--- title: "Baichuan-7B vs GLM-130B" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/baichuan-inc-baichuan-7b-vs-zai-org-glm-130b" tools: ["baichuan-inc-baichuan-7b", "zai-org-glm-130b"] --- # Baichuan-7B vs GLM-130B *GraphCanon updated Aug 17, 2026* ## 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. [Baichuan-7B](https://huggingface.co/baichuan-inc/baichuan-7B) reports 5.7k GitHub stars, 500 forks, and 88 open issues, last pushed Jul 18, 2024. [GLM-130B](https://github.com/zai-org/GLM-130B) has 7.7k stars, 600 forks, and 124 open issues, last pushed Jul 25, 2023. Figures are from public GitHub metadata via [Baichuan-7B's repository](https://github.com/baichuan-inc/Baichuan-7B) and [GLM-130B's repository](https://github.com/zai-org/GLM-130B). | | [Baichuan-7B](/tools/baichuan-inc-baichuan-7b.md) | [GLM-130B](/tools/zai-org-glm-130b.md) | | --- | --- | --- | | Tagline | A large-scale 7B pretraining language model | GLM-130B: An Open Bilingual Pre-Trained Model | | Stars | 5,650 | 7,656 | | Forks | 500 | 600 | | Open issues | 88 | 124 | | Language | Python | Python | | Adopt for | Baichuan-7B is notable for its performance in Chinese benchmarks and supports both English and Chinese languages. | GLM-130B specializes in bilingual capabilities and is open source under the Apache-2.0 license. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | 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. | | Categories | LLM Frameworks | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Baichuan-7B](/tools/baichuan-inc-baichuan-7b.md) | [GLM-130B](/tools/zai-org-glm-130b.md) | | --- | --- | --- | | Days since push | 759d | 1103d | | Open issues (now) | 88 | 124 | | Stars delta | -1 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/baichuan-inc-baichuan-7b/trust.md) | [trust report](/tools/zai-org-glm-130b/trust.md) | ## Decision facts: Baichuan-7B - **Adopt for:** Baichuan-7B is notable for its performance in Chinese benchmarks and supports both English and Chinese languages. ## Decision facts: GLM-130B - **Pricing:** freemium - Free to use with specific licensing requirements for model weights. - **Requirements:** Min 8 GB RAM - **Adopt for:** GLM-130B specializes in bilingual capabilities and is open source under the Apache-2.0 license. - **License detail:** 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. ## Choose when ### 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). ### 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 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 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. ## 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](/tools/baichuan-inc-baichuan-7b/alternatives) and [GLM-130B alternatives](/tools/zai-org-glm-130b/alternatives) ([Baichuan-7B markdown twin](/tools/baichuan-inc-baichuan-7b/alternatives.md), [GLM-130B markdown twin](/tools/zai-org-glm-130b/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/baichuan-inc-baichuan-7b-vs-zai-org-glm-130b.md) 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](/tools/baichuan-inc-baichuan-7b/trust); [GLM-130B trust report](/tools/zai-org-glm-130b/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=baichuan-inc-baichuan-7b`](/api/graphcanon/graph?tool=baichuan-inc-baichuan-7b) - 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/_