Model Comparison

GLM-4.5 vs Llama 3.1 Nemotron Ultra 253B v1

GLM-4.5 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-4.5 outperforms in 3 benchmarks (GPQA, LiveCodeBench, MATH-500), while Llama 3.1 Nemotron Ultra 253B v1 is better at 0 benchmarks.

GLM-4.5 significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

102.0B diff

GLM-4.5 has 102.0B more parameters than Llama 3.1 Nemotron Ultra 253B v1, making it 40.3% larger.

Zhipu AI
GLM-4.5
355.0Bparameters
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
253.0Bparameters
355.0B
GLM-4.5
253.0B
Llama 3.1 Nemotron Ultra 253B v1

Context Window

Maximum input and output token capacity

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

Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Tue May 12 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.5 is licensed under MIT, while Llama 3.1 Nemotron Ultra 253B v1 uses Llama 3.1 Community License.

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

GLM-4.5

MIT

Open weights

Llama 3.1 Nemotron Ultra 253B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GLM-4.5 was released on 2025-07-28, while Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07.

GLM-4.5 is 4 months newer than Llama 3.1 Nemotron Ultra 253B v1.

GLM-4.5

Jul 28, 2025

9 months ago

3mo newer
Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Ultra 253B v1 has a documented knowledge cutoff of 2023-12-01, while GLM-4.5's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Ultra 253B v1's training data extends to 2023-12-01, but cannot make a direct comparison without GLM-4.5's cutoff date.

GLM-4.5

—

Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

Outputs Comparison

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Key Takeaways

Zhipu AI
Larger context window (131,072 tokens)
Higher GPQA score (79.1% vs 76.0%)
Higher LiveCodeBench score (72.9% vs 66.3%)
Higher MATH-500 score (98.2% vs 97.0%)
NVIDIA

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.5
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1

FAQ

Common questions about GLM-4.5 vs Llama 3.1 Nemotron Ultra 253B v1.

Which is better, GLM-4.5 or Llama 3.1 Nemotron Ultra 253B v1?

GLM-4.5 significantly outperforms across most benchmarks. GLM-4.5 is made by Zhipu AI and Llama 3.1 Nemotron Ultra 253B v1 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-4.5 compare to Llama 3.1 Nemotron Ultra 253B v1 in benchmarks?

GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%. Llama 3.1 Nemotron Ultra 253B v1 scores MATH-500: 97.0%, IFEval: 89.5%, GPQA: 76.0%, BFCL v2: 74.1%, AIME 2025: 72.5%.

What are the context window sizes for GLM-4.5 and Llama 3.1 Nemotron Ultra 253B v1?

GLM-4.5 supports 131K tokens and Llama 3.1 Nemotron Ultra 253B 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-4.5 and Llama 3.1 Nemotron Ultra 253B v1?

Key differences include licensing (MIT vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5 and Llama 3.1 Nemotron Ultra 253B v1?

GLM-4.5 is developed by Zhipu AI and Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA.