Model Comparison

DeepSeek-R1 vs GLM-4.5-AirWhich is better in 2026?

Comparing DeepSeek-R1 and GLM-4.5-Air across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-R1 vs GLM-4.5-Air — which is better?

DeepSeek-R1 (by DeepSeek) and GLM-4.5-Air (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek-R1 if…

  • you want predictable pricing at $0.55/M input and $2.19/M output

Choose GLM-4.5-Air if…

  • you want the most recent training data — it shipped Jul 2025
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and GLM-4.5-Airdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

565.0B diff

DeepSeek-R1 has 565.0B more parameters than GLM-4.5-Air, making it 533.0% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
Zhipu AI
GLM-4.5-Air
106.0Bparameters
671.0B
DeepSeek-R1
106.0B
GLM-4.5-Air

Context Window

Maximum input and output token capacity

Only DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Thu Jun 11 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

MIT

Open weights

GLM-4.5-Air

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while GLM-4.5-Air was released on 2025-07-28.

GLM-4.5-Air is 6 months newer than DeepSeek-R1.

DeepSeek-R1

Jan 20, 2025

1.4 years ago

GLM-4.5-Air

Jul 28, 2025

10 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
Larger context window (131,072 tokens)
Zhipu AI

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
Zhipu AI
GLM-4.5-Air

FAQ

Common questions about DeepSeek-R1 vs GLM-4.5-Air.

Which is better, DeepSeek-R1 or GLM-4.5-Air?

DeepSeek-R1 (DeepSeek) and GLM-4.5-Air (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-R1 compare to GLM-4.5-Air in benchmarks?

GLM-4.5-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%.

What are the context window sizes for DeepSeek-R1 and GLM-4.5-Air?

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

Who makes DeepSeek-R1 and GLM-4.5-Air?

DeepSeek-R1 is developed by DeepSeek and GLM-4.5-Air is developed by Zhipu AI.

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