--- title: "Aquila2 vs ChatGLM2-6B" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/flagai-open-aquila2-vs-zai-org-chatglm2-6b" tools: ["flagai-open-aquila2", "zai-org-chatglm2-6b"] --- # Aquila2 vs ChatGLM2-6B *GraphCanon updated Sep 20, 2026* ## Verdict Pick Aquila2 if official suite for Aquila2 series LLM by BAAI; pick ChatGLM2-6B if chatGLM2-6B is an open-source bilingual chat language model with enhanced performance, longer context length, and efficient inference capabilities. [Aquila2](https://github.com/FlagAI-Open/Aquila2) reports 445 GitHub stars, 32 forks, and 2 open issues, last pushed Oct 11, 2024. [ChatGLM2-6B](https://github.com/zai-org/ChatGLM2-6B) has 16k stars, 1.8k forks, and 450 open issues, last pushed Jun 27, 2024. Figures are from public GitHub metadata via [Aquila2's repository](https://github.com/FlagAI-Open/Aquila2) and [ChatGLM2-6B's repository](https://github.com/zai-org/ChatGLM2-6B). | | [Aquila2](/tools/flagai-open-aquila2.md) | [ChatGLM2-6B](/tools/zai-org-chatglm2-6b.md) | | --- | --- | --- | | Tagline | Official repository for Aquila2 series large language models by BAAI | An Open Bilingual Chat LLM | | Stars | 445 | 15,517 | | Forks | 32 | 1,781 | | Open issues | 2 | 450 | | Language | Python | Python | | Adopt for | Official suite for Aquila2 series LLM by BAAI | ChatGLM2-6B is an open-source bilingual chat language model with enhanced performance, longer context length, and efficient inference capabilities. | | Persona | - | - | | Runtime | - | - | | License | (unknown) | The model's weights are completely open for academic research and allow free commercial use after registration. | | Categories | Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Aquila2](/tools/flagai-open-aquila2.md) | [ChatGLM2-6B](/tools/zai-org-chatglm2-6b.md) | | --- | --- | --- | | Days since push | 708d | 813d | | Open issues (now) | 2 | 450 | | Stars delta | -1 (30d) | -23 (30d) | | Full report | [trust report](/tools/flagai-open-aquila2/trust.md) | [trust report](/tools/zai-org-chatglm2-6b/trust.md) | ## Decision facts: Aquila2 - **Adopt for:** Official suite for Aquila2 series LLM by BAAI - **License detail:** (unknown) ## Decision facts: ChatGLM2-6B - **Pricing:** freemium - 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. - **Adopt for:** ChatGLM2-6B is an open-source bilingual chat language model with enhanced performance, longer context length, and efficient inference capabilities. - **License detail:** The model's weights are completely open for academic research and allow free commercial use after registration. ## Choose when ### Choose Aquila2 if… - Tags unique to Aquila2: llm-inference, llm-training. - Also covers Model Training. - Need specialized support from Beijing Academy of Artificial Intelligence ### Choose ChatGLM2-6B if… - 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. - 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 Aquila2 - Require comprehensive API and documentation clarity - Preferring open source licensing details ## 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 ## Common questions ### What is the difference between Aquila2 and ChatGLM2-6B? Aquila2: Official repository for Aquila2 series large language models by BAAI. ChatGLM2-6B: An Open Bilingual Chat LLM. See the comparison table for live GitHub stats and shared categories. ### When should I choose Aquila2 over ChatGLM2-6B? Choose Aquila2 over ChatGLM2-6B when Tags unique to Aquila2: llm-inference, llm-training; Also covers Model Training; Need specialized support from Beijing Academy of Artificial Intelligence. ### When should I choose ChatGLM2-6B over Aquila2? Choose ChatGLM2-6B over Aquila2 when 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; 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 avoid Aquila2? Require comprehensive API and documentation clarity Preferring open source licensing details ### 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 ### Is Aquila2 or ChatGLM2-6B more popular on GitHub? ChatGLM2-6B has more GitHub stars (15,517 vs 445). Stars measure visibility, not whether either tool fits your constraints. ### Are Aquila2 and ChatGLM2-6B open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Aquila2 or ChatGLM2-6B? GraphCanon lists graph-backed alternatives at [Aquila2 alternatives](/tools/flagai-open-aquila2/alternatives) and [ChatGLM2-6B alternatives](/tools/zai-org-chatglm2-6b/alternatives) ([Aquila2 markdown twin](/tools/flagai-open-aquila2/alternatives.md), [ChatGLM2-6B markdown twin](/tools/zai-org-chatglm2-6b/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/flagai-open-aquila2-vs-zai-org-chatglm2-6b.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Aquila2 or ChatGLM2-6B? Aquila2: 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 Aquila2 and ChatGLM2-6B? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Aquila2 trust report](/tools/flagai-open-aquila2/trust); [ChatGLM2-6B trust report](/tools/zai-org-chatglm2-6b/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=flagai-open-aquila2`](/api/graphcanon/graph?tool=flagai-open-aquila2) - 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/_