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NVIDIA logo
Model A
Nemotron 3.5 Lightning 30B A3B NVFP4

NVIDIA

26.2/100

Estimated · Public rank #216

90% interval 16.4–36.1

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

Updated August 26, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Alibaba logo
Model B
Qwen3.8-Flash-Next

Alibaba

67.5/100

Estimated · Public rank #25

90% interval 57.7–77.4

Decision reading

Qwen3.8-Flash-Next has the higher public score, 67.54 versus 26.23, and the 90% score intervals do not overlap.

5 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

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

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    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

What is actually comparable

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

Shared results
5
Nemotron 3.5 Lightning 30B A3B NVFP4 only
8
Qwen3.8-Flash-Next only
19
Like-for-like categories
1 / 8

1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Instruction following

Like-for-like
Nemotron 3.5 Lightning 30B A3B NVFP4
72.9
Qwen3.8-Flash-Next
81.3
Weighted basis
1 vs 1 rows
Reading
Qwen3.8-Flash-Next leads

Knowledge

Directional only
Nemotron 3.5 Lightning 30B A3B NVFP4
80.5
Qwen3.8-Flash-Next
43.4
Weighted basis
2 vs 2 rows
Reading
Directional only

Agentic

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
29.1
Qwen3.8-Flash-Next
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Coding

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
42.1
Qwen3.8-Flash-Next
62.5
Weighted basis
2 vs 1 rows
Reading
Not comparable

Reasoning

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
Not measured
Qwen3.8-Flash-Next
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Math

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
Not measured
Qwen3.8-Flash-Next
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
Not measured
Qwen3.8-Flash-Next
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
Not measured
Qwen3.8-Flash-Next
90.6
Weighted basis
0 vs 1 rows
Reading
Not comparable

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.

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-Flash-Next
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-Flash-Next 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-Flash-Next
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-Flash-Next 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-Flash-Next
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-Flash-Next has no comparable published API token rate.

Specification differences

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

Documented inputs

Nemotron 3.5 Lightning 30B A3B NVFP4

Not sourced

Qwen3.8-Flash-Next

Not sourced

Documented outputs

Nemotron 3.5 Lightning 30B A3B NVFP4

Not sourced

Qwen3.8-Flash-Next

Not sourced

Provider availability

Nemotron 3.5 Lightning 30B A3B NVFP4

Not sourced

Qwen3.8-Flash-Next

Not sourced

Reasoning profile

Nemotron 3.5 Lightning 30B A3B NVFP4

Reasoning

Qwen3.8-Flash-Next

Reasoning

Weight access

Nemotron 3.5 Lightning 30B A3B NVFP4

Open Weight

Qwen3.8-Flash-Next

Open Weight

License

Nemotron 3.5 Lightning 30B A3B NVFP4

Open Weight

Qwen3.8-Flash-Next

Open Weight

Release date

Nemotron 3.5 Lightning 30B A3B NVFP4

2026-08-11

Qwen3.8-Flash-Next

2026-08-26

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-Flash-Next has the higher public score, 67.54 versus 26.23, 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.

Benchmark evidence

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

Browse raw public benchmark evidence32 rows

Agentic

  • Terminal-Bench 2.0

    Nemotron 3.5 Lightning 30B A3B NVFP423.5%
    Source
    Qwen3.8-Flash-Next

    Not directly comparable

  • PinchBench

    Nemotron 3.5 Lightning 30B A3B NVFP483.4%
    Source
    Qwen3.8-Flash-Next

    Not directly comparable

  • BrowseComp

    Nemotron 3.5 Lightning 30B A3B NVFP436.8%
    Source
    Qwen3.8-Flash-Next

    Not directly comparable

  • τ³-bench results

    Nemotron 3.5 Lightning 30B A3B NVFP49.5%
    Source
    Qwen3.8-Flash-Next

    Not directly comparable

  • CoWorkBench

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next73.9%
    Source

    Not directly comparable

  • JobBench

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next55.7%
    Source

    Not directly comparable

  • Agents' Last Exam

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next51.2%
    Source

    Not directly comparable

  • Toolathlon-Verified

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next73.5%
    Source

    Not directly comparable

  • AndroidWorld

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next84.5%
    Source

    Not directly comparable

  • OSWorld 2.0

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next19.4%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Nemotron 3.5 Lightning 30B A3B NVFP452.8%
    Source
    Qwen3.8-Flash-Next

    Not directly comparable

  • SWE Multilingual

    Nemotron 3.5 Lightning 30B A3B NVFP436.5%
    Source
    Qwen3.8-Flash-Next81%
    Source

    Qwen3.8-Flash-Next leads this result

  • Terminal-Bench 2.0

    Nemotron 3.5 Lightning 30B A3B NVFP423.5%
    Source
    Qwen3.8-Flash-Next

    Not directly comparable

  • SciCode

    Nemotron 3.5 Lightning 30B A3B NVFP431.4%
    Source
    Qwen3.8-Flash-Next

    Not directly comparable

  • SWE-bench Pro

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next62.5%
    Source

    Not directly comparable

  • NL2Repo

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next48.1%
    Source

    Not directly comparable

  • deepSwe

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next58.7%
    Source

    Not directly comparable

  • LiveCodeBench v6

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next91.9%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Nemotron 3.5 Lightning 30B A3B NVFP475.6%
    Source
    Qwen3.8-Flash-Next91.7%
    Source

    Qwen3.8-Flash-Next leads this result

  • GPQA-D

    Nemotron 3.5 Lightning 30B A3B NVFP475.6%
    Source
    Qwen3.8-Flash-Next91.7%
    Source

    Qwen3.8-Flash-Next leads this result

  • HLE w/o tools

    Nemotron 3.5 Lightning 30B A3B NVFP410.5%
    Source
    Qwen3.8-Flash-Next35.9%
    Source

    Qwen3.8-Flash-Next leads this result

  • MMLU-Pro

    Nemotron 3.5 Lightning 30B A3B NVFP481.6%
    Source
    Qwen3.8-Flash-Next

    Not directly comparable

  • HLE

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next35.9%
    Source

    Not directly comparable

Multimodal

  • Vision2Web

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next64.0%
    Source

    Not directly comparable

  • ERQA

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next72.3%
    Source

    Not directly comparable

  • LVBench

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next76.6%
    Source

    Not directly comparable

  • RealWorldQA

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next88.5%
    Source

    Not directly comparable

  • MathVision

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next90.6%
    Source

    Not directly comparable

  • MathVision w/ Python

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next95.7%
    Source

    Not directly comparable

  • CharXiv w/o tools

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next84.6%
    Source

    Not directly comparable

  • CharXiv

    Nemotron 3.5 Lightning 30B A3B NVFP4
    Qwen3.8-Flash-Next90.6%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Nemotron 3.5 Lightning 30B A3B NVFP472.9%
    Source
    Qwen3.8-Flash-Next81.3%
    Source

    Qwen3.8-Flash-Next leads this result

Frequently asked questions

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

Qwen3.8-Flash-Next has the higher public score, 67.54 versus 26.23, 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-Flash-Next?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

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

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

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

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-Flash-Next?

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

Related comparisons

Last updated August 26, 2026

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