Comparison
NExT-GPT vs CodeGeeX
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.
Markdown twin · NExT-GPT alternatives · CodeGeeX alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | NExT-GPT | CodeGeeX |
|---|---|---|
| Maintenance | Dormant (461d since push) As of 3d · github_public_v1 | Dormant (719d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3d · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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.
Stars
- NExT-GPT
- 3.6k
- CodeGeeX
- 8.8k
Forks
- NExT-GPT
- 359
- CodeGeeX
- 688
Open issues
- NExT-GPT
- 81
- CodeGeeX
- 188
Language
- NExT-GPT
- Python
- CodeGeeX
- Python
Adopt for
- NExT-GPT
- NExT-GPT is focused on multimodal capabilities and instruction tuning for a large language model, targeting researchers and developers interested in multimodal applications.
- CodeGeeX
- CodeGeeX is an open-source multilingual code generation model, originally developed with MindSpore and compatible with PyTorch through DeepSpeed integration.
Persona
- NExT-GPT
- -
- CodeGeeX
- -
Runtime
- NExT-GPT
- -
- CodeGeeX
- -
License
- NExT-GPT
- BSD-3-Clause
- CodeGeeX
- Apache-2.0
Last pushed
- NExT-GPT
- May 13, 2025
- CodeGeeX
- Aug 13, 2024
Categories
- NExT-GPT
- LLM Frameworks, Model Training
- CodeGeeX
- LLM Frameworks, Model Training
Trust and health
Days since push
- NExT-GPT
- 461d
- CodeGeeX
- 719d
Open issues (now)
- NExT-GPT
- 81
- CodeGeeX
- 188
Stars delta
- NExT-GPT
- -1 (30d)
- CodeGeeX
- Unknown
Open issues delta
- NExT-GPT
- 0 (30d)
- CodeGeeX
- Unknown
Owner type
- NExT-GPT
- User
- CodeGeeX
- Organization
Full report
- NExT-GPT
- Trust report
- CodeGeeX
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (NExT-GPT/NExT-GPT) · observed Aug 18, 2026
- GitHub forks (NExT-GPT/NExT-GPT) · observed Aug 18, 2026
- Last push (NExT-GPT/NExT-GPT) · observed May 13, 2025
- License file (BSD-3-Clause) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zai-org/CodeGeeX) · observed Aug 2, 2026
- GitHub forks (zai-org/CodeGeeX) · observed Aug 2, 2026
- Last push (zai-org/CodeGeeX) · observed Aug 13, 2024
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: NExT-GPT 3.6k · CodeGeeX 8.8k (synced Aug 18, 2026).
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 and CodeGeeX alternatives (NExT-GPT markdown twin, CodeGeeX markdown twin), 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 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; CodeGeeX trust report.