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Comparison · 2 models · Updated Nov 2, 2026

Nemotron Nano 12B v2 VL vs Qwen3 Omni 30B A3B Thinking

Too close to call on our weighted score (Nemotron Nano 12B v2 VL 62, Qwen3 Omni 30B A3B Thinking 59). The right pick depends on what you value most.

  1. NVIDIA

    Nemotron Nano 12B v2 VL

    Released Oct 28, 2025

    62/100
    • ECI—
    • Price$0.20 / $0.60
    • Context128K
    Full specs Remove Nemotron Nano 12B v2 VL

  2. Alibaba (Qwen)

    Qwen3 Omni 30B A3B Thinking

    Released Sep 22, 2025

    59/100
    • ECI—
    • Price$0.25 / $0.97
    • Context66K
    Full specs Remove Qwen3 Omni 30B A3B Thinking

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 3 points (Nemotron Nano 12B v2 VL 62/100, Qwen3 Omni 30B A3B Thinking 59/100), so choose by what matters most for your work: Nemotron Nano 12B v2 VL on price and Nemotron Nano 12B v2 VL for long inputs. 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 Nano 12B v2 VLNemotron Nano 12B v2 VL $0.30 · Qwen3 Omni 30B A3B Thinking $0.43 per 1M tokens (3:1 blend)
  • Longest contextNemotron Nano 12B v2 VLNemotron Nano 12B v2 VL 128,000 · Qwen3 Omni 30B A3B Thinking 65,536 tokens
  • Widest inputsQwen3 Omni 30B A3B ThinkingNemotron Nano 12B v2 VL: Text, Images, Video · Qwen3 Omni 30B A3B Thinking: 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 Nano 12B v2 VLQwen3 Omni 30B A3B Thinking
Price50%7264
Inputs & features30%7080
Context window20%2412
Overall100%62/10059/100

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 Nano 12B v2 VL vs Qwen3 Omni 30B A3B Thinking specifications side by side
SpecificationNemotron Nano 12B v2 VLNVIDIAQwen3 Omni 30B A3B ThinkingAlibaba (Qwen)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.20 (best)$0.25
Output$0.60 (best)$0.97
Cached input——
Blended (3:1)$0.30 (best)$0.43
Long-context rateSame rateSame rate
Price sourceMedian of 4 providersMedian of 1 providers
Limits
Context window128,000 tokens (best)65,536 tokens
Max output128,000 tokens (best)16,384 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoYes
VideoYesYes
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpenApache-2.0
API model ID——
API providers4 (best)1
ReleasedOct 28, 2025Sep 22, 2025
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 Nano 12B v2 VL$3.20
  • Qwen3 Omni 30B A3B Thinking$4.44
04 — Questions

Which should you choose?

Which is better: Nemotron Nano 12B v2 VL or Qwen3 Omni 30B A3B Thinking?

It is close. Our weighted score puts them within 3 points (Nemotron Nano 12B v2 VL 62/100, Qwen3 Omni 30B A3B Thinking 59/100), so choose by what matters most for your work: Nemotron Nano 12B v2 VL on price and Nemotron Nano 12B v2 VL for long inputs. 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 Nano 12B v2 VL or Qwen3 Omni 30B A3B Thinking?

Nemotron Nano 12B v2 VL is cheaper at $0.20 input / $0.60 output per million tokens (median across 4 API providers). Qwen3 Omni 30B A3B Thinking costs $0.25 input / $0.97 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.30 per million tokens for Nemotron Nano 12B v2 VL versus $0.43 for Qwen3 Omni 30B A3B Thinking (1.4× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Nemotron Nano 12B v2 VL has not been scored yet and Qwen3 Omni 30B A3B Thinking has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Nemotron Nano 12B v2 VL and Qwen3 Omni 30B A3B 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?

Nemotron Nano 12B v2 VL has the largest context window at 128,000 tokens, against 65,536 for Qwen3 Omni 30B A3B Thinking. Maximum output per response: Nemotron Nano 12B v2 VL up to 128,000, Qwen3 Omni 30B A3B Thinking up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Nemotron Nano 12B v2 VL accepts text, images and video; Qwen3 Omni 30B A3B Thinking accepts text, images, audio and video. Qwen3 Omni 30B A3B Thinking handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights (Apache-2.0), so you can self-host them.

Which is newer?

Nemotron Nano 12B v2 VL is the newest, released Oct 28, 2025. Qwen3 Omni 30B A3B Thinking came out Sep 22, 2025.

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.

05 — Keep comparing

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