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BenchLM
DeepSeek logo
Model A
DeepSeek V3

DeepSeek

41.49/100

Supported · Public rank #179

90% interval 23.0–60.0

DeepSeek V3 vs Nemotron 3 Nano Omni 30B A3B

Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

NVIDIA logo
Model B
Nemotron 3 Nano Omni 30B A3B

NVIDIA

40.6/100

Estimated · Public rank #183

90% interval 29.1–52.1

Decision reading

DeepSeek V3 has the higher public score estimate, 41.49 versus 40.6, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

2 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

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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 Nano Omni 30B A3B

    Nemotron 3 Nano Omni 30B A3B 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

    DeepSeek V3 and Nemotron 3 Nano Omni 30B A3B are 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

    DeepSeek V3 and Nemotron 3 Nano Omni 30B A3B are 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

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. DeepSeek V3 does not fit this workload in one request. Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.

    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
2
DeepSeek V3 only
4
Nemotron 3 Nano Omni 30B A3B only
14
Like-for-like categories
0 / 8

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

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign 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.

Agentic

Directional only
DeepSeek V3
36.7
Estimated · #130/152
Nemotron 3 Nano Omni 30B A3B
44.3
Estimated · #90/152
Basis
BenchAlign lane · 0 vs 2 public rows
Reading
Directional only

Coding

Directional only
DeepSeek V3
39.3
Estimated · #118/151
Nemotron 3 Nano Omni 30B A3B
40.2
Estimated · #116/151
Basis
BenchAlign lane · 2 vs 2 public rows
Reading
Directional only

Knowledge

Directional only
DeepSeek V3
39.3
Estimated · #137/183
Nemotron 3 Nano Omni 30B A3B
38.7
Supported · #143/183
Basis
BenchAlign lane · 2 vs 3 public rows
Reading
Directional only

Instruction following

Directional only
DeepSeek V3
39.9
#104/123
Nemotron 3 Nano Omni 30B A3B
75.9
#59/123
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Directional only

Reasoning

Not comparable
DeepSeek V3
41.2
Unranked · 2 rankable rows
Nemotron 3 Nano Omni 30B A3B
48.3
Unranked · 2 rankable rows
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
DeepSeek V3
26.2
Unranked · 1 rankable row
Nemotron 3 Nano Omni 30B A3B
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
DeepSeek V3
Not ranked
Nemotron 3 Nano Omni 30B A3B
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
DeepSeek V3
Not ranked
Nemotron 3 Nano Omni 30B A3B
39.3
#42/48
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

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

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

DeepSeek V3
$0.00082
Fits in one request
Nemotron 3 Nano Omni 30B A3B
Self-hosted; infrastructure cost varies
Fits in one request

Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

DeepSeek V3
$0.0168
Fits in one request
Nemotron 3 Nano Omni 30B A3B
Self-hosted; infrastructure cost varies
Fits in one request

Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.

Cache-heavy agent loop

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

DeepSeek V3
$0.0304
Does not fit in one request
Nemotron 3 Nano Omni 30B A3B
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

DeepSeek V3 does not fit this workload in one request. Nemotron 3 Nano Omni 30B 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.

DeepSeek V3

128K

Nemotron 3 Nano Omni 30B A3B

256K

API model ID

DeepSeek V3

Not sourced

Nemotron 3 Nano Omni 30B A3B

Not sourced

Cached-input rate

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

DeepSeek V3

$0.07 per 1M cached input tokens

Nemotron 3 Nano Omni 30B A3B

No comparable hosted API rate

Documented inputs

DeepSeek V3

Not sourced

Nemotron 3 Nano Omni 30B A3B

Not sourced

Documented outputs

DeepSeek V3

Not sourced

Nemotron 3 Nano Omni 30B A3B

Not sourced

Provider availability

DeepSeek V3

Not sourced

Nemotron 3 Nano Omni 30B A3B

Not sourced

Reasoning profile

DeepSeek V3

Non-Reasoning

Nemotron 3 Nano Omni 30B A3B

Reasoning

Weight access

DeepSeek V3

Open Weight

Nemotron 3 Nano Omni 30B A3B

Open Weight

License

DeepSeek V3

Open Weight

Nemotron 3 Nano Omni 30B A3B

Open Weight

Release date

DeepSeek V3

2024-12-26

Nemotron 3 Nano Omni 30B A3B

2026-04-28

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
DeepSeek V3 has the higher public score estimate, 41.49 versus 40.6, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Nemotron 3 Nano Omni 30B A3B has the larger documented window (256K).

Run the same representative tasks against both endpoints before changing production traffic.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

DeepSeek V3
API / mo$1,028
Self-host / mo$18,221
Break-even1.2B/day
Nemotron 3 Nano Omni 30B A3B
API / mo$0
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Model the full break-even

Benchmark evidence

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

Browse raw public benchmark evidence20 rows

Agentic

  • OSWorld

    DeepSeek V3—
    Nemotron 3 Nano Omni 30B A3B47.4%
    Source

    Not directly comparable

  • τ²-bench results

    DeepSeek V3—
    Nemotron 3 Nano Omni 30B A3B45.3%
    Source

    Not directly comparable

Coding

  • LiveCodeBench

    DeepSeek V337.6%
    Source
    Nemotron 3 Nano Omni 30B A3B—

    Not directly comparable

  • SWE-bench Verified

    DeepSeek V342%
    Source
    Nemotron 3 Nano Omni 30B A3B—

    Not directly comparable

  • LiveCodeBench v5

    DeepSeek V3—
    Nemotron 3 Nano Omni 30B A3B63.2%
    Source

    Not directly comparable

  • SciCode

    DeepSeek V3—
    Nemotron 3 Nano Omni 30B A3B32%
    Source

    Not directly comparable

Knowledge

  • GPQA

    DeepSeek V359.1%
    Source
    Nemotron 3 Nano Omni 30B A3B72.2%
    Source

    Nemotron 3 Nano Omni 30B A3B leads this result

  • MMLU-Pro

    DeepSeek V375.9%
    Source
    Nemotron 3 Nano Omni 30B A3B77.3%
    Source

    Nemotron 3 Nano Omni 30B A3B leads this result

  • GPQA-D

    DeepSeek V3—
    Nemotron 3 Nano Omni 30B A3B72.2%
    Source

    Not directly comparable

Math

  • FrontierMath v2 (Tiers 1-3)

    DeepSeek V31.724%
    Source
    Nemotron 3 Nano Omni 30B A3B—

    Not directly comparable

  • AIME 2025

    DeepSeek V3—
    Nemotron 3 Nano Omni 30B A3B82.1%
    Source

    Not directly comparable

Multimodal

  • MMMU

    DeepSeek V3—
    Nemotron 3 Nano Omni 30B A3B70.8%
    Source

    Not directly comparable

  • MMLongBench-Doc

    DeepSeek V3—
    Nemotron 3 Nano Omni 30B A3B57.5%
    Source

    Not directly comparable

  • CharXiv

    DeepSeek V3—
    Nemotron 3 Nano Omni 30B A3B76.3%
    Source

    Not directly comparable

  • ScreenSpot Pro

    DeepSeek V3—
    Nemotron 3 Nano Omni 30B A3B57.8%
    Source

    Not directly comparable

  • Video-MME (w/o subtitle)

    DeepSeek V3—
    Nemotron 3 Nano Omni 30B A3B72.2%
    Source

    Not directly comparable

  • AI2D_TEST

    DeepSeek V3—
    Nemotron 3 Nano Omni 30B A3B88.5%
    Source

    Not directly comparable

  • RefCOCO (avg)

    DeepSeek V3—
    Nemotron 3 Nano Omni 30B A3B90.5%
    Source

    Not directly comparable

Instruction following

  • IFEval

    DeepSeek V386.1%
    Source
    Nemotron 3 Nano Omni 30B A3B—

    Not directly comparable

  • IFBench

    DeepSeek V3—
    Nemotron 3 Nano Omni 30B A3B74.2%
    Source

    Not directly comparable

Frequently asked questions

Which is better, DeepSeek V3 or Nemotron 3 Nano Omni 30B A3B?

DeepSeek V3 has the higher public score estimate, 41.49 versus 40.6, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, DeepSeek V3 or Nemotron 3 Nano Omni 30B A3B?

Nemotron 3 Nano Omni 30B A3B scores higher for coding on the public lane, 40.2 to 39.3. DeepSeek V3 and Nemotron 3 Nano Omni 30B A3B are 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, DeepSeek V3 or Nemotron 3 Nano Omni 30B A3B?

Nemotron 3 Nano Omni 30B A3B scores higher for agentic tasks on the public lane, 44.3 to 36.7. DeepSeek V3 and Nemotron 3 Nano Omni 30B A3B are 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, DeepSeek V3 or Nemotron 3 Nano Omni 30B 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, DeepSeek V3 or Nemotron 3 Nano Omni 30B A3B?

Nemotron 3 Nano Omni 30B A3B has the larger documented context window: 256K, compared with 128K.

Related comparisons

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Last updated September 10, 2026

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