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Comparison · 2 models · Updated Oct 4, 2026

Nemotron 3 Nano Omni 30B A3B Reasoning vs Trinity Large Thinking

Nemotron 3 Nano Omni 30B A3B Reasoning comes out ahead, 69 to 55 on our weighted score.

  1. Our pick

    NVIDIA

    Nemotron 3 Nano Omni 30B A3B Reasoning

    Released Apr 28, 2026

    69/100
    • ECI—
    • Price$0.25 / $0.85
    • Context256K
    Full specs Remove Nemotron 3 Nano Omni 30B A3B Reasoning

  2. Arcee AI

    Trinity Large Thinking

    Released Apr 1, 2026Beta

    55/100
    • ECI—
    • Price$0.25 / $0.80
    • Context524K
    Full specs Remove Trinity Large Thinking

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Nemotron 3 Nano Omni 30B A3B Reasoning is our pick

Nemotron 3 Nano Omni 30B A3B Reasoning is the better all-round choice, scoring 69/100 against Trinity Large Thinking (55). It leads on inputs & features. Trinity Large Thinking wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceTrinity Large ThinkingTrinity Large Thinking $0.388 · Nemotron 3 Nano Omni 30B A3B Reasoning $0.40 per 1M tokens (3:1 blend)
  • Longest contextTrinity Large ThinkingTrinity Large Thinking 524,288 · Nemotron 3 Nano Omni 30B A3B Reasoning 256,000 tokens
  • Widest inputsNemotron 3 Nano Omni 30B A3B ReasoningNemotron 3 Nano Omni 30B A3B Reasoning: Text, Images, Audio, Video · Trinity Large Thinking: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightNemotron 3 Nano Omni 30B A3B ReasoningTrinity Large Thinking
Price50%6969
Inputs & features30%9035
Context window20%3649
Overall100%69/10055/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Nemotron 3 Nano Omni 30B A3B Reasoning vs Trinity Large Thinking specifications side by side
SpecificationNemotron 3 Nano Omni 30B A3B ReasoningNVIDIATrinity Large ThinkingArcee AI
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.25$0.25
Output$0.85$0.80 (best)
Cached input—$0.06
Blended (3:1)$0.40$0.388 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 4 providersOfficial Arcee API
Limits
Context window256,000 tokens524,288 tokens (best)
Max output65,536 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioYesNo
VideoYesNo
ReasoningYesYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenOpenOpenMDW-1.1
API model IDnvidia/nemotron-3-nano-omni-30b-a3b-reasoningtrinity-large-thinking
API providers8 (best)6
ReleasedApr 28, 2026Apr 1, 2026
Knowledge cutoff——
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Nemotron 3 Nano Omni 30B A3B Reasoning$4.20
  • Trinity Large Thinking$4.10
04 — Questions

Which should you choose?

Which is better: Nemotron 3 Nano Omni 30B A3B Reasoning or Trinity Large Thinking?

Nemotron 3 Nano Omni 30B A3B Reasoning is the better all-round choice, scoring 69/100 against Trinity Large Thinking (55). It leads on inputs & features. Trinity Large Thinking wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Nemotron 3 Nano Omni 30B A3B Reasoning or Trinity Large Thinking?

Trinity Large Thinking is cheaper at $0.25 input / $0.80 output per million tokens (official Arcee API price). Nemotron 3 Nano Omni 30B A3B Reasoning costs $0.25 input / $0.85 output per million tokens (median across 4 API providers; free on Nvidia). At a typical mix of three input tokens to one output token, that is $0.388 per million tokens for Trinity Large Thinking versus $0.40 for Nemotron 3 Nano Omni 30B A3B Reasoning (1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Nemotron 3 Nano Omni 30B A3B Reasoning has not been scored yet and Trinity Large Thinking has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Nemotron 3 Nano Omni 30B A3B Reasoning and Trinity Large Thinking yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Trinity Large Thinking has the largest context window at 524,288 tokens, against 256,000 for Nemotron 3 Nano Omni 30B A3B Reasoning. Maximum output per response: Nemotron 3 Nano Omni 30B A3B Reasoning up to 65,536, Trinity Large Thinking up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Nemotron 3 Nano Omni 30B A3B Reasoning accepts text, images, audio and video; Trinity Large Thinking accepts text. Nemotron 3 Nano Omni 30B A3B Reasoning handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights (OpenMDW-1.1), so you can self-host them.

Which is newer?

Nemotron 3 Nano Omni 30B A3B Reasoning is the newest, released Apr 28, 2026. Trinity Large Thinking came out Apr 1, 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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