ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GLM-4.5-Air vs Llama 3.1 Nemotron Ultra 253B vs Llama 3.3 Nemotron Super 49B v1.5

Llama 3.1 Nemotron Ultra 253B comes out ahead, 65 to 50 and 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

    Llama 3.1 Nemotron Ultra 253B

    Released Apr 7, 2025

    65/100
    • ECI—
    • PriceFree / Free
    • Context128K
    Full specs Remove Llama 3.1 Nemotron Ultra 253B

  3. NVIDIA

    Llama 3.3 Nemotron Super 49B v1.5

    Released Jul 25, 2025Deprecated

    50/100
    • ECI—
    • Price$0.40 / $0.40
    • Context131K
    Full specs Remove Llama 3.3 Nemotron Super 49B v1.5
01 — Verdict

Llama 3.1 Nemotron Ultra 253B is our pick

Llama 3.1 Nemotron Ultra 253B is the better all-round choice, scoring 65/100 against Llama 3.3 Nemotron Super 49B v1.5 (50) and GLM-4.5-Air (49). 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 priceLlama 3.1 Nemotron Ultra 253BLlama 3.1 Nemotron Ultra 253B Free · Llama 3.3 Nemotron Super 49B v1.5 $0.40 · GLM-4.5-Air $0.425 per 1M tokens (3:1 blend)
  • Longest contextGLM-4.5-Air and Llama 3.3 Nemotron Super 49B v1.5GLM-4.5-Air 131,072 · Llama 3.3 Nemotron Super 49B v1.5 131,072 · Llama 3.1 Nemotron Ultra 253B 128,000 tokens
  • Widest inputsSame inputsGLM-4.5-Air: Text · Llama 3.1 Nemotron Ultra 253B: Text · Llama 3.3 Nemotron Super 49B v1.5: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGLM-4.5-AirLlama 3.1 Nemotron Ultra 253BLlama 3.3 Nemotron Super 49B v1.5
Price50%6810069
Inputs & features30%353535
Context window20%242424
Overall100%49/10065/10050/100

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 Llama 3.1 Nemotron Ultra 253B vs Llama 3.3 Nemotron Super 49B v1.5 specifications side by side
SpecificationGLM-4.5-AirZ.ai (Zhipu)Llama 3.1 Nemotron Ultra 253BNVIDIALlama 3.3 Nemotron Super 49B v1.5NVIDIA
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.20Free (best)$0.40
Output$1.10Free (best)$0.40
Cached input$0.03——
Blended (3:1)$0.425Free (best)$0.40
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Z.AI APIOfficial Nvidia APIMedian of 1 providers
Limits
Context window131,072 tokens (best)128,000 tokens131,072 tokens (best)
Max output98,304 tokens8,192 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesNoNoNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenOpenOpen
API model IDglm-4.5-airnvidia/llama-3.1-nemotron-ultra-253b-v1nvidia/llama-3.3-nemotron-super-49b-v1.5
API providers13 (best)12
ReleasedJul 28, 2025Apr 7, 2025Jul 25, 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
  • Llama 3.1 Nemotron Ultra 253BFree
  • Llama 3.3 Nemotron Super 49B v1.5$4.80
04 — Questions

Which should you choose?

Which is better: GLM-4.5-Air, Llama 3.1 Nemotron Ultra 253B or Llama 3.3 Nemotron Super 49B v1.5?

Llama 3.1 Nemotron Ultra 253B is the better all-round choice, scoring 65/100 against Llama 3.3 Nemotron Super 49B v1.5 (50) and GLM-4.5-Air (49). 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, GLM-4.5-Air, Llama 3.1 Nemotron Ultra 253B or Llama 3.3 Nemotron Super 49B v1.5?

Llama 3.1 Nemotron Ultra 253B is cheaper at Free input / Free output per million tokens (official Nvidia API price). Llama 3.3 Nemotron Super 49B v1.5 costs $0.40 input / $0.40 output per million tokens (median across 1 API provider; free on Nvidia); GLM-4.5-Air costs $0.20 input / $1.10 output per million tokens (official Z.AI API price). Llama 3.1 Nemotron Ultra 253B is listed as free.

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. GLM-4.5-Air has not been scored yet, Llama 3.1 Nemotron Ultra 253B has not been scored yet and Llama 3.3 Nemotron Super 49B v1.5 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.5-Air, Llama 3.1 Nemotron Ultra 253B and Llama 3.3 Nemotron Super 49B v1.5 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

GLM-4.5-Air and Llama 3.3 Nemotron Super 49B v1.5 have the largest context windows (131,072 and 131,072 tokens), against 128,000 for Llama 3.1 Nemotron Ultra 253B. Maximum output per response: GLM-4.5-Air up to 98,304, Llama 3.1 Nemotron Ultra 253B up to 8,192, Llama 3.3 Nemotron Super 49B v1.5 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GLM-4.5-Air accepts text; Llama 3.1 Nemotron Ultra 253B accepts text; Llama 3.3 Nemotron Super 49B v1.5 accepts text. They handle the same number of input types.

Are any of these open source?

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

Which is newer?

GLM-4.5-Air is the newest, released Jul 28, 2025. Llama 3.3 Nemotron Super 49B v1.5 came out Jul 25, 2025; Llama 3.1 Nemotron Ultra 253B came out Apr 7, 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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