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BenchLM

Nemotron 3.5 Lightning 30B A3B NVFP4 vs Qwen3.8-27B

Updated September 28, 2026. Rank says Qwen3.8-27B is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

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Decision reading

Qwen3.8-27B has the higher public score, 55.26 versus 18.91, and the 90% score intervals do not overlap. 6 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
NVIDIA logo

NVIDIA

18.91/100

Estimated · Public rank #189

90% interval 9.0–28.8

Model B
Alibaba logo

Alibaba

55.26/100

Estimated · Public rank #54

90% interval 47.7–62.8

Shared results
6
Nemotron 3.5 Lightning 30B A3B NVFP4 only
7
Qwen3.8-27B only
27
Like-for-like categories
1 / 8
Estimated: Nemotron 3.5 Lightning 30B A3B NVFP4 and Qwen3.8-27BHow the comparison works

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Long documents

    Prompts that approach the documented context limit

    Nemotron 3.5 Lightning 30B A3B NVFP4

    Nemotron 3.5 Lightning 30B A3B NVFP4 has the larger documented context window.

    Confidence: documented
Show secondary and unsupported calls
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Nemotron 3.5 Lightning 30B A3B NVFP4 is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.

    Confidence: limited
  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    Nemotron 3.5 Lightning 30B A3B NVFP4 is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.

    Confidence: limited
  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates
  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates
  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

11.3Nemotron 3.5 Lightning 30B A3B NVFP448.7Qwen3.8-27B

Directional only · BenchAlign v5.7

Qwen3.8-27B scores higher, but at least one score rests on Estimated evidence or a different benchmark set. Directional only, no winner.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Same basis rules as the category table below

What is actually comparable

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

3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.7 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Instruction following

Like-for-like
Nemotron 3.5 Lightning 30B A3B NVFP4
68.5
#67/124
Qwen3.8-27B
83.2
#45/124
Basis
Provisional lane · 1 vs 1 weighted rows
Reading
Qwen3.8-27B leads

Agentic

Directional only
Nemotron 3.5 Lightning 30B A3B NVFP4
7.3
Estimated · #110/111
Qwen3.8-27B
61.2
Supported · #16/111
Basis
BenchAlign v5.7 lane · 4 vs 8 public rows
Reading
Directional only

Coding

Directional only
Nemotron 3.5 Lightning 30B A3B NVFP4
11.3
Estimated · #136/136
Qwen3.8-27B
48.7
Supported · #41/136
Basis
BenchAlign v5.7 lane · 4 vs 8 public rows
Reading
Directional only

Knowledge

Directional only
Nemotron 3.5 Lightning 30B A3B NVFP4
20.8
Estimated · #157/160
Qwen3.8-27B
49.2
Supported · #59/160
Basis
BenchAlign v5.7 lane · 4 vs 6 public rows
Reading
Directional only

Reasoning

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
56.0
Unranked · 1 rankable row
Qwen3.8-27B
78.7
#8/27
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
Not ranked
Qwen3.8-27B
80.9
#11/50
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
Not ranked
Qwen3.8-27B
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
Not ranked
Qwen3.8-27B
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.7) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Nemotron 3.5 Lightning 30B A3B NVFP4
Self-hosted; infrastructure cost varies
Fits in one request
Qwen3.8-27B
Self-hosted; infrastructure cost varies
Fits in one request

Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate. Qwen3.8-27B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Nemotron 3.5 Lightning 30B A3B NVFP4
Self-hosted; infrastructure cost varies
Fits in one request
Qwen3.8-27B
Self-hosted; infrastructure cost varies
Fits in one request

Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate. Qwen3.8-27B has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Nemotron 3.5 Lightning 30B A3B NVFP4
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
Qwen3.8-27B
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate. Qwen3.8-27B has no comparable published API token rate.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

API model ID

Nemotron 3.5 Lightning 30B A3B NVFP4

Not sourced

Qwen3.8-27B

Not sourced

Documented inputs

Nemotron 3.5 Lightning 30B A3B NVFP4

Not sourced

Qwen3.8-27B

Not sourced

Documented outputs

Nemotron 3.5 Lightning 30B A3B NVFP4

Not sourced

Qwen3.8-27B

Not sourced

Provider availability

Nemotron 3.5 Lightning 30B A3B NVFP4

Not sourced

Qwen3.8-27B

Not sourced

Reasoning profile

Nemotron 3.5 Lightning 30B A3B NVFP4

Reasoning

Qwen3.8-27B

Reasoning

Weight access

Nemotron 3.5 Lightning 30B A3B NVFP4

Open Weight

Qwen3.8-27B

Open Weight

License

Nemotron 3.5 Lightning 30B A3B NVFP4

Open Weight

Qwen3.8-27B

Open Weight

Release date

Nemotron 3.5 Lightning 30B A3B NVFP4

2026-08-11

Qwen3.8-27B

2026-08-05

If you already use one of these models

Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
Qwen3.8-27B has the higher public score, 55.26 versus 18.91, and the 90% score intervals do not overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Nemotron 3.5 Lightning 30B A3B NVFP4 has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Nemotron 3.5 Lightning 30B A3B NVFP4 or Qwen3.8-27B?

Qwen3.8-27B has the higher public score, 55.26 versus 18.91, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.

Which is better for coding, Nemotron 3.5 Lightning 30B A3B NVFP4 or Qwen3.8-27B?

Qwen3.8-27B scores higher for coding on the public lane, 48.7 to 11.3. Nemotron 3.5 Lightning 30B A3B NVFP4 is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Nemotron 3.5 Lightning 30B A3B NVFP4 or Qwen3.8-27B?

Qwen3.8-27B scores higher for agentic tasks on the public lane, 61.2 to 7.3. Nemotron 3.5 Lightning 30B A3B NVFP4 is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Nemotron 3.5 Lightning 30B A3B NVFP4 or Qwen3.8-27B?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Nemotron 3.5 Lightning 30B A3B NVFP4 or Qwen3.8-27B?

Nemotron 3.5 Lightning 30B A3B NVFP4 has the larger documented context window: 1M, compared with 262K.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence40 rows

Agentic

  • Terminal-Bench 2.1

    Nemotron 3.5 Lightning 30B A3B NVFP423.5%
    Source
    Qwen3.8-27B73.0%
    Source

    Qwen3.8-27B leads this result

  • PinchBench

    Nemotron 3.5 Lightning 30B A3B NVFP483.4%
    Source
    Qwen3.8-27B—

    Not directly comparable

  • BrowseComp

    Nemotron 3.5 Lightning 30B A3B NVFP436.8%
    Source
    Qwen3.8-27B—

    Not directly comparable

  • τ³-bench results

    Nemotron 3.5 Lightning 30B A3B NVFP49.5%
    Source
    Qwen3.8-27B—

    Not directly comparable

  • CoWorkBench

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B70.7%
    Source

    Not directly comparable

  • JobBench

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B33.4%
    Source

    Not directly comparable

  • Agents' Last Exam

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B42.9%
    Source

    Not directly comparable

  • OSWorld-Verified

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B84.3%
    Source

    Not directly comparable

  • WebArena-Verified

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B64.8%
    Source

    Not directly comparable

  • AndroidWorld

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B81.9%
    Source

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B58.4%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Nemotron 3.5 Lightning 30B A3B NVFP452.8%
    Source
    Qwen3.8-27B—

    Not directly comparable

  • SWE Multilingual

    Nemotron 3.5 Lightning 30B A3B NVFP436.5%
    Source
    Qwen3.8-27B—

    Not directly comparable

  • Terminal-Bench 2.1

    Nemotron 3.5 Lightning 30B A3B NVFP423.5%
    Source
    Qwen3.8-27B73.0%
    Source

    Qwen3.8-27B leads this result

  • SciCode

    Nemotron 3.5 Lightning 30B A3B NVFP431.4%
    Source
    Qwen3.8-27B—

    Not directly comparable

  • SWE-bench Pro

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B61.7%
    Source

    Not directly comparable

  • NL2Repo

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B42.3%
    Source

    Not directly comparable

  • DeepSWE

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B42.2%
    Source

    Not directly comparable

  • LiveCodeBench v6

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B90.3%
    Source

    Not directly comparable

  • VulcanBench v3

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B82.6%
    Source

    Not directly comparable

  • LiveCodeBench (Vals)

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B84.0%
    Source

    Not directly comparable

  • SWE-bench (Vals)

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B86.0%
    Source

    Not directly comparable

Multimodal

  • MathVision

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B90.0%
    Source

    Not directly comparable

  • MathVision w/ Python

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B94.6%
    Source

    Not directly comparable

  • BabyVision

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B65.7%
    Source

    Not directly comparable

  • BabyVision w/ Python

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B85.6%
    Source

    Not directly comparable

  • Vision2Web

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B62.9%
    Source

    Not directly comparable

  • CharXiv w/o tools

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B83.7%
    Source

    Not directly comparable

  • CharXiv

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B90.2%
    Source

    Not directly comparable

  • OmniDocBench 1.5

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B91.1%
    Source

    Not directly comparable

  • RealWorldQA

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B85.9%
    Source

    Not directly comparable

  • ERQA

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B65.5%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Nemotron 3.5 Lightning 30B A3B NVFP475.6%
    Source
    Qwen3.8-27B89.2%
    Source

    Qwen3.8-27B leads this result

  • GPQA-D

    Nemotron 3.5 Lightning 30B A3B NVFP475.6%
    Source
    Qwen3.8-27B89.2%
    Source

    Qwen3.8-27B leads this result

  • HLE w/o tools

    Nemotron 3.5 Lightning 30B A3B NVFP410.5%
    Source
    Qwen3.8-27B30.8%
    Source

    Qwen3.8-27B leads this result

  • MMLU-Pro

    Nemotron 3.5 Lightning 30B A3B NVFP481.6%
    Source
    Qwen3.8-27B—

    Not directly comparable

  • HLE

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B30.8%
    Source

    Not directly comparable

  • GPQA Diamond (Vals)

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B88.9%
    Source

    Not directly comparable

  • MMLU-Pro (Vals)

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Qwen3.8-27B84.3%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Nemotron 3.5 Lightning 30B A3B NVFP472.9%
    Source
    Qwen3.8-27B79.5%
    Source

    Qwen3.8-27B leads this result

40 public results · 6 shared

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Last updated September 28, 2026