GLM-4-Extreme
GLM-4-Extreme is released 2024-06-05 in the GLM-4 family with open-source; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating general LLM work
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
No tracked provider token pricing is available yet.
About
GLM-4-Extreme, while not specifically documented, seems to be a variant under the GLM-4 model family developed by Zhipu AI. The GLM-4 models are noted for their strong performance on various benchmarks, including MMLU and HumanEval, as well as their proficiency in instruction following in multiple languages, primarily English and Chinese. They support a long context length of up to 128k tokens, with some versions even reaching 1M tokens. Additionally, these models feature integrated tool usage for complex tasks and voice capabilities for real-time speech processing. The GLM-4 architecture is based on a multi-stage training process, combining pre-training, supervised fine-tuning, and reinforcement learning with human feedback. However, the existence of the GLM-4-Extreme variant specifically lacks documentation, suggesting it may not be officially detailed or released.
GLM-4-Extreme is an open-source model in the GLM-4 family. No headline benchmark score is tracked for GLM-4-Extreme yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Frequently asked questions
When was GLM-4-Extreme released?
GLM-4-Extreme was released on 2024-06-05.