Home/Compare/ChatGLM-6B vs ChatGLM2-6B

Comparison

ChatGLM-6B vs ChatGLM2-6B

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.

Markdown twin · ChatGLM-6B alternatives · ChatGLM2-6B alternatives

GraphCanon updated 2w

ChatGLM-6B logo

ChatGLM-6B

zai-org/ChatGLM-6B

41kpushed Jun 27, 2024
vs
ChatGLM2-6B logo

ChatGLM2-6B

zai-org/ChatGLM2-6B

16kpushed Jun 27, 2024

Trust & integrity

SignalChatGLM-6BChatGLM2-6B
Maintenance
Dormant (765d since push)
As of 2w · github_public_v1
Dormant (765d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
Published findings
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

ChatGLM-6B
An Open Bilingual Dialogue Language Model
ChatGLM2-6B
An Open Bilingual Chat LLM

Stars

ChatGLM-6B
41k
ChatGLM2-6B
16k

Forks

ChatGLM-6B
5.1k
ChatGLM2-6B
1.8k

Open issues

ChatGLM-6B
607
ChatGLM2-6B
450

Language

ChatGLM-6B
Python
ChatGLM2-6B
Python

Adopt for

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

Persona

ChatGLM-6B
-
ChatGLM2-6B
-

Runtime

ChatGLM-6B
-
ChatGLM2-6B
-

License

ChatGLM-6B
Apache-2.0
ChatGLM2-6B
Other

Last pushed

ChatGLM-6B
Jun 27, 2024
ChatGLM2-6B
Jun 27, 2024

Categories

ChatGLM-6B
LLM Frameworks
ChatGLM2-6B
LLM Frameworks

Trust and health

Open issues (now)

ChatGLM-6B
607
ChatGLM2-6B
450

Full report

ChatGLM-6B
Trust report
ChatGLM2-6B
Trust report

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.

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.

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: ChatGLM-6B 41k · ChatGLM2-6B 16k (synced Aug 1, 2026).

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 and ChatGLM2-6B alternatives (ChatGLM-6B markdown twin, ChatGLM2-6B markdown twin), 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 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; ChatGLM2-6B trust report.

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