Comparison
ChatGLM2-6B vs GLM-130B
Verdict
Pick ChatGLM2-6B if chatGLM2-6B is an open-source bilingual chat language model with enhanced performance, longer context length, and efficient inference capabilities; pick GLM-130B if gLM-130B is an open-source bilingual pre-trained model under the Apache-2.0 license, with specific terms for its model weights.
Markdown twin · ChatGLM2-6B alternatives · GLM-130B alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | ChatGLM2-6B | GLM-130B |
|---|---|---|
| Maintenance | Dormant (813d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (1150d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · 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
- 7.6k
Forks
- ChatGLM2-6B
- 1.8k
- GLM-130B
- 597
Open issues
- ChatGLM2-6B
- 450
- GLM-130B
- 124
Language
- ChatGLM2-6B
- Python
- GLM-130B
- Python
Adopt for
- ChatGLM2-6B
- ChatGLM2-6B is an open-source bilingual chat language model with enhanced performance, longer context length, and efficient inference capabilities.
- GLM-130B
- GLM-130B is an open-source bilingual pre-trained model under the Apache-2.0 license, with specific terms for its model weights.
Persona
- ChatGLM2-6B
- -
- GLM-130B
- -
Runtime
- ChatGLM2-6B
- -
- GLM-130B
- -
License
- ChatGLM2-6B
- The model's weights are completely open for academic research and allow free commercial use after registration.
- GLM-130B
- The GLM-130B repository is licensed under the Apache-2.0 license, but the use of its model weights is subject to additional terms specified in the Model License.
Last pushed
- ChatGLM2-6B
- Jun 27, 2024
- GLM-130B
- Jul 25, 2023
Categories
- ChatGLM2-6B
- Inference & Serving, LLM Frameworks
- GLM-130B
- LLM Frameworks, Model Training
Trust and health
Days since push
- ChatGLM2-6B
- 813d
- GLM-130B
- 1150d
Open issues (now)
- ChatGLM2-6B
- 450
- GLM-130B
- 124
Stars delta
- ChatGLM2-6B
- -23 (30d)
- GLM-130B
- -9 (30d)
OSV dependency advisories
- ChatGLM2-6B
- Published findings
- GLM-130B
- No published findings from this source as of 2026-09-18
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.
- Pricing: The model is free for both academic and commercial use after registration..
- Requirements: Min 6 GB RAM; The model requires 6GB of GPU memory for inference with INT4 quantization..
- Tags unique to ChatGLM2-6B: chatglm, chatglm-6b, large-language-models, llm.
- Also covers Inference & Serving.
- Use ChatGLM2-6B when you need a bilingual (Chinese-English) chatbot with improved performance metrics over its predecessor, such as higher accuracy on MMLU, CEval, GSM8K, and BBH datasets.
When NOT to use ChatGLM2-6B
- Avoid using ChatGLM2-6B if your application requires a model with a context length shorter than 8K, as the model is optimized for longer context lengths.
- Do not use this model if you need a model that is larger than 6B parameters, as ChatGLM2-6B is specifically designed for this size and may not meet the needs of applications requiring larger models.
- If your project strictly requires a model that has been tested and proven in a wide range of commercial applications, ChatGLM2-6B might not be the best choice, as it is still under development and its
Choose GLM-130B if…
- License: GLM-130B is Apache-2.0, ChatGLM2-6B is Other.
- Pricing: The model is free to use under the Apache-2.0 license, but the use of its weights is subject to specific terms..
- Requirements: Min 16 GB RAM; Ensure compliance with the Model License when using the model weights..
- Tags unique to GLM-130B: apache-2.0 license, bilingual, iclr 2023, model weights license.
- Also covers Model Training.
- Use GLM-130B when you need a bilingual pre-trained model for tasks that require understanding or generating content in two languages.
When NOT to use GLM-130B
- Avoid GLM-130B if your project strictly requires a monolingual model, as its bilingual nature might introduce unnecessary complexity.
- Do not use GLM-130B if your application cannot comply with the specific terms outlined in the Model License, as this could lead to legal complications.
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 Sep 20, 2026
- GitHub forks (zai-org/ChatGLM2-6B) · observed Sep 20, 2026
- Last push (zai-org/ChatGLM2-6B) · observed Jun 27, 2024
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (zai-org/GLM-130B) · observed Sep 20, 2026
- GitHub forks (zai-org/GLM-130B) · observed Sep 20, 2026
- Last push (zai-org/GLM-130B) · observed Jul 25, 2023
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: ChatGLM2-6B 16k · GLM-130B 7.6k (synced Sep 20, 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; Pricing: The model is free for both academic and commercial use after registration.; Requirements: Min 6 GB RAM; The model requires 6GB of GPU memory for inference with INT4 quantization.; Tags unique to ChatGLM2-6B: chatglm, chatglm-6b, large-language-models, llm; Also covers Inference & Serving; Use ChatGLM2-6B when you need a bilingual (Chinese-English) chatbot with improved performance metrics over its predecessor, such as higher accuracy on MMLU, CEval, GSM8K, and 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: The model is free to use under the Apache-2.0 license, but the use of its weights is subject to specific terms.; Requirements: Min 16 GB RAM; Ensure compliance with the Model License when using the model weights.; Tags unique to GLM-130B: apache-2.0 license, bilingual, iclr 2023, model weights license; Also covers Model Training; Use GLM-130B when you need a bilingual pre-trained model for tasks that require understanding or generating content in two languages.
- When should I avoid ChatGLM2-6B?
- Avoid using ChatGLM2-6B if your application requires a model with a context length shorter than 8K, as the model is optimized for longer context lengths. Do not use this model if you need a model that is larger than 6B parameters, as ChatGLM2-6B is specifically designed for this size and may not meet the needs of applications requiring larger models. If your project strictly requires a model that has been tested and proven in a wide range of commercial applications, ChatGLM2-6B might not be the best choice, as it is still under development and its
- When should I avoid GLM-130B?
- Avoid GLM-130B if your project strictly requires a monolingual model, as its bilingual nature might introduce unnecessary complexity. Do not use GLM-130B if your application cannot comply with the specific terms outlined in the Model License, as this could lead to legal complications.
- Is ChatGLM2-6B or GLM-130B more popular on GitHub?
- ChatGLM2-6B has more GitHub stars (15,517 vs 7,647). 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.