Comparison
ChatGLM2-6B vs GLM-130B
Verdict
Pick ChatGLM2-6B if open bilingual dialogue model with enhanced performance, longer context length up to 32K tokens, and efficient inference; pick GLM-130B if gLM-130B specializes in bilingual capabilities and is open source under the Apache-2.0 license.
Markdown twin · ChatGLM2-6B alternatives · GLM-130B alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | ChatGLM2-6B | GLM-130B |
|---|---|---|
| Maintenance | Dormant (765d since push) As of 2w · github_public_v1 | Dormant (1103d 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 | No published findings from this source as of 2026-07-11 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
- ChatGLM2-6B
- An Open Bilingual Chat LLM
- GLM-130B
- GLM-130B: An Open Bilingual Pre-Trained Model
Stars
- ChatGLM2-6B
- 16k
- GLM-130B
- 7.7k
Forks
- ChatGLM2-6B
- 1.8k
- GLM-130B
- 600
Open issues
- ChatGLM2-6B
- 450
- GLM-130B
- 124
Language
- ChatGLM2-6B
- Python
- GLM-130B
- Python
Adopt for
- ChatGLM2-6B
- Open bilingual dialogue model with enhanced performance, longer context length up to 32K tokens, and efficient inference.
- GLM-130B
- GLM-130B specializes in bilingual capabilities and is open source under the Apache-2.0 license.
Persona
- ChatGLM2-6B
- -
- GLM-130B
- -
Runtime
- ChatGLM2-6B
- -
- GLM-130B
- -
License
- ChatGLM2-6B
- Other
- GLM-130B
- The GLM-130B codebase and framework are available under the permissive Apache-2.0 license; however, usage of model weights is governed by its own Model License.
Last pushed
- ChatGLM2-6B
- Jun 27, 2024
- GLM-130B
- Jul 25, 2023
Categories
- ChatGLM2-6B
- LLM Frameworks
- GLM-130B
- LLM Frameworks, Model Training
Trust and health
Days since push
- ChatGLM2-6B
- 765d
- GLM-130B
- 1103d
Open issues (now)
- ChatGLM2-6B
- 450
- GLM-130B
- 124
OSV dependency advisories
- ChatGLM2-6B
- Published findings
- GLM-130B
- No published findings from this source as of 2026-07-11
Full report
- ChatGLM2-6B
- Trust report
- GLM-130B
- Trust report
Choose ChatGLM2-6B if…
- License: ChatGLM2-6B is Other, GLM-130B 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.
Choose GLM-130B if…
- License: GLM-130B is Apache-2.0, ChatGLM2-6B is Other.
- Pricing: Free to use with specific licensing requirements for model weights..
- Requirements: Min 8 GB RAM.
- Tags unique to GLM-130B: bilingual, iclr 2023, language-model, pre-trained.
- Also covers Model Training.
- Use GLM-130B when you need strong support for two languages to facilitate multilingual content creation or processing, given its specialized training in bilingual contexts.
When NOT to use GLM-130B
- Avoid GLM-130B if your application demands single-language proficiency exclusively, as its strength lies specifically in bilingual support.
- Do not use this model if you seek a resource with multilingual capabilities beyond two specific languages, since it focuses particularly on only a dual-language environment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (zai-org/ChatGLM2-6B) · observed Aug 1, 2026
- GitHub forks (zai-org/ChatGLM2-6B) · observed Aug 1, 2026
- Last push (zai-org/ChatGLM2-6B) · observed Jun 27, 2024
- License file (Other) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zai-org/GLM-130B) · observed Aug 1, 2026
- GitHub forks (zai-org/GLM-130B) · observed Aug 1, 2026
- Last push (zai-org/GLM-130B) · observed Jul 25, 2023
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ChatGLM2-6B 16k · GLM-130B 7.7k (synced Aug 1, 2026).
Common questions
- What is the difference between ChatGLM2-6B and GLM-130B?
- ChatGLM2-6B: An Open Bilingual Chat LLM. GLM-130B: GLM-130B: An Open Bilingual Pre-Trained Model. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChatGLM2-6B over GLM-130B?
- Choose ChatGLM2-6B over GLM-130B when License: ChatGLM2-6B is Other, GLM-130B 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 choose GLM-130B over ChatGLM2-6B?
- Choose GLM-130B over ChatGLM2-6B when License: GLM-130B is Apache-2.0, ChatGLM2-6B is Other; Pricing: Free to use with specific licensing requirements for model weights.; Requirements: Min 8 GB RAM; Tags unique to GLM-130B: bilingual, iclr 2023, language-model, pre-trained; Also covers Model Training; Use GLM-130B when you need strong support for two languages to facilitate multilingual content creation or processing, given its specialized training in bilingual contexts.
- 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.
- When should I avoid GLM-130B?
- Avoid GLM-130B if your application demands single-language proficiency exclusively, as its strength lies specifically in bilingual support. Do not use this model if you seek a resource with multilingual capabilities beyond two specific languages, since it focuses particularly on only a dual-language environment.
- Is ChatGLM2-6B or GLM-130B more popular on GitHub?
- ChatGLM2-6B has more GitHub stars (15,540 vs 7,656). Stars measure visibility, not whether either tool fits your constraints.
- Are ChatGLM2-6B and GLM-130B open source?
- Yes - both are open-source projects on GitHub (ChatGLM2-6B: Other, GLM-130B: Apache-2.0).
- Where can I find alternatives to ChatGLM2-6B or GLM-130B?
- GraphCanon lists graph-backed alternatives at ChatGLM2-6B alternatives and GLM-130B alternatives (ChatGLM2-6B markdown twin, GLM-130B 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, ChatGLM2-6B or GLM-130B?
- ChatGLM2-6B: Dormant. GLM-130B: 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 ChatGLM2-6B and GLM-130B?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatGLM2-6B trust report; GLM-130B trust report.