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Comparison · 2 models · Updated Oct 4, 2026

Nemotron 3 Nano Omni 30B A3B Reasoning vs GLM-5V-Turbo

Nemotron 3 Nano Omni 30B A3B Reasoning comes out ahead, 69 to 49 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
    Full specs Remove Nemotron 3 Nano Omni 30B A3B Reasoning

  2. Z.ai (Zhipu)

    GLM-5V-Turbo

    Released Apr 1, 2026

    49/100
    • ECI—
    • Price$1.20 / $4.00
    • Context200K
    Full specs Remove GLM-5V-Turbo

  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 GLM-5V-Turbo (49). 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 · GLM-5V-Turbo $1.90 per 1M tokens (3:1 blend)
  • Longest contextNemotron 3 Nano Omni 30B A3B ReasoningNemotron 3 Nano Omni 30B A3B Reasoning 256,000 · GLM-5V-Turbo 200,000 tokens
  • Widest inputsSame inputsNemotron 3 Nano Omni 30B A3B Reasoning: Text, Images, Audio, Video · GLM-5V-Turbo: Text, Images, PDFs, Video
  • Self-hostingNemotron 3 Nano Omni 30B A3B ReasoningPublishes downloadable weights
How the score is built
MeasureWeightNemotron 3 Nano Omni 30B A3B ReasoningGLM-5V-Turbo
Price50%6937
Inputs & features30%9080
Context window20%3632
Overall100%69/10049/100

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 GLM-5V-Turbo specifications side by side
SpecificationNemotron 3 Nano Omni 30B A3B ReasoningNVIDIAGLM-5V-TurboZ.ai (Zhipu)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.25 (best)$1.20
Output$0.85 (best)$4.00
Cached input—$0.24
Blended (3:1)$0.40 (best)$1.90
Long-context rateSame rateSame rate
Price sourceMedian of 4 providersOfficial Z.AI API
Limits
Context window256,000 tokens (best)200,000 tokens
Max output65,536 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioYesNo
VideoYesYes
ReasoningYesYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenProprietary
API model IDnvidia/nemotron-3-nano-omni-30b-a3b-reasoningglm-5v-turbo
API providers814 (best)
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
  • GLM-5V-Turbo$20.00
04 — Questions

Which should you choose?

Which is better: Nemotron 3 Nano Omni 30B A3B Reasoning or GLM-5V-Turbo?

Nemotron 3 Nano Omni 30B A3B Reasoning is the better all-round choice, scoring 69/100 against GLM-5V-Turbo (49). 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, Nemotron 3 Nano Omni 30B A3B Reasoning or GLM-5V-Turbo?

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). GLM-5V-Turbo costs $1.20 input / $4.00 output per million tokens (official Z.AI 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 $1.90 for GLM-5V-Turbo (4.7× 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 GLM-5V-Turbo 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 GLM-5V-Turbo 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 3 Nano Omni 30B A3B Reasoning has the largest context window at 256,000 tokens, against 200,000 for GLM-5V-Turbo. Maximum output per response: Nemotron 3 Nano Omni 30B A3B Reasoning up to 65,536, GLM-5V-Turbo up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Nemotron 3 Nano Omni 30B A3B Reasoning accepts text, images, audio and video; GLM-5V-Turbo accepts text, images, PDFs and video. They handle the same number of input types.

Are any of these open source?

Nemotron 3 Nano Omni 30B A3B Reasoning publishes its weights and can be self-hosted; GLM-5V-Turbo is proprietary.

Which is newer?

Nemotron 3 Nano Omni 30B A3B Reasoning is the newest, released Apr 28, 2026. GLM-5V-Turbo 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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