--- title: "aikit vs NExT-GPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kaito-project-aikit-vs-next-gpt-next-gpt" tools: ["kaito-project-aikit", "next-gpt-next-gpt"] --- # aikit vs NExT-GPT *GraphCanon updated Aug 18, 2026* ## Verdict Pick aikit if aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies; 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. [aikit](https://kaito-project.github.io/aikit/) reports 534 GitHub stars, 57 forks, and 43 open issues, last pushed Jul 20, 2026. [NExT-GPT](https://next-gpt.github.io/) has 3.6k stars, 359 forks, and 81 open issues, last pushed May 13, 2025. Figures are from public GitHub metadata via [aikit's repository](https://github.com/kaito-project/aikit) and [NExT-GPT's repository](https://github.com/NExT-GPT/NExT-GPT). | | [aikit](/tools/kaito-project-aikit.md) | [NExT-GPT](/tools/next-gpt-next-gpt.md) | | --- | --- | --- | | Tagline | Fine-tune, build, and deploy open-source LLMs easily! | Code and models for ICML 2024 paper on multimodal large language model | | Stars | 534 | 3,637 | | Forks | 57 | 359 | | Open issues | 43 | 81 | | Language | Go | Python | | Adopt for | Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies. | NExT-GPT is focused on multimodal capabilities and instruction tuning for a large language model, targeting researchers and developers interested in multimodal applications. | | Persona | - | - | | Runtime | - | - | | License | MIT | BSD-3-Clause | | Categories | Inference & Serving, LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aikit](/tools/kaito-project-aikit.md) | [NExT-GPT](/tools/next-gpt-next-gpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 4d | 461d | | Open issues (now) | 43 | 81 | | Stars delta | Unknown | -1 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/kaito-project-aikit/trust.md) | [trust report](/tools/next-gpt-next-gpt/trust.md) | ## Decision facts: aikit - **Adopt for:** Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies. ## 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. ## Choose when ### Choose aikit if… - aikit is primarily Go; NExT-GPT is Python. - License: aikit is MIT, NExT-GPT is BSD-3-Clause. - Tags unique to aikit: ai, buildkit, docker, fine-tuning. - Also covers Inference & Serving. - aikit ships Docker support for self-hosted deployment. - - You need a flexible solution specifically built using Go and prefer its concurrency model. ### Choose NExT-GPT if… - NExT-GPT is primarily Python; aikit is Go. - License: NExT-GPT is BSD-3-Clause, aikit is MIT. - 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: foundation-models, instruction-tuning, large language models, llm. - - If you are conducting research specifically centered around multimodal interactions (combining text with visual elements) aligning with the scope of NExT-GPT. ## When NOT to use aikit - - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these. ## 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. ## Common questions ### What is the difference between aikit and NExT-GPT? aikit: Fine-tune, build, and deploy open-source LLMs easily!. NExT-GPT: Code and models for ICML 2024 paper on multimodal large language model. See the comparison table for live GitHub stats and shared categories. ### When should I choose aikit over NExT-GPT? Choose aikit over NExT-GPT when aikit is primarily Go; NExT-GPT is Python; License: aikit is MIT, NExT-GPT is BSD-3-Clause; Tags unique to aikit: ai, buildkit, docker, fine-tuning; Also covers Inference & Serving; aikit ships Docker support for self-hosted deployment; - You need a flexible solution specifically built using Go and prefer its concurrency model. ### When should I choose NExT-GPT over aikit? Choose NExT-GPT over aikit when NExT-GPT is primarily Python; aikit is Go; License: NExT-GPT is BSD-3-Clause, aikit is MIT; 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: foundation-models, instruction-tuning, large language models, 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 avoid aikit? - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these. ### 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. ### Is aikit or NExT-GPT more popular on GitHub? NExT-GPT has more GitHub stars (3,637 vs 534). Stars measure visibility, not whether either tool fits your constraints. ### Are aikit and NExT-GPT open source? Yes - both are open-source projects on GitHub (aikit: MIT, NExT-GPT: BSD-3-Clause). ### Where can I find alternatives to aikit or NExT-GPT? GraphCanon lists graph-backed alternatives at [aikit alternatives](/tools/kaito-project-aikit/alternatives) and [NExT-GPT alternatives](/tools/next-gpt-next-gpt/alternatives) ([aikit markdown twin](/tools/kaito-project-aikit/alternatives.md), [NExT-GPT markdown twin](/tools/next-gpt-next-gpt/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/kaito-project-aikit-vs-next-gpt-next-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aikit or NExT-GPT? aikit: Very active. NExT-GPT: 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 aikit and NExT-GPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aikit trust report](/tools/kaito-project-aikit/trust); [NExT-GPT trust report](/tools/next-gpt-next-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kaito-project-aikit`](/api/graphcanon/graph?tool=kaito-project-aikit) - 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/_