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Nemotron 3 Nano Omni 30B A3B vs Sakana Fugu

Updated September 27, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.

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Decision reading

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. 4 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

30.84/100

Estimated · Public rank #153

90% interval 19.3–42.4

Model B
Sakana AI logo

Sakana AI

—

Evidence status unavailable

90% interval unavailable

Shared results
4
Nemotron 3 Nano Omni 30B A3B only
12
Sakana Fugu only
7
Like-for-like categories
0 / 8
Estimated: Nemotron 3 Nano Omni 30B A3BHow 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

    Sakana Fugu

    Sakana Fugu 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

    Sakana Fugu is not ranked on the public lane for coding, so no winner is named for coding.

    Confidence: limited
  • Agentic work

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

    Not enough matched evidence

    Nemotron 3 Nano Omni 30B A3B and Sakana Fugu are not ranked on the public lane for agentic, so no winner is named for agentic.

    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.

20.7Nemotron 3 Nano Omni 30B A3B—Sakana Fugu

Not comparable · BenchAlign v5.7

The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.

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.

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.

Agentic

Not comparable
Nemotron 3 Nano Omni 30B A3B
Not ranked
Sakana Fugu
Not ranked
Basis
BenchAlign v5.7 lane · 2 vs 1 public rows
Reading
Not comparable

Coding

Not comparable
Nemotron 3 Nano Omni 30B A3B
20.7
Estimated · #114/135
Sakana Fugu
Not ranked
Basis
BenchAlign v5.7 lane · 2 vs 5 public rows
Reading
Not comparable

Reasoning

Not comparable
Nemotron 3 Nano Omni 30B A3B
49.4
Unranked · 2 rankable rows
Sakana Fugu
70.6
Unranked · 1 rankable row
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Nemotron 3 Nano Omni 30B A3B
39.3
#44/50
Sakana Fugu
68.6
Unranked · 1 rankable row
Basis
Provisional lane · 1 vs 1 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Nemotron 3 Nano Omni 30B A3B
31.9
Supported · #121/158
Sakana Fugu
Not ranked
Basis
BenchAlign v5.7 lane · 3 vs 3 public rows
Reading
Not comparable

Multilingual

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

Instruction following

Not comparable
Nemotron 3 Nano Omni 30B A3B
72.4
#62/124
Sakana Fugu
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Nemotron 3 Nano Omni 30B A3B
Not ranked
Sakana Fugu
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 Nano Omni 30B A3B
Self-hosted; infrastructure cost varies
Fits in one request
Sakana Fugu
API rate not published
Fits in one request

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

Repository review

50K fresh input + 3K output tokens

Nemotron 3 Nano Omni 30B A3B
Self-hosted; infrastructure cost varies
Fits in one request
Sakana Fugu
API rate not published
Fits in one request

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

Cache-heavy agent loop

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

Nemotron 3 Nano Omni 30B A3B
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
Sakana Fugu
API rate not published
Fits in one request
Cached-input rate unavailable

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

Context window

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

Nemotron 3 Nano Omni 30B A3B

256K

Sakana Fugu

1M

API model ID

Nemotron 3 Nano Omni 30B A3B

Not sourced

Sakana Fugu

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 Nano Omni 30B A3B

No comparable hosted API rate

Sakana Fugu

No comparable hosted API rate

Documented inputs

Nemotron 3 Nano Omni 30B A3B

Not sourced

Sakana Fugu

Not sourced

Documented outputs

Nemotron 3 Nano Omni 30B A3B

Not sourced

Sakana Fugu

Not sourced

Provider availability

Nemotron 3 Nano Omni 30B A3B

Not sourced

Sakana Fugu

Not sourced

Reasoning profile

Nemotron 3 Nano Omni 30B A3B

Reasoning

Sakana Fugu

Reasoning

Weight access

Nemotron 3 Nano Omni 30B A3B

Open Weight

Sakana Fugu

Proprietary

License

Nemotron 3 Nano Omni 30B A3B

Open Weight

Sakana Fugu

Proprietary

Release date

Nemotron 3 Nano Omni 30B A3B

2026-04-28

Sakana Fugu

2026-06-22

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
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Sakana Fugu has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Nemotron 3 Nano Omni 30B A3B or Sakana Fugu?

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Nemotron 3 Nano Omni 30B A3B or Sakana Fugu?

Sakana Fugu is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Nemotron 3 Nano Omni 30B A3B or Sakana Fugu?

Nemotron 3 Nano Omni 30B A3B and Sakana Fugu are not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Nemotron 3 Nano Omni 30B A3B or Sakana Fugu?

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 Nano Omni 30B A3B or Sakana Fugu?

Sakana Fugu has the larger documented context window: 1M, compared with 256K.

Benchmark evidence

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

Browse raw public benchmark evidence23 rows

Agentic

  • OSWorld

    Nemotron 3 Nano Omni 30B A3B47.4%
    Source
    Sakana Fugu—

    Not directly comparable

  • τ²-bench results

    Nemotron 3 Nano Omni 30B A3B45.3%
    Source
    Sakana Fugu—

    Not directly comparable

  • Terminal-Bench 2.1

    Nemotron 3 Nano Omni 30B A3B—
    Sakana Fugu80.2%
    Source

    Not directly comparable

Coding

  • LiveCodeBench v5

    Nemotron 3 Nano Omni 30B A3B63.2%
    Source
    Sakana Fugu—

    Not directly comparable

  • SciCode

    Nemotron 3 Nano Omni 30B A3B32%
    Source
    Sakana Fugu60.1%
    Source

    Sakana Fugu leads this result

  • SWE-bench Pro

    Nemotron 3 Nano Omni 30B A3B—
    Sakana Fugu59%
    Source

    Not directly comparable

  • Terminal-Bench 2.1

    Nemotron 3 Nano Omni 30B A3B—
    Sakana Fugu80.2%
    Source

    Not directly comparable

  • LiveCodeBench v6

    Nemotron 3 Nano Omni 30B A3B—
    Sakana Fugu92.9%
    Source

    Not directly comparable

  • LiveCodeBench Pro

    Nemotron 3 Nano Omni 30B A3B—
    Sakana Fugu87.8%
    Source

    Not directly comparable

Reasoning

  • MRCRv2

    Nemotron 3 Nano Omni 30B A3B—
    Sakana Fugu86.6%
    Source

    Not directly comparable

Multimodal

  • MMMU

    Nemotron 3 Nano Omni 30B A3B70.8%
    Source
    Sakana Fugu—

    Not directly comparable

  • MMLongBench-Doc

    Nemotron 3 Nano Omni 30B A3B57.5%
    Source
    Sakana Fugu—

    Not directly comparable

  • CharXiv

    Nemotron 3 Nano Omni 30B A3B76.3%
    Source
    Sakana Fugu85.1%
    Source

    Sakana Fugu leads this result

  • ScreenSpot Pro

    Nemotron 3 Nano Omni 30B A3B57.8%
    Source
    Sakana Fugu—

    Not directly comparable

  • Video-MME (w/o subtitle)

    Nemotron 3 Nano Omni 30B A3B72.2%
    Source
    Sakana Fugu—

    Not directly comparable

  • AI2D_TEST

    Nemotron 3 Nano Omni 30B A3B88.5%
    Source
    Sakana Fugu—

    Not directly comparable

  • RefCOCO (avg)

    Nemotron 3 Nano Omni 30B A3B90.5%
    Source
    Sakana Fugu—

    Not directly comparable

Knowledge

  • MMLU-Pro

    Nemotron 3 Nano Omni 30B A3B77.3%
    Source
    Sakana Fugu—

    Not directly comparable

  • GPQA

    Nemotron 3 Nano Omni 30B A3B72.2%
    Source
    Sakana Fugu95.5%
    Source

    Sakana Fugu leads this result

  • GPQA-D

    Nemotron 3 Nano Omni 30B A3B72.2%
    Source
    Sakana Fugu95.5%
    Source

    Sakana Fugu leads this result

  • HLE w/o tools

    Nemotron 3 Nano Omni 30B A3B—
    Sakana Fugu47.2%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Nemotron 3 Nano Omni 30B A3B74.2%
    Source
    Sakana Fugu—

    Not directly comparable

Math

  • AIME 2025

    Nemotron 3 Nano Omni 30B A3B82.1%
    Source
    Sakana Fugu—

    Not directly comparable

23 public results · 4 shared

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Last updated September 27, 2026