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GLM-4.5V vs Llama 3.1 Nemotron Nano 8B V1

Comparing GLM-4.5V and Llama 3.1 Nemotron Nano 8B V1 across benchmarks, pricing, and capabilities.

Zhipu AI · NVIDIA · Updated for 2026

Which is better?

GLM-4.5V and Llama 3.1 Nemotron Nano 8B V1 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-4.5V

  • you want the most recent training data — it shipped Aug 2025

Choose Llama 3.1 Nemotron Nano 8B V1

  • you are already invested in the NVIDIA ecosystem

At a glance

The differences that matter most.

GLM-4.5V
Zhipu AI
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
Benchmark wins
—
—
Input price
$0.55 / M
— / M
Output price
$2.19 / M
— / M
Context window
131,072
—

Individual benchmarks

0 reported for GLM-4.5V · 7 for Llama 3.1 Nemotron Nano 8B V1

No common benchmarks found

GLM-4.5V and Llama 3.1 Nemotron Nano 8B V1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

100.0B diff

GLM-4.5V has 100.0B more parameters than Llama 3.1 Nemotron Nano 8B V1, making it 1250.0% larger.

Zhipu AI
GLM-4.5V
108.0Bparameters
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
8.0Bparameters
108.0B
GLM-4.5V
8.0B
Llama 3.1 Nemotron Nano 8B V1

Context Window

Maximum input and output token capacity

Only GLM-4.5V specifies input context (131,072 tokens). Only GLM-4.5V specifies output context (131,072 tokens).

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input- tokens
Output- tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GLM-4.5V supports multimodal inputs, whereas Llama 3.1 Nemotron Nano 8B V1 does not.

GLM-4.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.5V

Text
Images
Audio
Video

Llama 3.1 Nemotron Nano 8B V1

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5V is licensed under MIT, while Llama 3.1 Nemotron Nano 8B V1 uses Llama 3.1 Community License.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-4.5V

MIT

Open weights

Llama 3.1 Nemotron Nano 8B V1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while Llama 3.1 Nemotron Nano 8B V1 was released on 2025-03-18.

GLM-4.5V is 5 months newer than Llama 3.1 Nemotron Nano 8B V1.

GLM-4.5V

Aug 11, 2025

1.1 years ago

4mo newer
Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Nano 8B V1 has a documented knowledge cutoff of 2023-12-31, while GLM-4.5V's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Nano 8B V1's training data extends to 2023-12-31, but cannot make a direct comparison without GLM-4.5V's cutoff date.

GLM-4.5V

—

Llama 3.1 Nemotron Nano 8B V1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-4.5V and Llama 3.1 Nemotron Nano 8B V1 side-by-side, then vote on the output you prefer.

GLM-4.5V
✓ Preferred
Llama 3.1 Nemotron Nano 8B V1
Open in Playground

FAQ

Common questions about GLM-4.5V vs Llama 3.1 Nemotron Nano 8B V1.

Which is better, GLM-4.5V or Llama 3.1 Nemotron Nano 8B V1?

GLM-4.5V (Zhipu AI) and Llama 3.1 Nemotron Nano 8B V1 (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-4.5V compare to Llama 3.1 Nemotron Nano 8B V1 in benchmarks?

Llama 3.1 Nemotron Nano 8B V1 scores MATH-500: 95.4%, MBPP: 84.6%, MT-Bench: 81.0%, IFEval: 79.3%, BFCL v2: 63.6%.

What are the context window sizes for GLM-4.5V and Llama 3.1 Nemotron Nano 8B V1?

GLM-4.5V supports 131K tokens and Llama 3.1 Nemotron Nano 8B V1 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-4.5V and Llama 3.1 Nemotron Nano 8B V1?

Key differences include multimodal support (yes vs no), licensing (MIT vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5V and Llama 3.1 Nemotron Nano 8B V1?

GLM-4.5V is developed by Zhipu AI and Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA.

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