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Comparison · 2 models · Updated Oct 4, 2026

Llama 3.1 Nemotron 70B Instruct vs GLM-4.5V

GLM-4.5V comes out ahead, 49 to 45 on our weighted score, though Llama 3.1 Nemotron 70B Instruct is 46% cheaper per token.

  1. NVIDIA

    Llama 3.1 Nemotron 70B Instruct

    Released Apr 15, 2025

    45/100
    • ECI—
    • Price$0.478 / $0.504
    • Context128K
    Full specs Remove Llama 3.1 Nemotron 70B Instruct
  2. Our pick

    Z.ai (Zhipu)

    GLM-4.5V

    Released Aug 11, 2025

    49/100
    • ECI—
    • Price$0.60 / $1.80
    • Context64K
    Full specs Remove GLM-4.5V

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GLM-4.5V is our pick

GLM-4.5V is the better all-round choice, scoring 49/100 against Llama 3.1 Nemotron 70B Instruct (45). It leads on inputs & features. Llama 3.1 Nemotron 70B Instruct wins on price 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 priceLlama 3.1 Nemotron 70B InstructLlama 3.1 Nemotron 70B Instruct $0.485 · GLM-4.5V $0.90 per 1M tokens (3:1 blend)
  • Longest contextLlama 3.1 Nemotron 70B InstructLlama 3.1 Nemotron 70B Instruct 128,000 · GLM-4.5V 64,000 tokens
  • Widest inputsGLM-4.5VLlama 3.1 Nemotron 70B Instruct: Text · GLM-4.5V: Text, Images, Video
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama 3.1 Nemotron 70B InstructGLM-4.5V
Price50%6552
Inputs & features30%2570
Context window20%2412
Overall100%45/10049/100

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.

Llama 3.1 Nemotron 70B Instruct vs GLM-4.5V specifications side by side
SpecificationLlama 3.1 Nemotron 70B InstructNVIDIAGLM-4.5VZ.ai (Zhipu)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.478 (best)$0.60
Output$0.504 (best)$1.80
Cached input——
Blended (3:1)$0.485 (best)$0.90
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Z.AI API
Limits
Context window128,000 tokens (best)64,000 tokens
Max output8,192 tokens16,384 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoYes
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDnvidia/llama-3.1-nemotron-70b-instructglm-4.5v
API providers311 (best)
ReleasedApr 15, 2025Aug 11, 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 3.1 Nemotron 70B Instruct$5.79
  • GLM-4.5V$9.60
04 — Questions

Which should you choose?

Which is better: Llama 3.1 Nemotron 70B Instruct or GLM-4.5V?

GLM-4.5V is the better all-round choice, scoring 49/100 against Llama 3.1 Nemotron 70B Instruct (45). It leads on inputs & features. Llama 3.1 Nemotron 70B Instruct wins on price 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, Llama 3.1 Nemotron 70B Instruct or GLM-4.5V?

Llama 3.1 Nemotron 70B Instruct is cheaper at $0.478 input / $0.504 output per million tokens (median across 2 API providers; free on Nvidia). GLM-4.5V costs $0.60 input / $1.80 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.485 per million tokens for Llama 3.1 Nemotron 70B Instruct versus $0.90 for GLM-4.5V (1.9× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Llama 3.1 Nemotron 70B Instruct has not been scored yet and GLM-4.5V has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Llama 3.1 Nemotron 70B Instruct and GLM-4.5V 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 3.1 Nemotron 70B Instruct has the largest context window at 128,000 tokens, against 64,000 for GLM-4.5V. Maximum output per response: Llama 3.1 Nemotron 70B Instruct up to 8,192, GLM-4.5V up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Llama 3.1 Nemotron 70B Instruct accepts text; GLM-4.5V accepts text, images and video. GLM-4.5V handles the widest range of inputs.

Are any of these open source?

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

Which is newer?

GLM-4.5V is the newest, released Aug 11, 2025. Llama 3.1 Nemotron 70B Instruct came out Apr 15, 2025. Knowledge cutoff: GLM-4.5V 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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