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Comparison · 2 models · Updated Oct 4, 2026

Nemotron 3 Nano Omni 30B A3B Reasoning vs Qwen3.6 27B

Nemotron 3 Nano Omni 30B A3B Reasoning comes out ahead, 69 to 56 on our weighted score, and it is the cheaper option too.

  1. Our pick

    NVIDIA

    Nemotron 3 Nano Omni 30B A3B Reasoning

    Released Apr 28, 2026

    69/100
    • ECI—
    • Price$0.25 / $0.85
    • Context256K
  2. Alibaba (Qwen)

    Qwen3.6 27B

    Released Apr 22, 2026

    56/100
    • ECI146.5
    • Price$0.60 / $3.60
    • Context262K
  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 Qwen3.6 27B (56). It leads on price. 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 · Qwen3.6 27B $1.35 per 1M tokens (3:1 blend)
  • Longest contextQwen3.6 27BQwen3.6 27B 262,144 · Nemotron 3 Nano Omni 30B A3B Reasoning 256,000 tokens
  • Widest inputsSame inputsNemotron 3 Nano Omni 30B A3B Reasoning: Text, Images, Audio, Video · Qwen3.6 27B: Text, Images, Audio, Video
  • 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 ReasoningQwen3.6 27B
Price50%6944
Inputs & features30%9090
Context window20%3637
Overall100%69/10056/100

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 Qwen3.6 27B specifications side by side
SpecificationNemotron 3 Nano Omni 30B A3B ReasoningNVIDIAQwen3.6 27BAlibaba (Qwen)
Capability
Capabilities Index (ECI)—146.5
ECI rank—#68 of 148
GPQA DiamondGraduate-level science questions—85.9%
FrontierMath Tiers 1–3Research-level mathematics—35.1%
OTIS Mock AIME 2024–2025Competition mathematics—91.1%
Price per million tokens
Input$0.25 (best)$0.60
Output$0.85 (best)$3.60
Cached input——
Blended (3:1)$0.40 (best)$1.35
Long-context rateSame rateSame rate
Price sourceMedian of 4 providersOfficial Alibaba API
Limits
Context window256,000 tokens262,144 tokens (best)
Max output65,536 tokens65,536 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioYesYes
VideoYesYes
ReasoningYesYes
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenOpen
API model IDnvidia/nemotron-3-nano-omni-30b-a3b-reasoningqwen3.6-27b
API providers827 (best)
ReleasedApr 28, 2026Apr 22, 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
  • Qwen3.6 27B$13.20
04 — Questions

Which should you choose?

Which is better: Nemotron 3 Nano Omni 30B A3B Reasoning or Qwen3.6 27B?

Nemotron 3 Nano Omni 30B A3B Reasoning is the better all-round choice, scoring 69/100 against Qwen3.6 27B (56). It leads on price. 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 Qwen3.6 27B?

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). Qwen3.6 27B costs $0.60 input / $3.60 output per million tokens (official Alibaba API price). 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 $1.35 for Qwen3.6 27B (3.4× 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 Qwen3.6 27B has an ECI of 146.5.

Which is better for coding?

There are no published SWE-bench Verified results for Nemotron 3 Nano Omni 30B A3B Reasoning and Qwen3.6 27B 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?

Qwen3.6 27B has the largest context window at 262,144 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, Qwen3.6 27B up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Nemotron 3 Nano Omni 30B A3B Reasoning accepts text, images, audio and video; Qwen3.6 27B accepts text, images, audio and video. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Nemotron 3 Nano Omni 30B A3B Reasoning is the newest, released Apr 28, 2026. Qwen3.6 27B came out Apr 22, 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.