media DeepLearning.AI (The Batch) · 368d ago

Zhipu AI releases GLM-4.5 models matching Claude and DeepSeek

from English

Zhipu AI has released the GLM-4.5 family of open-weights large language models, designed to excel at tool use and coding while offering switchable reasoning capabilities.

The GLM-4.5 model contains 355 billion total parameters with 32 billion active, while the smaller GLM-4.5-Air has 106 billion total and 12 billion active parameters.
Both models outperform Anthropic Claude 4 Opus, DeepSeek-R1-0528, Google Gemini 2.5 Pro, Grok 4, Kimi K2, and OpenAI o3 on at least one reasoning, coding, or agentic benchmark.
GLM-4.5 achieved 90.6 percent accuracy in tool-use benchmarks, surpassing Claude Sonnet 4 and Kimi K2, and matched Claude 4 Opus on MATH 500 with 98.2 percent accuracy.
Weights are available via HuggingFace and ModelScope under an MIT license for commercial and noncommercial use.

Zhipu AI's approach distills three specialized variations of the base model into a single architecture, establishing momentum in open-weights models tuned for agentic behavior.

Importance 2/3 DeepLearning.AI (The Batch) Zhipu AI Code generation Open weights

Benchmarks

Benchmark	Model	Score
AIME 2024	GLM-4.5	91%
Berkeley Function-Calling Leaderboard	GLM-4.5	90.6%
τ²-bench	GLM-4.5	90.6%
AIME 2024	GLM-4.5-Air	89.4%
Berkeley Function-Calling Leaderboard	GLM-4.5-Air	76.4%
SWE-bench Verified	GLM-4.5	64.2%
BrowseComp	GLM-4.5	26.4%
MATH-500	GLM-4.5	98.2%

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