--- title: "NExT-GPT vs align-anything" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/next-gpt-next-gpt-vs-pku-alignment-align-anything" tools: ["next-gpt-next-gpt", "pku-alignment-align-anything"] --- # NExT-GPT vs align-anything *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 align-anything if align Anything focuses on training large models with multiple forms of feedback across various data modalities, leveraging RLHF and DPO. [NExT-GPT](https://next-gpt.github.io/) reports 3.6k GitHub stars, 359 forks, and 81 open issues, last pushed May 13, 2025. [align-anything](https://github.com/PKU-Alignment/align-anything) has 4.7k stars, 505 forks, and 32 open issues, last pushed Nov 27, 2025. Figures are from public GitHub metadata via [NExT-GPT's repository](https://github.com/NExT-GPT/NExT-GPT) and [align-anything's repository](https://github.com/PKU-Alignment/align-anything). | | [NExT-GPT](/tools/next-gpt-next-gpt.md) | [align-anything](/tools/pku-alignment-align-anything.md) | | --- | --- | --- | | Tagline | Code and models for ICML 2024 paper on multimodal large language model | Training All-modality Model with Feedback | | Stars | 3,637 | 4,666 | | Forks | 359 | 505 | | Open issues | 81 | 32 | | 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. | Align Anything focuses on training large models with multiple forms of feedback across various data modalities, leveraging RLHF and DPO. | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | This tool operates under Apache License 2.0, allowing free use, modification, and distribution provided copyright notices are preserved. | | 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) | [align-anything](/tools/pku-alignment-align-anything.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 461d | 263d | | Open issues (now) | 81 | 32 | | Stars delta | -1 (30d) | +4 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/next-gpt-next-gpt/trust.md) | [trust report](/tools/pku-alignment-align-anything/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: align-anything - **Requirements:** Python execution environment - **Adopt for:** Align Anything focuses on training large models with multiple forms of feedback across various data modalities, leveraging RLHF and DPO. - **License detail:** This tool operates under Apache License 2.0, allowing free use, modification, and distribution provided copyright notices are preserved. ## Choose when ### Choose NExT-GPT if… - License: NExT-GPT is BSD-3-Clause, align-anything 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, llm. - - If you are conducting research specifically centered around multimodal interactions (combining text with visual elements) aligning with the scope of NExT-GPT. ### Choose align-anything if… - License: align-anything is Apache-2.0, NExT-GPT is BSD-3-Clause. - Requirements: Python execution environment. - Tags unique to align-anything: chameleon, dpo, rlhf, vision-language-model. - align-anything ships Docker support for self-hosted deployment. - - When you are developing a model that requires feedback from human evaluators and needs to handle different types of data (multimodal). ## 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 align-anything - - When the model training does not benefit from advanced feedback mechanisms like RLHF or DPO. - - For projects that do not require support for multiple data modalities. ## Common questions ### What is the difference between NExT-GPT and align-anything? NExT-GPT: Code and models for ICML 2024 paper on multimodal large language model. align-anything: Training All-modality Model with Feedback. See the comparison table for live GitHub stats and shared categories. ### When should I choose NExT-GPT over align-anything? Choose NExT-GPT over align-anything when License: NExT-GPT is BSD-3-Clause, align-anything 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, llm; - 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 align-anything over NExT-GPT? Choose align-anything over NExT-GPT when License: align-anything is Apache-2.0, NExT-GPT is BSD-3-Clause; Requirements: Python execution environment; Tags unique to align-anything: chameleon, dpo, rlhf, vision-language-model; align-anything ships Docker support for self-hosted deployment; - When you are developing a model that requires feedback from human evaluators and needs to handle different types of data (multimodal). ### 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 align-anything? - When the model training does not benefit from advanced feedback mechanisms like RLHF or DPO. - For projects that do not require support for multiple data modalities. ### Is NExT-GPT or align-anything more popular on GitHub? align-anything has more GitHub stars (4,666 vs 3,637). Stars measure visibility, not whether either tool fits your constraints. ### Are NExT-GPT and align-anything open source? Yes - both are open-source projects on GitHub (NExT-GPT: BSD-3-Clause, align-anything: Apache-2.0). ### Where can I find alternatives to NExT-GPT or align-anything? GraphCanon lists graph-backed alternatives at [NExT-GPT alternatives](/tools/next-gpt-next-gpt/alternatives) and [align-anything alternatives](/tools/pku-alignment-align-anything/alternatives) ([NExT-GPT markdown twin](/tools/next-gpt-next-gpt/alternatives.md), [align-anything markdown twin](/tools/pku-alignment-align-anything/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-pku-alignment-align-anything.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, NExT-GPT or align-anything? NExT-GPT: Dormant. align-anything: Slowing. 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 align-anything? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [NExT-GPT trust report](/tools/next-gpt-next-gpt/trust); [align-anything trust report](/tools/pku-alignment-align-anything/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/_