---
title: "ChatGLM-6B vs ChatGLM2-6B"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/zai-org-chatglm-6b-vs-zai-org-chatglm2-6b"
tools: ["zai-org-chatglm-6b", "zai-org-chatglm2-6b"]
---

# ChatGLM-6B vs ChatGLM2-6B

*GraphCanon updated Aug 1, 2026*

## Verdict

Pick ChatGLM-6B if open bilingual dialogue model with 6.2 billion parameters, optimized for Chinese and English conversations; pick ChatGLM2-6B if open bilingual dialogue model with enhanced performance, longer context length up to 32K tokens, and efficient inference.

[ChatGLM-6B](https://github.com/zai-org/ChatGLM-6B) reports 41k GitHub stars, 5.1k forks, and 607 open issues, last pushed Jun 27, 2024. [ChatGLM2-6B](https://github.com/zai-org/ChatGLM2-6B) has 16k stars, 1.8k forks, and 450 open issues, last pushed Jun 27, 2024. Figures are from public GitHub metadata via [ChatGLM-6B's repository](https://github.com/zai-org/ChatGLM-6B) and [ChatGLM2-6B's repository](https://github.com/zai-org/ChatGLM2-6B).

| | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | [ChatGLM2-6B](/tools/zai-org-chatglm2-6b.md) |
| --- | --- | --- |
| Tagline | An Open Bilingual Dialogue Language Model | An Open Bilingual Chat LLM |
| Stars | 41,012 | 15,540 |
| Forks | 5,126 | 1,794 |
| Open issues | 607 | 450 |
| Language | Python | Python |
| Adopt for | Open bilingual dialogue model with 6.2 billion parameters, optimized for Chinese and English conversations. | Open bilingual dialogue model with enhanced performance, longer context length up to 32K tokens, and efficient inference. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Other |
| Categories | LLM Frameworks | LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | [ChatGLM2-6B](/tools/zai-org-chatglm2-6b.md) |
| --- | --- | --- |
| Open issues (now) | 607 | 450 |
| Full report | [trust report](/tools/zai-org-chatglm-6b/trust.md) | [trust report](/tools/zai-org-chatglm2-6b/trust.md) |

## Decision facts: ChatGLM-6B

- **Adopt for:** Open bilingual dialogue model with 6.2 billion parameters, optimized for Chinese and English conversations.

## Decision facts: ChatGLM2-6B

- **Adopt for:** Open bilingual dialogue model with enhanced performance, longer context length up to 32K tokens, and efficient inference.

## Choose when

### Choose ChatGLM-6B if…

- License: ChatGLM-6B is Apache-2.0, ChatGLM2-6B is Other.
- Tags unique to ChatGLM-6B: api-platform, bilingual, dialogue-system, language-model.
- When you need a powerful model for both Chinese and English dialogues.

### Choose ChatGLM2-6B if…

- License: ChatGLM2-6B is Other, ChatGLM-6B is Apache-2.0.
- Tags unique to ChatGLM2-6B: chatglm, chatglm-6b, large language models, llm.
- For applications needing bilingual support with improved accuracy in MMLU, CEval, GSM8K, BBH datasets.

## When NOT to use ChatGLM-6B

- If your application requires more specialized features not present in ChatGLM-6B, consider newer or larger models.
- Avoid if you need guaranteed output accuracy due to probabilistic elements.

## When NOT to use ChatGLM2-6B

- Avoid if the use case does not benefit from bilingual capabilities.
- Not suitable for applications that need more than free tier commercial usage without registration through provided survey.

## Common questions

### What is the difference between ChatGLM-6B and ChatGLM2-6B?

ChatGLM-6B: An Open Bilingual Dialogue Language Model. ChatGLM2-6B: An Open Bilingual Chat LLM. See the comparison table for live GitHub stats and shared categories.

### When should I choose ChatGLM-6B over ChatGLM2-6B?

Choose ChatGLM-6B over ChatGLM2-6B when License: ChatGLM-6B is Apache-2.0, ChatGLM2-6B is Other; Tags unique to ChatGLM-6B: api-platform, bilingual, dialogue-system, language-model; When you need a powerful model for both Chinese and English dialogues.

### When should I choose ChatGLM2-6B over ChatGLM-6B?

Choose ChatGLM2-6B over ChatGLM-6B when License: ChatGLM2-6B is Other, ChatGLM-6B is Apache-2.0; Tags unique to ChatGLM2-6B: chatglm, chatglm-6b, large language models, llm; For applications needing bilingual support with improved accuracy in MMLU, CEval, GSM8K, BBH datasets.

### When should I avoid ChatGLM-6B?

If your application requires more specialized features not present in ChatGLM-6B, consider newer or larger models. Avoid if you need guaranteed output accuracy due to probabilistic elements.

### When should I avoid ChatGLM2-6B?

Avoid if the use case does not benefit from bilingual capabilities. Not suitable for applications that need more than free tier commercial usage without registration through provided survey.

### Is ChatGLM-6B or ChatGLM2-6B more popular on GitHub?

ChatGLM-6B has more GitHub stars (41,012 vs 15,540). Stars measure visibility, not whether either tool fits your constraints.

### Are ChatGLM-6B and ChatGLM2-6B open source?

Yes - both are open-source projects on GitHub (ChatGLM-6B: Apache-2.0, ChatGLM2-6B: Other).

### Where can I find alternatives to ChatGLM-6B or ChatGLM2-6B?

GraphCanon lists graph-backed alternatives at [ChatGLM-6B alternatives](/tools/zai-org-chatglm-6b/alternatives) and [ChatGLM2-6B alternatives](/tools/zai-org-chatglm2-6b/alternatives) ([ChatGLM-6B markdown twin](/tools/zai-org-chatglm-6b/alternatives.md), [ChatGLM2-6B markdown twin](/tools/zai-org-chatglm2-6b/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/zai-org-chatglm-6b-vs-zai-org-chatglm2-6b.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, ChatGLM-6B or ChatGLM2-6B?

ChatGLM-6B: Dormant. ChatGLM2-6B: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for ChatGLM-6B and ChatGLM2-6B?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatGLM-6B trust report](/tools/zai-org-chatglm-6b/trust); [ChatGLM2-6B trust report](/tools/zai-org-chatglm2-6b/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=zai-org-chatglm-6b`](/api/graphcanon/graph?tool=zai-org-chatglm-6b)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
