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BenchLM
NVIDIA logo
Model A
Nemotron 3 Ultra

NVIDIA

46.32/100

Estimated · Public rank #162

90% interval 36.5–56.2

Nemotron 3 Ultra vs Qwen3.5-35B-A3B

Updated August 30, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Alibaba logo
Model B
Qwen3.5-35B-A3B

Alibaba

56.38/100

Supported · Public rank #96

90% interval 44.7–68.0

Decision reading

Qwen3.5-35B-A3B has the higher public score estimate, 56.38 versus 46.32, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

7 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 Ultra

    Nemotron 3 Ultra 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

    The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    The category averages use different weighted benchmark sets, so they are 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

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
7
Nemotron 3 Ultra only
12
Qwen3.5-35B-A3B only
9
Like-for-like categories
2 / 8

3 categories use 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.

Reasoning

Like-for-like
Nemotron 3 Ultra
61.9
Qwen3.5-35B-A3B
59.0
Weighted basis
1 vs 1 rows
Reading
Nemotron 3 Ultra leads

Multilingual

Like-for-like
Nemotron 3 Ultra
83.0
Qwen3.5-35B-A3B
81.0
Weighted basis
1 vs 1 rows
Reading
Nemotron 3 Ultra leads

Agentic

Directional only
Nemotron 3 Ultra
51.3
Qwen3.5-35B-A3B
51.0
Weighted basis
2 vs 3 rows
Reading
Directional only

Coding

Directional only
Nemotron 3 Ultra
58.3
Qwen3.5-35B-A3B
60.6
Weighted basis
2 vs 2 rows
Reading
Directional only

Knowledge

Directional only
Nemotron 3 Ultra
53.8
Qwen3.5-35B-A3B
81.6
Weighted basis
3 vs 3 rows
Reading
Directional only

Math

Not comparable
Nemotron 3 Ultra
Not measured
Qwen3.5-35B-A3B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Nemotron 3 Ultra
Not measured
Qwen3.5-35B-A3B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Nemotron 3 Ultra
81.7
Qwen3.5-35B-A3B
91.9
Weighted basis
1 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 Ultra
Self-hosted; infrastructure cost varies
Fits in one request
Qwen3.5-35B-A3B
Self-hosted; infrastructure cost varies
Fits in one request

Nemotron 3 Ultra has no comparable published API token rate. Qwen3.5-35B-A3B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Nemotron 3 Ultra
Self-hosted; infrastructure cost varies
Fits in one request
Qwen3.5-35B-A3B
Self-hosted; infrastructure cost varies
Fits in one request

Nemotron 3 Ultra has no comparable published API token rate. Qwen3.5-35B-A3B has no comparable published API token rate.

Cache-heavy agent loop

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

Nemotron 3 Ultra
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
Qwen3.5-35B-A3B
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

Nemotron 3 Ultra has no comparable published API token rate. Qwen3.5-35B-A3B 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.

Context window

Maximum documented context; output-token limits may be lower.

Nemotron 3 Ultra

1M

Qwen3.5-35B-A3B

262K

API model ID

Nemotron 3 Ultra

Not sourced

Qwen3.5-35B-A3B

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Nemotron 3 Ultra

No comparable hosted API rate

Qwen3.5-35B-A3B

No comparable hosted API rate

Documented inputs

Nemotron 3 Ultra

Not sourced

Qwen3.5-35B-A3B

Not sourced

Documented outputs

Nemotron 3 Ultra

Not sourced

Qwen3.5-35B-A3B

Not sourced

Provider availability

Nemotron 3 Ultra

Not sourced

Qwen3.5-35B-A3B

Not sourced

Reasoning profile

Nemotron 3 Ultra

Reasoning

Qwen3.5-35B-A3B

Reasoning

Weight access

Nemotron 3 Ultra

Open Weight

Qwen3.5-35B-A3B

Open Weight

License

Nemotron 3 Ultra

Open Weight

Qwen3.5-35B-A3B

Open Weight

Release date

Nemotron 3 Ultra

2026-06-04

Qwen3.5-35B-A3B

2026-03-04

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
Qwen3.5-35B-A3B has the higher public score estimate, 56.38 versus 46.32, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Nemotron 3 Ultra 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 evidence28 rows

Agentic

  • Terminal-Bench 2.0

    Nemotron 3 Ultra56.4%
    Source
    Qwen3.5-35B-A3B40.5%
    Source

    Nemotron 3 Ultra leads this result

  • PinchBench

    Nemotron 3 Ultra90.0%
    Source
    Qwen3.5-35B-A3B—

    Not directly comparable

  • BrowseComp

    Nemotron 3 Ultra44.4%
    Source
    Qwen3.5-35B-A3B61%
    Source

    Qwen3.5-35B-A3B leads this result

  • τ³-bench results

    Nemotron 3 Ultra70.9%
    Source
    Qwen3.5-35B-A3B—

    Not directly comparable

  • HLE w/ tools

    Nemotron 3 Ultra37.4%
    Source
    Qwen3.5-35B-A3B—

    Not directly comparable

  • OSWorld-Verified

    Nemotron 3 Ultra—
    Qwen3.5-35B-A3B54.5%
    Source

    Not directly comparable

  • Gert Labs

    Nemotron 3 Ultra—
    Qwen3.5-35B-A3B28.96%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Nemotron 3 Ultra71.9%
    Source
    Qwen3.5-35B-A3B69.2%
    Source

    Nemotron 3 Ultra leads this result

  • SWE Multilingual

    Nemotron 3 Ultra67.7%
    Source
    Qwen3.5-35B-A3B—

    Not directly comparable

  • LiveCodeBench v6

    Nemotron 3 Ultra89.0%
    Source
    Qwen3.5-35B-A3B—

    Not directly comparable

  • SciCode

    Nemotron 3 Ultra44.6%
    Source
    Qwen3.5-35B-A3B—

    Not directly comparable

  • Terminal-Bench 2.0

    Nemotron 3 Ultra56.4%
    Source
    Qwen3.5-35B-A3B—

    Not directly comparable

  • SWE-Rebench

    Nemotron 3 Ultra—
    Qwen3.5-35B-A3B53.7%
    Source

    Not directly comparable

Reasoning

  • CritPt

    Nemotron 3 Ultra3.1%
    Source
    Qwen3.5-35B-A3B—

    Not directly comparable

  • LongBench v2

    Nemotron 3 Ultra61.9%
    Source
    Qwen3.5-35B-A3B59%
    Source

    Nemotron 3 Ultra leads this result

Knowledge

  • GPQA

    Nemotron 3 Ultra87%
    Source
    Qwen3.5-35B-A3B84.2%
    Source

    Nemotron 3 Ultra leads this result

  • GPQA-D

    Nemotron 3 Ultra87.0%
    Source
    Qwen3.5-35B-A3B—

    Not directly comparable

  • HLE

    Nemotron 3 Ultra26.7%
    Source
    Qwen3.5-35B-A3B—

    Not directly comparable

  • HLE w/o tools

    Nemotron 3 Ultra26.7%
    Source
    Qwen3.5-35B-A3B—

    Not directly comparable

  • MMLU-Pro

    Nemotron 3 Ultra86.8%
    Source
    Qwen3.5-35B-A3B85.3%
    Source

    Nemotron 3 Ultra leads this result

  • SuperGPQA

    Nemotron 3 Ultra—
    Qwen3.5-35B-A3B63.4%
    Source

    Not directly comparable

Multilingual

  • MMLU-ProX

    Nemotron 3 Ultra83%
    Source
    Qwen3.5-35B-A3B81%
    Source

    Nemotron 3 Ultra leads this result

Multimodal

  • MMMU

    Nemotron 3 Ultra—
    Qwen3.5-35B-A3B81.4%
    Source

    Not directly comparable

  • MMVU

    Nemotron 3 Ultra—
    Qwen3.5-35B-A3B72.3%
    Source

    Not directly comparable

  • MathVision

    Nemotron 3 Ultra—
    Qwen3.5-35B-A3B83.9%
    Source

    Not directly comparable

  • V*

    Nemotron 3 Ultra—
    Qwen3.5-35B-A3B92.7%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Nemotron 3 Ultra81.7%
    Source
    Qwen3.5-35B-A3B—

    Not directly comparable

  • IFEval

    Nemotron 3 Ultra—
    Qwen3.5-35B-A3B91.9%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Nemotron 3 Ultra or Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B has the higher public score estimate, 56.38 versus 46.32, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Nemotron 3 Ultra or Qwen3.5-35B-A3B?

The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Nemotron 3 Ultra or Qwen3.5-35B-A3B?

The current agentic tasks averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Nemotron 3 Ultra or Qwen3.5-35B-A3B?

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 Ultra or Qwen3.5-35B-A3B?

Nemotron 3 Ultra has the larger documented context window: 1M, compared with 262K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 30, 2026

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