Skip to main content
BenchLM
Advertise

Model comparison

LFM2.5-Embedding-350M vs Nemotron 3 Nano Omni 30B A3B

Updated August 2, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

20 confirmed releases in the last 30 daysSee provider release alerts
LFM2.5-Embedding-350M

LiquidAI

—

Evidence status unavailable

90% interval unavailable

Nemotron 3 Nano Omni 30B A3B

NVIDIA

43.3/100

Estimated · Public rank #160

90% interval 31.8–54.8

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 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 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

    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. LFM2.5-Embedding-350M does not fit this workload in one request. LFM2.5-Embedding-350M has no comparable published API token rate. 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

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. LFM2.5-Embedding-350M does not fit this workload in one request. LFM2.5-Embedding-350M has no comparable published API token rate. Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.

    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
LFM2.5-Embedding-350M only
2
Nemotron 3 Nano Omni 30B A3B only
16
Like-for-like categories
0 / 8

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.

Agentic

Not comparable
LFM2.5-Embedding-350M
Not measured
Nemotron 3 Nano Omni 30B A3B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Coding

Not comparable
LFM2.5-Embedding-350M
Not measured
Nemotron 3 Nano Omni 30B A3B
32.0
Weighted basis
0 vs 1 rows
Reading
Not comparable

Reasoning

Not comparable
LFM2.5-Embedding-350M
Not measured
Nemotron 3 Nano Omni 30B A3B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
LFM2.5-Embedding-350M
Not measured
Nemotron 3 Nano Omni 30B A3B
76.3
Weighted basis
0 vs 2 rows
Reading
Not comparable

Math

Not comparable
LFM2.5-Embedding-350M
Not measured
Nemotron 3 Nano Omni 30B A3B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
LFM2.5-Embedding-350M
Not measured
Nemotron 3 Nano Omni 30B A3B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
LFM2.5-Embedding-350M
Not measured
Nemotron 3 Nano Omni 30B A3B
76.3
Weighted basis
0 vs 1 rows
Reading
Not comparable

Instruction following

Not comparable
LFM2.5-Embedding-350M
Not measured
Nemotron 3 Nano Omni 30B A3B
74.2
Weighted basis
0 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.

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

LFM2.5-Embedding-350M
Self-hosted; infrastructure cost varies
Fits in one request
Nemotron 3 Nano Omni 30B A3B
Self-hosted; infrastructure cost varies
Fits in one request

LFM2.5-Embedding-350M has no comparable published API token rate. Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

LFM2.5-Embedding-350M
Self-hosted; infrastructure cost varies
Does not fit in one request
Nemotron 3 Nano Omni 30B A3B
Self-hosted; infrastructure cost varies
Fits in one request

LFM2.5-Embedding-350M does not fit this workload in one request. LFM2.5-Embedding-350M has no comparable published API token rate. 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

LFM2.5-Embedding-350M
Self-hosted; infrastructure cost varies
Does not fit in one request
Cached-input rate unavailable
Nemotron 3 Nano Omni 30B A3B
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

LFM2.5-Embedding-350M does not fit this workload in one request. LFM2.5-Embedding-350M has no comparable published API token 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.

LFM2.5-Embedding-350M

32K

Nemotron 3 Nano Omni 30B A3B

256K

API model ID

LFM2.5-Embedding-350M

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.

LFM2.5-Embedding-350M

No comparable hosted API rate

Nemotron 3 Nano Omni 30B A3B

No comparable hosted API rate

Documented inputs

LFM2.5-Embedding-350M

Not sourced

Nemotron 3 Nano Omni 30B A3B

Not sourced

Documented outputs

LFM2.5-Embedding-350M

Not sourced

Nemotron 3 Nano Omni 30B A3B

Not sourced

Provider availability

LFM2.5-Embedding-350M

Not sourced

Nemotron 3 Nano Omni 30B A3B

Not sourced

Reasoning profile

LFM2.5-Embedding-350M

Non-Reasoning

Nemotron 3 Nano Omni 30B A3B

Reasoning

Weight access

LFM2.5-Embedding-350M

Open Weight

Nemotron 3 Nano Omni 30B A3B

Open Weight

License

LFM2.5-Embedding-350M

Open Weight

Nemotron 3 Nano Omni 30B A3B

Open Weight

Release date

LFM2.5-Embedding-350M

2026-06-18

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
Nemotron 3 Nano Omni 30B A3B has the larger documented window (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 evidence18 rows

Agentic

  • OSWorld

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B47.4%
    Source

    Not directly comparable

  • τ²-bench results

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B45.3%
    Source

    Not directly comparable

Coding

  • LiveCodeBench v5

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B63.2%
    Source

    Not directly comparable

  • SciCode

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B32%
    Source

    Not directly comparable

Knowledge

  • MMLU-Pro

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B77.3%
    Source

    Not directly comparable

  • GPQA

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B72.2%
    Source

    Not directly comparable

  • GPQA-D

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B72.2%
    Source

    Not directly comparable

Math

  • AIME 2025

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B82.1%
    Source

    Not directly comparable

Multilingual

  • NanoBEIR Multilingual

    LFM2.5-Embedding-350M57.7%
    Source
    Nemotron 3 Nano Omni 30B A3B—

    Not directly comparable

  • MKQA-11

    LFM2.5-Embedding-350M69.1%
    Source
    Nemotron 3 Nano Omni 30B A3B—

    Not directly comparable

Multimodal

  • MMMU

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B70.8%
    Source

    Not directly comparable

  • MMLongBench-Doc

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B57.5%
    Source

    Not directly comparable

  • CharXiv

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B76.3%
    Source

    Not directly comparable

  • ScreenSpot Pro

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B57.8%
    Source

    Not directly comparable

  • Video-MME (w/o subtitle)

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B72.2%
    Source

    Not directly comparable

  • AI2D_TEST

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B88.5%
    Source

    Not directly comparable

  • RefCOCO (avg)

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B90.5%
    Source

    Not directly comparable

Instruction following

  • IFBench

    LFM2.5-Embedding-350M—
    Nemotron 3 Nano Omni 30B A3B74.2%
    Source

    Not directly comparable

Frequently asked questions

Which is better, LFM2.5-Embedding-350M 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, LFM2.5-Embedding-350M or Nemotron 3 Nano Omni 30B A3B?

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, LFM2.5-Embedding-350M or Nemotron 3 Nano Omni 30B A3B?

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, LFM2.5-Embedding-350M 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, LFM2.5-Embedding-350M or Nemotron 3 Nano Omni 30B A3B?

Nemotron 3 Nano Omni 30B A3B has the larger documented context window: 256K, compared with 32K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 2, 2026

Watch LFM2.5-Embedding-350M vs Nemotron 3 Nano Omni 30B A3B

One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.

Read a sample issue

Join 2,000+ readers.