Comparison
Baichuan-7B vs GLM-130B
Verdict
Pick Baichuan-7B if baichuan-7B is notable for its performance in Chinese benchmarks and supports both English and Chinese languages; pick GLM-130B if gLM-130B specializes in bilingual capabilities and is open source under the Apache-2.0 license.
Markdown twin · Baichuan-7B alternatives · GLM-130B alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | Baichuan-7B | GLM-130B |
|---|---|---|
| Maintenance | Dormant (759d since push) As of 4d · github_public_v1 | Dormant (1103d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · 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
- Baichuan-7B
- A large-scale 7B pretraining language model
- GLM-130B
- GLM-130B: An Open Bilingual Pre-Trained Model
Stars
- Baichuan-7B
- 5.7k
- GLM-130B
- 7.7k
Forks
- Baichuan-7B
- 500
- GLM-130B
- 600
Open issues
- Baichuan-7B
- 88
- GLM-130B
- 124
Language
- Baichuan-7B
- Python
- GLM-130B
- Python
Adopt for
- Baichuan-7B
- Baichuan-7B is notable for its performance in Chinese benchmarks and supports both English and Chinese languages.
- GLM-130B
- GLM-130B specializes in bilingual capabilities and is open source under the Apache-2.0 license.
Persona
- Baichuan-7B
- -
- GLM-130B
- -
Runtime
- Baichuan-7B
- -
- GLM-130B
- -
License
- Baichuan-7B
- Apache-2.0
- 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
- Baichuan-7B
- Jul 18, 2024
- GLM-130B
- Jul 25, 2023
Categories
- Baichuan-7B
- LLM Frameworks
- GLM-130B
- LLM Frameworks, Model Training
Trust and health
Days since push
- Baichuan-7B
- 759d
- GLM-130B
- 1103d
Open issues (now)
- Baichuan-7B
- 88
- GLM-130B
- 124
Stars delta
- Baichuan-7B
- -1 (30d)
- GLM-130B
- Unknown
Open issues delta
- Baichuan-7B
- 0 (30d)
- GLM-130B
- Unknown
OSV dependency advisories
- Baichuan-7B
- Published findings
- GLM-130B
- No published findings from this source as of 2026-07-11
Full report
- Baichuan-7B
- Trust report
- GLM-130B
- Trust report
Choose Baichuan-7B if…
- Tags unique to Baichuan-7B: artificial-intelligence, ceval, chatgpt, chinese.
- If the project requires strong Chinese language proficiency, as Baichuan-7B has been optimized through extensive training specifically targeting Chinese language tasks.
- More recently updated (last pushed Jul 18, 2024).
When NOT to use Baichuan-7B
- If the application primarily deals with languages other than English and Chinese, as Baichuan-7B's training has been focused on these two languages.
- When a model smaller than 7-billion parameters is sufficient for the use case, especially if reducing inference time or resource consumption is more critical.
Choose GLM-130B if…
- 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 (baichuan-inc/Baichuan-7B) · observed Aug 17, 2026
- GitHub forks (baichuan-inc/Baichuan-7B) · observed Aug 17, 2026
- Last push (baichuan-inc/Baichuan-7B) · observed Jul 18, 2024
- License file (Apache-2.0) · observed Aug 17, 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: Baichuan-7B 5.7k · GLM-130B 7.7k (synced Aug 17, 2026).
Common questions
- What is the difference between Baichuan-7B and GLM-130B?
- Baichuan-7B: A large-scale 7B pretraining language model. 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 Baichuan-7B over GLM-130B?
- Choose Baichuan-7B over GLM-130B when Tags unique to Baichuan-7B: artificial-intelligence, ceval, chatgpt, chinese; If the project requires strong Chinese language proficiency, as Baichuan-7B has been optimized through extensive training specifically targeting Chinese language tasks; More recently updated (last pushed Jul 18, 2024).
- When should I choose GLM-130B over Baichuan-7B?
- Choose GLM-130B over Baichuan-7B when 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 Baichuan-7B?
- If the application primarily deals with languages other than English and Chinese, as Baichuan-7B's training has been focused on these two languages. When a model smaller than 7-billion parameters is sufficient for the use case, especially if reducing inference time or resource consumption is more critical.
- 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 Baichuan-7B or GLM-130B more popular on GitHub?
- GLM-130B has more GitHub stars (7,656 vs 5,650). Stars measure visibility, not whether either tool fits your constraints.
- Are Baichuan-7B and GLM-130B open source?
- Yes - both are open-source projects on GitHub (Baichuan-7B: Apache-2.0, GLM-130B: Apache-2.0).
- Where can I find alternatives to Baichuan-7B or GLM-130B?
- GraphCanon lists graph-backed alternatives at Baichuan-7B alternatives and GLM-130B alternatives (Baichuan-7B 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, Baichuan-7B or GLM-130B?
- Baichuan-7B: 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 Baichuan-7B and GLM-130B?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Baichuan-7B trust report; GLM-130B trust report.