Model Comparison

DeepSeek-V2.5 vs GLM-4.5-AirWhich is better in 2026?

GLM-4.5-Air significantly outperforms across most benchmarks.

Verdict: DeepSeek-V2.5 vs GLM-4.5-Air — which is better?

DeepSeek-V2.5 (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.

DeepSeek-V2.5 outperforms in 0 benchmarks, while GLM-4.5-Air is better at 1 benchmark (SWE-Bench Verified). GLM-4.5-Air significantly outperforms across most benchmarks.

Choose DeepSeek-V2.5 if…

  • you want predictable pricing at $0.14/M input and $0.28/M output

Choose GLM-4.5-Air if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V2.5 outperforms in 0 benchmarks, while GLM-4.5-Air is better at 1 benchmark (SWE-Bench Verified).

GLM-4.5-Air significantly outperforms across most benchmarks.

Sun Jun 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

130.0B diff

DeepSeek-V2.5 has 130.0B more parameters than GLM-4.5-Air, making it 122.6% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Zhipu AI
GLM-4.5-Air
106.0Bparameters
236.0B
DeepSeek-V2.5
106.0B
GLM-4.5-Air

Context Window

Maximum input and output token capacity

Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Sun Jun 14 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while GLM-4.5-Air uses MIT.

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

DeepSeek-V2.5

deepseek

Open weights

GLM-4.5-Air

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while GLM-4.5-Air was released on 2025-07-28.

GLM-4.5-Air is 15 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.1 years ago

GLM-4.5-Air

Jul 28, 2025

10 months ago

1.2yr 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 (8,192 tokens)
Zhipu AI
Higher SWE-Bench Verified score (57.6% vs 16.8%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Zhipu AI
GLM-4.5-Air

FAQ

Common questions about DeepSeek-V2.5 vs GLM-4.5-Air.

Which is better, DeepSeek-V2.5 or GLM-4.5-Air?

GLM-4.5-Air significantly outperforms across most benchmarks. DeepSeek-V2.5 is made by DeepSeek and GLM-4.5-Air is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V2.5 compare to GLM-4.5-Air in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. 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-V2.5 and GLM-4.5-Air?

DeepSeek-V2.5 supports 8K 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.

What are the main differences between DeepSeek-V2.5 and GLM-4.5-Air?

Key differences include licensing (deepseek vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V2.5 and GLM-4.5-Air?

DeepSeek-V2.5 is developed by DeepSeek and GLM-4.5-Air is developed by Zhipu AI.

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