Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs GLM-4.5

GLM-4.5 significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while GLM-4.5 is better at 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500).

GLM-4.5 significantly outperforms across most benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

353.2B diff

GLM-4.5 has 353.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 19843.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Zhipu AI
GLM-4.5
355.0Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
355.0B
GLM-4.5

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).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Fri May 15 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

GLM-4.5

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while GLM-4.5 was released on 2025-07-28.

GLM-4.5 is 6 months newer than DeepSeek R1 Distill Qwen 1.5B.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.3 years ago

GLM-4.5

Jul 28, 2025

9 months ago

6mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek

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

Zhipu AI
Larger context window (131,072 tokens)
Higher AIME 2024 score (91.0% vs 52.7%)
Higher GPQA score (79.1% vs 33.8%)
Higher LiveCodeBench score (72.9% vs 16.9%)
Higher MATH-500 score (98.2% vs 83.9%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Zhipu AI
GLM-4.5

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs GLM-4.5.

Which is better, DeepSeek R1 Distill Qwen 1.5B or GLM-4.5?

GLM-4.5 significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and GLM-4.5 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 1.5B compare to GLM-4.5 in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%.

What are the context window sizes for DeepSeek R1 Distill Qwen 1.5B and GLM-4.5?

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and GLM-4.5 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes DeepSeek R1 Distill Qwen 1.5B and GLM-4.5?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and GLM-4.5 is developed by Zhipu AI.