glm-4.5-flashThe GLM-4.5 series is built for agent-style AI, combining reasoning, coding, and tool use. GLM-4.5 has 355B total parameters (32B active), while GLM-4.5-Air is a lighter 106B/12B version. Both support hybrid modes — a “thinking” mode for complex reasoning and tools, and a fast non-thinking mode for quick replies. The models are open-sourced (including FP8 versions) under the MIT license for commercial use, and they rank highly on benchmarks: GLM-4.5 scores 63.2 (3rd overall), while GLM-4.5-Air achieves 59.8 with better efficiency.
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from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.apertis.ai/v1") response = client.chat.completions.create( model="glm-4.5-flash", messages=[ {"role": "user", "content": "Hello!"} ], max_tokens=1024, temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(# model="glm-4.5-flash",# messages=[{"role": "user", "content": "Hello!"}],# extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )modelmessagesmax_tokenstemperaturetop_pstreamtoolsreasoning_effortstream_optionsthinkingextra_bodyUse these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.
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See how this model compares to others from the same provider.
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No observed failures in the current observation window