--- title: "NExT-GPT vs CodeGeeX" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/next-gpt-next-gpt-vs-zai-org-codegeex" tools: ["next-gpt-next-gpt", "zai-org-codegeex"] --- # NExT-GPT vs CodeGeeX *GraphCanon updated Aug 18, 2026* ## Verdict Pick NExT-GPT if nExT-GPT is focused on multimodal capabilities and instruction tuning for a large language model, targeting researchers and developers interested in multimodal applications; pick CodeGeeX if codeGeeX is an open-source multilingual code generation model, originally developed with MindSpore and compatible with PyTorch through DeepSpeed integration. [NExT-GPT](https://next-gpt.github.io/) reports 3.6k GitHub stars, 359 forks, and 81 open issues, last pushed May 13, 2025. [CodeGeeX](https://codegeex.cn) has 8.8k stars, 688 forks, and 188 open issues, last pushed Aug 13, 2024. Figures are from public GitHub metadata via [NExT-GPT's repository](https://github.com/NExT-GPT/NExT-GPT) and [CodeGeeX's repository](https://github.com/zai-org/CodeGeeX). | | [NExT-GPT](/tools/next-gpt-next-gpt.md) | [CodeGeeX](/tools/zai-org-codegeex.md) | | --- | --- | --- | | Tagline | Code and models for ICML 2024 paper on multimodal large language model | CodeGeeX is an open multilingual code generation model implemented in Mindspore and available via PyTorch. | | Stars | 3,637 | 8,809 | | Forks | 359 | 688 | | Open issues | 81 | 188 | | Language | Python | Python | | Adopt for | NExT-GPT is focused on multimodal capabilities and instruction tuning for a large language model, targeting researchers and developers interested in multimodal applications. | CodeGeeX is an open-source multilingual code generation model, originally developed with MindSpore and compatible with PyTorch through DeepSpeed integration. | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | Apache-2.0 | | Categories | LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [NExT-GPT](/tools/next-gpt-next-gpt.md) | [CodeGeeX](/tools/zai-org-codegeex.md) | | --- | --- | --- | | Days since push | 461d | 719d | | Open issues (now) | 81 | 188 | | Stars delta | -1 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/next-gpt-next-gpt/trust.md) | [trust report](/tools/zai-org-codegeex/trust.md) | ## Decision facts: NExT-GPT - **Pricing:** freemium - NExT-GPT is open-source under BSD-3-Clause license, indicating a free but restricted-for-commercial-use model without associated direct monetary cost. - **Requirements:** Min 8 GB RAM; - The repository notes that the code and models are intended for non-commercial use only and must not be used in any illegal or harmful contexts.; - Potential commercial users should seek approval from the authors, making it unsuitable without prior authorization if commercial application is considered. - **Adopt for:** NExT-GPT is focused on multimodal capabilities and instruction tuning for a large language model, targeting researchers and developers interested in multimodal applications. ## Decision facts: CodeGeeX - **Adopt for:** CodeGeeX is an open-source multilingual code generation model, originally developed with MindSpore and compatible with PyTorch through DeepSpeed integration. ## Choose when ### Choose NExT-GPT if… - License: NExT-GPT is BSD-3-Clause, CodeGeeX is Apache-2.0. - Pricing: NExT-GPT is open-source under BSD-3-Clause license, indicating a free but restricted-for-commercial-use model without associated direct monetary cost.. - Requirements: Min 8 GB RAM; - The repository notes that the code and models are intended for non-commercial use only and must not be used in any illegal or harmful contexts.; - Potential commercial users should seek approval from the authors, making it unsuitable without prior authorization if commercial application is considered.. - Tags unique to NExT-GPT: chatgpt, foundation-models, instruction-tuning, large language models. - - If you are conducting research specifically centered around multimodal interactions (combining text with visual elements) aligning with the scope of NExT-GPT. ### Choose CodeGeeX if… - License: CodeGeeX is Apache-2.0, NExT-GPT is BSD-3-Clause. - Tags unique to CodeGeeX: ai programming tools, code generation, pretrained-models. - When you require support for multilingual code generation and your project has a Python-based infrastructure with CUDA GPU availability. ## When NOT to use NExT-GPT - - When your project necessitates a production-ready solution, as NExT-GPT is positioned purely for research and non-commercial use. - - If your application requires the model to be used in contexts like illegal, harmful, violent, racist, or sexual purposes, since its usage guidelines explicitly prohibit such applications. ## When NOT to use CodeGeeX - If your development environment lacks the necessary dependencies like Python 3.7+, CUDA 11+, PyTorch 1.10+, and DeepSpeed 0.6+. - In scenarios where an open-source solution is not preferable or when support for exclusively one language's syntax is sufficient. ## Common questions ### What is the difference between NExT-GPT and CodeGeeX? NExT-GPT: Code and models for ICML 2024 paper on multimodal large language model. CodeGeeX: CodeGeeX is an open multilingual code generation model implemented in Mindspore and available via PyTorch.. See the comparison table for live GitHub stats and shared categories. ### When should I choose NExT-GPT over CodeGeeX? Choose NExT-GPT over CodeGeeX when License: NExT-GPT is BSD-3-Clause, CodeGeeX is Apache-2.0; Pricing: NExT-GPT is open-source under BSD-3-Clause license, indicating a free but restricted-for-commercial-use model without associated direct monetary cost.; Requirements: Min 8 GB RAM; - The repository notes that the code and models are intended for non-commercial use only and must not be used in any illegal or harmful contexts.; - Potential commercial users should seek approval from the authors, making it unsuitable without prior authorization if commercial application is considered.; Tags unique to NExT-GPT: chatgpt, foundation-models, instruction-tuning, large language models; - If you are conducting research specifically centered around multimodal interactions (combining text with visual elements) aligning with the scope of NExT-GPT. ### When should I choose CodeGeeX over NExT-GPT? Choose CodeGeeX over NExT-GPT when License: CodeGeeX is Apache-2.0, NExT-GPT is BSD-3-Clause; Tags unique to CodeGeeX: ai programming tools, code generation, pretrained-models; When you require support for multilingual code generation and your project has a Python-based infrastructure with CUDA GPU availability. ### When should I avoid NExT-GPT? - When your project necessitates a production-ready solution, as NExT-GPT is positioned purely for research and non-commercial use. - If your application requires the model to be used in contexts like illegal, harmful, violent, racist, or sexual purposes, since its usage guidelines explicitly prohibit such applications. ### When should I avoid CodeGeeX? If your development environment lacks the necessary dependencies like Python 3.7+, CUDA 11+, PyTorch 1.10+, and DeepSpeed 0.6+. In scenarios where an open-source solution is not preferable or when support for exclusively one language's syntax is sufficient. ### Is NExT-GPT or CodeGeeX more popular on GitHub? CodeGeeX has more GitHub stars (8,809 vs 3,637). Stars measure visibility, not whether either tool fits your constraints. ### Are NExT-GPT and CodeGeeX open source? Yes - both are open-source projects on GitHub (NExT-GPT: BSD-3-Clause, CodeGeeX: Apache-2.0). ### Where can I find alternatives to NExT-GPT or CodeGeeX? GraphCanon lists graph-backed alternatives at [NExT-GPT alternatives](/tools/next-gpt-next-gpt/alternatives) and [CodeGeeX alternatives](/tools/zai-org-codegeex/alternatives) ([NExT-GPT markdown twin](/tools/next-gpt-next-gpt/alternatives.md), [CodeGeeX markdown twin](/tools/zai-org-codegeex/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/next-gpt-next-gpt-vs-zai-org-codegeex.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, NExT-GPT or CodeGeeX? NExT-GPT: Dormant. CodeGeeX: 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 NExT-GPT and CodeGeeX? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [NExT-GPT trust report](/tools/next-gpt-next-gpt/trust); [CodeGeeX trust report](/tools/zai-org-codegeex/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=next-gpt-next-gpt`](/api/graphcanon/graph?tool=next-gpt-next-gpt) - 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/_