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.

Sun May 31 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
Sun May 31 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

10 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.