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Model A
Ministral 3 8B

Mistral

17.87/100

Supported · Public rank #242

90% interval 14.920.8

Ministral 3 8B 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 29.152.1

Decision reading

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.

0 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.

No workload recommendation clears the current evidence threshold.

Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.

Show secondary and unsupported calls
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Ministral 3 8B 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

    Ministral 3 8B 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

  • Long documents

    Prompts that approach the documented context limit

    No clear pick

    The documented context windows are equal.

    Confidence: documented

  • 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: 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
0
Ministral 3 8B only
0
Nemotron 3 Nano Omni 30B A3B only
16
Like-for-like categories
0 / 8

2 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
Ministral 3 8B
21.0
Estimated · #151/152
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
Ministral 3 8B
21.1
Estimated · #150/151
Nemotron 3 Nano Omni 30B A3B
40.2
Estimated · #116/151
Basis
BenchAlign lane · 0 vs 2 public rows
Reading
Directional only

Reasoning

Not comparable
Ministral 3 8B
Not ranked
Nemotron 3 Nano Omni 30B A3B
48.3
Unranked · 2 rankable rows
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Ministral 3 8B
Not ranked
Nemotron 3 Nano Omni 30B A3B
38.7
Supported · #143/183
Basis
BenchAlign lane · 0 vs 3 public rows
Reading
Not comparable

Math

Not comparable
Ministral 3 8B
Not ranked
Nemotron 3 Nano Omni 30B A3B
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Ministral 3 8B
Not ranked
Nemotron 3 Nano Omni 30B A3B
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Ministral 3 8B
Not ranked
Nemotron 3 Nano Omni 30B A3B
39.3
#42/48
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Ministral 3 8B
Not ranked
Nemotron 3 Nano Omni 30B A3B
75.9
#59/123
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.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

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

Ministral 3 8B
$0.00022
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

Ministral 3 8B
$0.00795
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

Ministral 3 8B
$0.0345
Fits in one request
Cached input priced at the published list-input rate
Nemotron 3 Nano Omni 30B A3B
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

Ministral 3 8B has no published cached-input rate, so cached tokens use its listed input rate. 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.

Ministral 3 8B

256K

Nemotron 3 Nano Omni 30B A3B

256K

API model ID

Ministral 3 8B

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.

Ministral 3 8B

Not published

Nemotron 3 Nano Omni 30B A3B

No comparable hosted API rate

Documented inputs

Ministral 3 8B

Not sourced

Nemotron 3 Nano Omni 30B A3B

Not sourced

Documented outputs

Ministral 3 8B

Not sourced

Nemotron 3 Nano Omni 30B A3B

Not sourced

Provider availability

Ministral 3 8B

Not sourced

Nemotron 3 Nano Omni 30B A3B

Not sourced

Reasoning profile

Ministral 3 8B

Non-Reasoning

Nemotron 3 Nano Omni 30B A3B

Reasoning

Weight access

Ministral 3 8B

Open Weight

Nemotron 3 Nano Omni 30B A3B

Open Weight

License

Ministral 3 8B

Open Weight

Nemotron 3 Nano Omni 30B A3B

Open Weight

Release date

Ministral 3 8B

2025-12-02

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
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Both models list 256K.

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 evidence16 rows

Agentic

  • OSWorld

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B47.4%
    Source

    Not directly comparable

  • τ²-bench results

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B45.3%
    Source

    Not directly comparable

Coding

  • LiveCodeBench v5

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B63.2%
    Source

    Not directly comparable

  • SciCode

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B32%
    Source

    Not directly comparable

Knowledge

  • MMLU-Pro

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B77.3%
    Source

    Not directly comparable

  • GPQA

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B72.2%
    Source

    Not directly comparable

  • GPQA-D

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B72.2%
    Source

    Not directly comparable

Math

  • AIME 2025

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B82.1%
    Source

    Not directly comparable

Multimodal

  • MMMU

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B70.8%
    Source

    Not directly comparable

  • MMLongBench-Doc

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B57.5%
    Source

    Not directly comparable

  • CharXiv

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B76.3%
    Source

    Not directly comparable

  • ScreenSpot Pro

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B57.8%
    Source

    Not directly comparable

  • Video-MME (w/o subtitle)

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B72.2%
    Source

    Not directly comparable

  • AI2D_TEST

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B88.5%
    Source

    Not directly comparable

  • RefCOCO (avg)

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B90.5%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Ministral 3 8B
    Nemotron 3 Nano Omni 30B A3B74.2%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Ministral 3 8B or Nemotron 3 Nano Omni 30B A3B?

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Ministral 3 8B or Nemotron 3 Nano Omni 30B A3B?

Nemotron 3 Nano Omni 30B A3B scores higher for coding on the public lane, 40.2 to 21.1. Ministral 3 8B 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, Ministral 3 8B 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 21. Ministral 3 8B 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, Ministral 3 8B 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, Ministral 3 8B or Nemotron 3 Nano Omni 30B A3B?

Both models list the same context window, 256K.

Related comparisons

Last updated September 10, 2026

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