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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 o1-pro

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

OpenAI logo
Model B
o1-pro

OpenAI

46.25/100

Estimated · Public rank #163

90% interval 34.7–57.8

Decision reading

Nemotron 3 Ultra has the higher public score estimate, 46.32 versus 46.25, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

1 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

    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

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. o1-pro does not fit this workload in one request. o1-pro has no published cached-input rate, so cached tokens use its listed input rate. Nemotron 3 Ultra has no comparable published API token rate.

    Confidence: rate-fallback

  • 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
1
Nemotron 3 Ultra only
18
o1-pro only
0
Like-for-like categories
0 / 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.

Knowledge

Directional only
Nemotron 3 Ultra
53.8
o1-pro
79.0
Weighted basis
3 vs 1 rows
Reading
Directional only

Agentic

Not comparable
Nemotron 3 Ultra
51.3
o1-pro
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Coding

Not comparable
Nemotron 3 Ultra
58.3
o1-pro
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
Nemotron 3 Ultra
61.9
o1-pro
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Math

Not comparable
Nemotron 3 Ultra
Not measured
o1-pro
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Nemotron 3 Ultra
83.0
o1-pro
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Nemotron 3 Ultra
Not measured
o1-pro
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Nemotron 3 Ultra
81.7
o1-pro
Not measured
Weighted basis
1 vs 0 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
o1-pro
$0.45
Fits in one request

Nemotron 3 Ultra 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
o1-pro
$9.30
Fits in one request

Nemotron 3 Ultra 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
o1-pro
$39.00
Does not fit in one request
Cached input priced at the published list-input rate

o1-pro does not fit this workload in one request. o1-pro has no published cached-input rate, so cached tokens use its listed input rate. Nemotron 3 Ultra 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

o1-pro

200K

API model ID

Nemotron 3 Ultra

Not sourced

o1-pro

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

o1-pro

Not published

Documented inputs

Nemotron 3 Ultra

Not sourced

o1-pro

Not sourced

Documented outputs

Nemotron 3 Ultra

Not sourced

o1-pro

Not sourced

Provider availability

Nemotron 3 Ultra

Not sourced

o1-pro

Not sourced

Reasoning profile

Nemotron 3 Ultra

Reasoning

o1-pro

Reasoning

Weight access

Nemotron 3 Ultra

Open Weight

o1-pro

Proprietary

License

Nemotron 3 Ultra

Open Weight

o1-pro

Proprietary

Release date

Nemotron 3 Ultra

2026-06-04

o1-pro

2024-12-01

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
Nemotron 3 Ultra has the higher public score estimate, 46.32 versus 46.25, 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 evidence19 rows

Agentic

  • Terminal-Bench 2.0

    Nemotron 3 Ultra56.4%
    Source
    o1-pro

    Not directly comparable

  • PinchBench

    Nemotron 3 Ultra90.0%
    Source
    o1-pro

    Not directly comparable

  • BrowseComp

    Nemotron 3 Ultra44.4%
    Source
    o1-pro

    Not directly comparable

  • τ³-bench results

    Nemotron 3 Ultra70.9%
    Source
    o1-pro

    Not directly comparable

  • HLE w/ tools

    Nemotron 3 Ultra37.4%
    Source
    o1-pro

    Not directly comparable

Coding

  • SWE-bench Verified

    Nemotron 3 Ultra71.9%
    Source
    o1-pro

    Not directly comparable

  • SWE Multilingual

    Nemotron 3 Ultra67.7%
    Source
    o1-pro

    Not directly comparable

  • LiveCodeBench v6

    Nemotron 3 Ultra89.0%
    Source
    o1-pro

    Not directly comparable

  • SciCode

    Nemotron 3 Ultra44.6%
    Source
    o1-pro

    Not directly comparable

  • Terminal-Bench 2.0

    Nemotron 3 Ultra56.4%
    Source
    o1-pro

    Not directly comparable

Reasoning

  • CritPt

    Nemotron 3 Ultra3.1%
    Source
    o1-pro

    Not directly comparable

  • LongBench v2

    Nemotron 3 Ultra61.9%
    Source
    o1-pro

    Not directly comparable

Knowledge

  • GPQA

    Nemotron 3 Ultra87%
    Source
    o1-pro79%
    Source

    Nemotron 3 Ultra leads this result

  • GPQA-D

    Nemotron 3 Ultra87.0%
    Source
    o1-pro

    Not directly comparable

  • HLE

    Nemotron 3 Ultra26.7%
    Source
    o1-pro

    Not directly comparable

  • HLE w/o tools

    Nemotron 3 Ultra26.7%
    Source
    o1-pro

    Not directly comparable

  • MMLU-Pro

    Nemotron 3 Ultra86.8%
    Source
    o1-pro

    Not directly comparable

Multilingual

  • MMLU-ProX

    Nemotron 3 Ultra83%
    Source
    o1-pro

    Not directly comparable

Instruction following

  • IFBench

    Nemotron 3 Ultra81.7%
    Source
    o1-pro

    Not directly comparable

Frequently asked questions

Which is better, Nemotron 3 Ultra or o1-pro?

Nemotron 3 Ultra has the higher public score estimate, 46.32 versus 46.25, 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 o1-pro?

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 Ultra or o1-pro?

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 Ultra or o1-pro?

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 o1-pro?

Nemotron 3 Ultra has the larger documented context window: 1M, compared with 200K.

Related comparisons

Last updated August 30, 2026

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