.5 LightningQwen3 Coder NextLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Nemotron 3.5 Lightning and Qwen3 Coder Next
BenchmarkNemotron 3.5 LightningQwen3 Coder NextLeader
MedScribe (Vals AI)4.3%Not measuredOnly Nemotron 3.5 Lightning measured
IFBenchNot measured35.2%Only Qwen3 Coder Next measured
Long context reasoning (AA-LCR)60.3%47.0%Nemotron 3.5 Lightning
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 Lightning and Qwen3 Coder Next
BenchmarkNemotron 3.5 LightningQwen3 Coder NextLeader
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 Coder Next$0.0005Fits 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 Coder Next$0.0084Fits 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 Coder Next$0.032Fits 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 Coder Next
SpecificationNVIDIA Nemotron 3.5 LightningQwen3 Coder Next
MakerNVIDIAQwen
WeightsOpen weightsOpen weights
ReleasedAugust 11, 2026February 4, 2026
Context window262K262K
Input $/Mtok$0.0534$0.12
Output $/Mtok$0.147$0.80
Coding index22.6Not benchmarked
Independent measurements behind it20
Cost per solved task$0.06Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nemotron 3.5 Lightning better than Qwen3 Coder Next for coding?

Only Nemotron 3.5 Lightning has a coding score, 22.6 on the Vibe Coding Index; Qwen3 Coder Next has none, so the two cannot be ranked on coding. Qwen3 Coder Next has the edge where what matters is AA Coding Index or SciCode, where it leads.

Which is cheaper, Nemotron 3.5 Lightning or Qwen3 Coder Next?

Nemotron 3.5 Lightning costs $0.0534 per million input tokens and $0.147 per million output tokens; Qwen3 Coder Next costs $0.12 and $0.80. Cost per solved task is known for Nemotron 3.5 Lightning only.

Which has the bigger context window, Nemotron 3.5 Lightning or Qwen3 Coder Next?

Neither: both take 262K tokens.

How many benchmarks is the Nemotron 3.5 Lightning vs Qwen3 Coder Next comparison based on?

7 benchmarks have a result for both models as of October 21, 2026. Nemotron 3.5 Lightning's coding index rests on 2 independent benchmarks and Qwen3 Coder Next's on 0. Where only one model has a result, the page says so instead of naming a winner.

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