ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GLM-4.5-Air vs Mistral Nemotron

Mistral Nemotron comes out ahead, 62 to 49 on our weighted score, and it is the cheaper option too.

  1. Z.ai (Zhipu)

    GLM-4.5-Air

    Released Jul 28, 2025

    49/100
    • ECI—
    • Price$0.20 / $1.10
    • Context131K
    Full specs Remove GLM-4.5-Air
  2. Our pick

    NVIDIA

    Mistral Nemotron

    Released Jun 11, 2025Deprecated

    62/100
    • ECI—
    • PriceFree / Free
    • Context128K
    Full specs Remove Mistral Nemotron

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Mistral Nemotron is our pick

Mistral Nemotron is the better all-round choice, scoring 62/100 against GLM-4.5-Air (49). It leads on price. GLM-4.5-Air wins on inputs & features. 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 priceMistral NemotronMistral Nemotron Free · GLM-4.5-Air $0.425 per 1M tokens (3:1 blend)
  • Longest contextGLM-4.5-AirGLM-4.5-Air 131,072 · Mistral Nemotron 128,000 tokens
  • Widest inputsSame inputsGLM-4.5-Air: Text · Mistral Nemotron: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGLM-4.5-AirMistral Nemotron
Price50%68100
Inputs & features30%3525
Context window20%2424
Overall100%49/10062/100

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.

GLM-4.5-Air vs Mistral Nemotron specifications side by side
SpecificationGLM-4.5-AirZ.ai (Zhipu)Mistral NemotronNVIDIA
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.20Free (best)
Output$1.10Free (best)
Cached input$0.03—
Blended (3:1)$0.425Free (best)
Long-context rateSame rateSame rate
Price sourceOfficial Z.AI APIOfficial Nvidia API
Limits
Context window131,072 tokens (best)128,000 tokens
Max output98,304 tokens (best)8,192 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDglm-4.5-airmistralai/mistral-nemotron
API providers13 (best)1
ReleasedJul 28, 2025Jun 11, 2025
Knowledge cutoffApr 2025—
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.

  • GLM-4.5-Air$4.20
  • Mistral NemotronFree
04 — Questions

Which should you choose?

Which is better: GLM-4.5-Air or Mistral Nemotron?

Mistral Nemotron is the better all-round choice, scoring 62/100 against GLM-4.5-Air (49). It leads on price. GLM-4.5-Air wins on inputs & features. 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, GLM-4.5-Air or Mistral Nemotron?

Mistral Nemotron is cheaper at Free input / Free output per million tokens (official Nvidia API price). GLM-4.5-Air costs $0.20 input / $1.10 output per million tokens (official Z.AI API price). Mistral Nemotron is listed as free.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. GLM-4.5-Air has not been scored yet and Mistral Nemotron has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.5-Air and Mistral Nemotron 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?

GLM-4.5-Air has the largest context window at 131,072 tokens, against 128,000 for Mistral Nemotron. Maximum output per response: GLM-4.5-Air up to 98,304, Mistral Nemotron up to 8,192 tokens.

Which can read images, PDFs, audio or video?

GLM-4.5-Air accepts text; Mistral Nemotron accepts text. 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?

GLM-4.5-Air is the newest, released Jul 28, 2025. Mistral Nemotron came out Jun 11, 2025. Knowledge cutoff: GLM-4.5-Air Apr 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 Oct 4, 2026.

05 — Keep comparing

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