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Comparison · 3 models · Updated Nov 2, 2026

CoBuddy vs Nemotron 3 Nano Omni 30B A3B Reasoning vs Perceptron Mk1

Nemotron 3 Nano Omni 30B A3B Reasoning comes out ahead, 67 to 46 and 45 on our weighted score, and it is the cheaper option too.

  1. Baidu

    CoBuddy

    Released May 6, 2026

    46/100
    • ECI—
    • Price$0.28 / $1.13
    • Context131K
  2. Our pick

    NVIDIA

    Nemotron 3 Nano Omni 30B A3B Reasoning

    Released Apr 28, 2026

    67/100
    • ECI—
    • Price$0.25 / $0.85
    • Context256K
  3. Perceptron

    Perceptron Mk1

    Released May 12, 2026

    45/100
    • ECI—
    • Price$0.15 / $1.50
    • Context33K
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 67/100 against CoBuddy (46) and Perceptron Mk1 (45). It leads on price, inputs & features and 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 priceNemotron 3 Nano Omni 30B A3B ReasoningNemotron 3 Nano Omni 30B A3B Reasoning $0.40 · Perceptron Mk1 $0.487 · CoBuddy $0.492 per 1M tokens (3:1 blend)
  • Longest contextNemotron 3 Nano Omni 30B A3B ReasoningNemotron 3 Nano Omni 30B A3B Reasoning 256,000 · CoBuddy 131,072 · Perceptron Mk1 32,768 tokens
  • Widest inputsNemotron 3 Nano Omni 30B A3B ReasoningCoBuddy: Text · Nemotron 3 Nano Omni 30B A3B Reasoning: Text, Images, Audio, Video · Perceptron Mk1: Text, Images, Video
  • Self-hostingNemotron 3 Nano Omni 30B A3B ReasoningPublishes downloadable weights
How the score is built
MeasureWeightCoBuddyNemotron 3 Nano Omni 30B A3B ReasoningPerceptron Mk1
Price50%626662
Inputs & features30%359045
Context window20%25360
Overall100%46/10067/10045/100

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.

CoBuddy vs Nemotron 3 Nano Omni 30B A3B Reasoning vs Perceptron Mk1 specifications side by side
SpecificationCoBuddyBaiduNemotron 3 Nano Omni 30B A3B ReasoningNVIDIAPerceptron Mk1Perceptron
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.28$0.25$0.15 (best)
Output$1.13$0.85 (best)$1.50
Cached input———
Blended (3:1)$0.492$0.40 (best)$0.487
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 1 providersMedian of 4 providersMedian of 3 providers
Limits
Context window131,072 tokens256,000 tokens (best)32,768 tokens
Max output65,536 tokens (best)65,536 tokens (best)8,192 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoYesNo
VideoNoYesYes
ReasoningYesYesYes
Tool callingYesYesNo
Structured outputNoYesNo
Availability
WeightsProprietaryOpenProprietary
API model ID—nvidia/nemotron-3-nano-omni-30b-a3b-reasoning—
API providers19 (best)3
ReleasedMay 6, 2026Apr 28, 2026May 12, 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.

  • CoBuddy$5.06
  • Nemotron 3 Nano Omni 30B A3B Reasoning$4.20
  • Perceptron Mk1$4.50
04 — Questions

Which should you choose?

Which is better: CoBuddy, Nemotron 3 Nano Omni 30B A3B Reasoning or Perceptron Mk1?

Nemotron 3 Nano Omni 30B A3B Reasoning is the better all-round choice, scoring 67/100 against CoBuddy (46) and Perceptron Mk1 (45). It leads on price, inputs & features and 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, CoBuddy, Nemotron 3 Nano Omni 30B A3B Reasoning or Perceptron Mk1?

Nemotron 3 Nano Omni 30B A3B Reasoning is cheaper at $0.25 input / $0.85 output per million tokens (median across 4 API providers; free on Nvidia). Perceptron Mk1 costs $0.15 input / $1.50 output per million tokens (median across 3 API providers); CoBuddy costs $0.28 input / $1.13 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.40 per million tokens for Nemotron 3 Nano Omni 30B A3B Reasoning versus $0.487 for Perceptron Mk1 (1.2× as much) and $0.492 for CoBuddy (1.2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. CoBuddy has not been scored yet, Nemotron 3 Nano Omni 30B A3B Reasoning has not been scored yet and Perceptron Mk1 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for CoBuddy, Nemotron 3 Nano Omni 30B A3B Reasoning and Perceptron Mk1 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Perceptron Mk1 does not support tool calling, which most coding agents need.

Which has the bigger context window?

Nemotron 3 Nano Omni 30B A3B Reasoning has the largest context window at 256,000 tokens, against 131,072 for CoBuddy and 32,768 for Perceptron Mk1. Maximum output per response: CoBuddy up to 65,536, Nemotron 3 Nano Omni 30B A3B Reasoning up to 65,536, Perceptron Mk1 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

CoBuddy accepts text; Nemotron 3 Nano Omni 30B A3B Reasoning accepts text, images, audio and video; Perceptron Mk1 accepts text, images and video. Nemotron 3 Nano Omni 30B A3B Reasoning handles the widest range of inputs.

Are any of these open source?

Nemotron 3 Nano Omni 30B A3B Reasoning publishes its weights and can be self-hosted; CoBuddy and Perceptron Mk1 is proprietary.

Which is newer?

Perceptron Mk1 is the newest, released May 12, 2026. CoBuddy came out May 6, 2026; Nemotron 3 Nano Omni 30B A3B Reasoning came out Apr 28, 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 Nov 2, 2026.