GLM-4-Flash
GLM-4-Flash is a released long context model with open-source and 128k context; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating long context
- Workloads that can use a 128k context window
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-Flash, developed by Zhipu AI, is a large language model optimized for efficient and cost-effective vertical tasks. It features a high inference speed of 72.14 tokens per second, thanks to enhancements like adaptive weight quantization, parallel processing, batching strategies, and speculative sampling. Pre-trained on 10 terabytes of quality multilingual data from 26 languages, it supports multi-turn dialogue, web browsing, function execution, and long-text reasoning within a 128K context length. Users can fine-tune the model for specific applications, and access is freely available via its API interface 456.
GLM-4-Flash is an open-source model in the GLM-4 family. The structured metadata tracks a 128k-token context window. No headline benchmark score is tracked for GLM-4-Flash yet.
Top use-case fit
Long context
Included by capability and metadata signals in the decision map.
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 Long context
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
What is the context window of GLM-4-Flash?
GLM-4-Flash has a context window of 128k tokens.
When was GLM-4-Flash released?
GLM-4-Flash was released on 2024-06-05.