ChatGLM3 6B
ChatGLM3 6B is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 8k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- ChatGLM3
- Released
- 2024-01-30
- Context
- 8k
- Parameters
- 6B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Cheapest of 1 route · NVIDIA NIM
About
ChatGLM3-6B is an open-source large language model created by Zhipu AI and Tsinghua University, designed for a variety of natural language processing tasks. Operating with a transformer-based architecture and fewer than 10 billion parameters, it excels in multi-turn dialogue, function invocation, long-form text understanding, and supports both Chinese and English. Additionally, its open-source nature fosters innovation and collaboration in the AI community, while its robust performance surpasses many models on tasks like semantics and coding.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| NVIDIA NIM | - | - | ProvisionedPartial |
Available via routers & gateways(1)
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.
Cheapest of 1 route · NVIDIA NIM