ChatGLM2-6B
ChatGLM2-6B has tracked benchmark evidence for general LLM work with open-source; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 32k 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
- Family
- ChatGLM2
- Released
- 2023-06-25
- Context
- 32k
- Parameters
- 6.2B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0(OSI)Commercial use allowed
- Training
- Pretrained
No tracked provider token pricing is available yet.
About
ChatGLM2-6B is the second-generation 6B open-source bilingual (Chinese-English) chat model from THUDM (Tsinghua University / Zhipu AI). Released June 25, 2023, it improved significantly over the original ChatGLM-6B: extended context to 32K tokens via FlashAttention, trained on 1.4T tokens (up from ~1T), and achieved approximately 23% better MMLU scores. Widely used as a Chinese-language LLM baseline. Succeeded by ChatGLM3-6B in October 2023.
ChatGLM2-6B is an open-source model in the ChatGLM2 family. The structured metadata tracks a 32k-token context window. Headline tracked benchmarks include GAOKAO 42.7.
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.
Benchmark scores(1)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| GAOKAO | 42.7 | zero-shot, objective-accuracy | https://github.com/OpenLMLab/GAOKAO-Bench |
Migration checks
No linked migration route is available for this model yet.
API versions
chatglm2-6b-32kNo tracked provider token pricing is available yet.