ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Llama 3.3 Nemotron Super 49B v1 vs GLM-4.5-Flash

GLM-4.5-Flash comes out ahead, 65 to 60 on our weighted score, and it is the cheaper option too.

  1. NVIDIA

    Llama 3.3 Nemotron Super 49B v1

    Released Apr 7, 2025Deprecated

    60/100
    • ECI—
    • Price$0.15 / $0.15
    • Context131K
    Full specs Remove Llama 3.3 Nemotron Super 49B v1
  2. Our pick

    Z.ai (Zhipu)

    GLM-4.5-Flash

    Released Jul 28, 2025

    65/100
    • ECI—
    • PriceFree / Free
    • Context131K
    Full specs Remove GLM-4.5-Flash

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GLM-4.5-Flash is our pick

GLM-4.5-Flash is the better all-round choice, scoring 65/100 against Llama 3.3 Nemotron Super 49B v1 (60). 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 priceGLM-4.5-FlashGLM-4.5-Flash Free · Llama 3.3 Nemotron Super 49B v1 $0.15 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameLlama 3.3 Nemotron Super 49B v1 131,072 · GLM-4.5-Flash 131,072 tokens
  • Widest inputsSame inputsLlama 3.3 Nemotron Super 49B v1: Text · GLM-4.5-Flash: Text
  • Self-hostingLlama 3.3 Nemotron Super 49B v1Publishes downloadable weights
How the score is built
MeasureWeightLlama 3.3 Nemotron Super 49B v1GLM-4.5-Flash
Price50%89100
Inputs & features30%3535
Context window20%2424
Overall100%60/10065/100

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.

Llama 3.3 Nemotron Super 49B v1 vs GLM-4.5-Flash specifications side by side
SpecificationLlama 3.3 Nemotron Super 49B v1NVIDIAGLM-4.5-FlashZ.ai (Zhipu)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.15Free (best)
Output$0.15Free (best)
Cached input——
Blended (3:1)$0.15Free (best)
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Z.AI API
Limits
Context window131,072 tokens131,072 tokens
Max output131,072 tokens (best)98,304 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model IDnvidia/llama-3.3-nemotron-super-49b-v1glm-4.5-flash
API providers24 (best)
ReleasedApr 7, 2025Jul 28, 2025
Knowledge cutoff—Apr 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.

  • Llama 3.3 Nemotron Super 49B v1$1.80
  • GLM-4.5-FlashFree
04 — Questions

Which should you choose?

Which is better: Llama 3.3 Nemotron Super 49B v1 or GLM-4.5-Flash?

GLM-4.5-Flash is the better all-round choice, scoring 65/100 against Llama 3.3 Nemotron Super 49B v1 (60). 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, Llama 3.3 Nemotron Super 49B v1 or GLM-4.5-Flash?

GLM-4.5-Flash is cheaper at Free input / Free output per million tokens (official Z.AI API price). Llama 3.3 Nemotron Super 49B v1 costs $0.15 input / $0.15 output per million tokens (median across 1 API provider; free on Nvidia). GLM-4.5-Flash is listed as free.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Llama 3.3 Nemotron Super 49B v1 has not been scored yet and GLM-4.5-Flash has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Llama 3.3 Nemotron Super 49B v1 and GLM-4.5-Flash 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?

Llama 3.3 Nemotron Super 49B v1 and GLM-4.5-Flash share the same 131,072-token context window. Maximum output per response: Llama 3.3 Nemotron Super 49B v1 up to 131,072, GLM-4.5-Flash up to 98,304 tokens.

Which can read images, PDFs, audio or video?

Llama 3.3 Nemotron Super 49B v1 accepts text; GLM-4.5-Flash accepts text. They handle the same number of input types.

Are any of these open source?

Llama 3.3 Nemotron Super 49B v1 publishes its weights and can be self-hosted; GLM-4.5-Flash is proprietary.

Which is newer?

GLM-4.5-Flash is the newest, released Jul 28, 2025. Llama 3.3 Nemotron Super 49B v1 came out Apr 7, 2025. Knowledge cutoff: GLM-4.5-Flash 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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