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Nemotron 3.5 Lightning vs Qwen2.5 7B Instruct

Nemotron 3.5 Lightning costs 1.4x less per output token than Qwen2.5 7B Instruct ($0.147 vs $0.20 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Nemotron 3.5 LightningNVIDIA
Coding
22.6
Overall
No data
Output $/M
$0.147
Qwen2.5 7B InstructQwen
Coding
No data
Overall
No data
Output $/M
$0.20
vs $0.147 vs $0.20 per 1M output tokens. Nemotron 3.5 Lightning is 1.4x cheaper.

Nemotron 3.5 Lightning or Qwen2.5 7B Instruct: which to pick

Only Nemotron 3.5 Lightning has a coding score, 22.6 on the Vibe Coding Index; Qwen2.5 7B Instruct has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

No benchmark has tested both yet. Nemotron 3.5 Lightning has results on AA Coding Index, SWE-bench Verified (Vals AI) and Vibe Code Bench (Vals AI); Qwen2.5 7B Instruct on Epoch Capabilities Index, BALROG and GPQA Diamond (Epoch AI run). Compare them on price and context instead.

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, Qwen2.5 7B Instruct not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Nemotron 3.5 Lightning $0.147 against Qwen2.5 7B Instruct $0.20 per million output tokens, 1.4x apart.
Context window
Nemotron 3.5 Lightning takes 262K tokens, Qwen2.5 7B Instruct 33K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index9 boards measured
Coding benchmarks for Nemotron 3.5 Lightning and Qwen2.5 7B Instruct
BenchmarkNemotron 3.5 LightningQwen2.5 7B InstructLeader
AA Coding Index26.8Not measuredOnly Nemotron 3.5 Lightning measured
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%Not measuredOnly Nemotron 3.5 Lightning measured
ALE-Bench769.2Not measuredOnly Nemotron 3.5 Lightning measured
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Nemotron 3.5 Lightning and Qwen2.5 7B Instruct
BenchmarkNemotron 3.5 LightningQwen2.5 7B InstructLeader
AA Intelligence Index12.9Not measuredOnly Nemotron 3.5 Lightning measured
Epoch Capabilities IndexNot measured118.5Only Qwen2.5 7B Instruct measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Agentic work benchmarks for Nemotron 3.5 Lightning and Qwen2.5 7B Instruct
BenchmarkNemotron 3.5 LightningQwen2.5 7B InstructLeader
AA Agentic Index3.5Not measuredOnly Nemotron 3.5 Lightning measured
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
BALROGNot measured7.8%Only Qwen2.5 7B Instruct measured
Neither model has a result on the other 35 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Reasoning benchmarks for Nemotron 3.5 Lightning and Qwen2.5 7B Instruct
BenchmarkNemotron 3.5 LightningQwen2.5 7B InstructLeader
GPQA Diamond (Artificial Analysis run)74.3%Not measuredOnly Nemotron 3.5 Lightning measured
Humanity's Last Exam (Artificial Analysis run)10.6%Not measuredOnly Nemotron 3.5 Lightning measured
GPQA Diamond (Epoch AI run)Not measured35.5%Only Qwen2.5 7B Instruct measured
Neither model has a result on the other 19 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Math benchmarks for Nemotron 3.5 Lightning and Qwen2.5 7B Instruct
BenchmarkNemotron 3.5 LightningQwen2.5 7B InstructLeader
OTIS Mock AIMENot measured2.5%Only Qwen2.5 7B Instruct measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Knowledge benchmarks for Nemotron 3.5 Lightning and Qwen2.5 7B Instruct
BenchmarkNemotron 3.5 LightningQwen2.5 7B InstructLeader
CorpFin (Vals AI)54.2%Not measuredOnly Nemotron 3.5 Lightning measured
MMLUNot measured72.9%Only Qwen2.5 7B Instruct measured
Neither model has a result on the other 16 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
General benchmarks for Nemotron 3.5 Lightning and Qwen2.5 7B Instruct
BenchmarkNemotron 3.5 LightningQwen2.5 7B InstructLeader
MedScribe (Vals AI)4.3%Not measuredOnly Nemotron 3.5 Lightning measured
Long context reasoning (AA-LCR)60.3%Not measuredOnly Nemotron 3.5 Lightning measured
DTBenchNot measured47.7%Only Qwen2.5 7B Instruct measured
LMCANot measured6.4%Only Qwen2.5 7B Instruct measured
Neither model has a result on the other 42 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
Qwen2.5 7B Instruct$0.0002Fits 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
Qwen2.5 7B Instruct$0.0056Exceeds the context window

Nemotron 3.5 Lightning costs less

Agent loop

200K input + 10K output tokens

Nemotron 3.5 Lightning$0.012Fits in one request
Qwen2.5 7B Instruct$0.022Exceeds the context window

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 Qwen2.5 7B Instruct
SpecificationNVIDIA Nemotron 3.5 LightningQwen2.5 7B Instruct
MakerNVIDIAQwen
WeightsOpen weightsOpen weights
ReleasedAugust 11, 2026October 16, 2024
Context window262K33K
Input $/Mtok$0.0534$0.10
Output $/Mtok$0.147$0.20
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 Qwen2.5 7B Instruct for coding?

Only Nemotron 3.5 Lightning has a coding score, 22.6 on the Vibe Coding Index; Qwen2.5 7B Instruct has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Nemotron 3.5 Lightning or Qwen2.5 7B Instruct?

Nemotron 3.5 Lightning costs $0.0534 per million input tokens and $0.147 per million output tokens; Qwen2.5 7B Instruct costs $0.10 and $0.20. Cost per solved task is known for Nemotron 3.5 Lightning only.

Which has the bigger context window, Nemotron 3.5 Lightning or Qwen2.5 7B Instruct?

Nemotron 3.5 Lightning, with 262K tokens against 33K.

Has any benchmark tested both Nemotron 3.5 Lightning and Qwen2.5 7B Instruct?

No benchmark has tested both yet. Nemotron 3.5 Lightning has results on AA Coding Index, SWE-bench Verified (Vals AI) and Vibe Code Bench (Vals AI); Qwen2.5 7B Instruct on Epoch Capabilities Index, BALROG and GPQA Diamond (Epoch AI run). Compare them on price and context instead. Data as of October 22, 2026.

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