Rodzina modeli Other

📖 Check out the GLM-4.6 technical blog, technical report(GLM-4.5), and Zhipu AI technical documentation.

Kontekst

203K

Wejście

0,50 USD

Wyjście

2 USD

This model is part of the GLM-V family of models, introduced in the paper GLM-4.1V-Thinking and GLM-4.5V: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

Kontekst

131K

Wejście

0,30 USD

Wyjście

0,90 USD

You can also see significant improvements in many other scenarios such as chat, creative writing, and role-play scenario.

Kontekst

203K

Wejście

0,40 USD

Wyjście

1,75 USD

GLM-4.7-Flash is a 30B-A3B MoE model. As the strongest model in the 30B class, GLM-4.7-Flash offers a new option for lightweight deployment that balances performance and efficiency.

Kontekst

203K

Wejście

0,06 USD

Wyjście

0,40 USD

We are launching GLM-5, targeting complex systems engineering and long-horizon agentic tasks. Scaling is still one of the most important ways to improve the intelligence efficiency of Artificial General Intelligence (AGI). Compared to GLM-4.5, GLM-5 scales from 355B parameters (32B active) to 744B parameters (40B active), and increases pre-training data from 23T to 28.5T tokens. GLM-5 also integrates DeepSeek Sparse Attention (DSA), largely reducing deployment cost while preserving long-context capacity.

Kontekst

198K

Wejście

0,60 USD

Wyjście

1,92 USD

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows…

Kontekst

203K

Wejście

1,2 USD

Wyjście

4 USD

GLM-5.1 is our next-generation flagship model for agentic engineering, with significantly stronger coding capabilities than its predecessor. It achieves state-of-the-art performance on SWE-Bench Pro and leads GLM-5 by a wide margin on NL2Repo (repo generation) and Terminal-Bench 2.0 (real-world terminal tasks).

Kontekst

200K

Wejście

0,966 USD

Wyjście

3,04 USD

We're introducing GLM-5.2, our latest flagship model for long-horizon tasks. It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on a **solid 1M-token context**. GLM-5.2's new capabilities include:

Kontekst

1,05M

Wejście

0,50 USD

Wyjście

3,15 USD

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,…

Kontekst

203K

Wejście

1,2 USD

Wyjście

4 USD