Comparison
CodeGeeX vs GLM-130B
Verdict
Pick CodeGeeX if codeGeeX is an open-source multilingual code generation model, originally developed with MindSpore and compatible with PyTorch through DeepSpeed integration; pick GLM-130B if gLM-130B specializes in bilingual capabilities and is open source under the Apache-2.0 license.
Markdown twin · CodeGeeX alternatives · GLM-130B alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | CodeGeeX | GLM-130B |
|---|---|---|
| Maintenance | Dormant (719d since push) As of 3w · github_public_v1 | Dormant (1103d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- CodeGeeX
- CodeGeeX is an open multilingual code generation model implemented in Mindspore and available via PyTorch.
- GLM-130B
- GLM-130B: An Open Bilingual Pre-Trained Model
Stars
- CodeGeeX
- 8.8k
- GLM-130B
- 7.7k
Forks
- CodeGeeX
- 688
- GLM-130B
- 600
Open issues
- CodeGeeX
- 188
- GLM-130B
- 124
Language
- CodeGeeX
- Python
- GLM-130B
- Python
Adopt for
- CodeGeeX
- CodeGeeX is an open-source multilingual code generation model, originally developed with MindSpore and compatible with PyTorch through DeepSpeed integration.
- GLM-130B
- GLM-130B specializes in bilingual capabilities and is open source under the Apache-2.0 license.
Persona
- CodeGeeX
- -
- GLM-130B
- -
Runtime
- CodeGeeX
- -
- GLM-130B
- -
License
- CodeGeeX
- Apache-2.0
- GLM-130B
- The GLM-130B codebase and framework are available under the permissive Apache-2.0 license; however, usage of model weights is governed by its own Model License.
Last pushed
- CodeGeeX
- Aug 13, 2024
- GLM-130B
- Jul 25, 2023
Categories
- CodeGeeX
- LLM Frameworks, Model Training
- GLM-130B
- LLM Frameworks, Model Training
Trust and health
Days since push
- CodeGeeX
- 719d
- GLM-130B
- 1103d
Open issues (now)
- CodeGeeX
- 188
- GLM-130B
- 124
OSV dependency advisories
- CodeGeeX
- Published findings
- GLM-130B
- No published findings from this source as of 2026-07-11
Full report
- CodeGeeX
- Trust report
- GLM-130B
- Trust report
Choose CodeGeeX if…
- 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.
- More GitHub stars (8.8k vs 7.7k) - visibility, not fit.
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.
Choose GLM-130B if…
- Pricing: Free to use with specific licensing requirements for model weights..
- Requirements: Min 8 GB RAM.
- Tags unique to GLM-130B: bilingual, iclr 2023, language-model, pre-trained.
- Use GLM-130B when you need strong support for two languages to facilitate multilingual content creation or processing, given its specialized training in bilingual contexts.
When NOT to use GLM-130B
- Avoid GLM-130B if your application demands single-language proficiency exclusively, as its strength lies specifically in bilingual support.
- Do not use this model if you seek a resource with multilingual capabilities beyond two specific languages, since it focuses particularly on only a dual-language environment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (zai-org/GLM-130B) · observed Aug 1, 2026
- GitHub forks (zai-org/GLM-130B) · observed Aug 1, 2026
- Last push (zai-org/GLM-130B) · observed Jul 25, 2023
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: CodeGeeX 8.8k · GLM-130B 7.7k (synced Aug 2, 2026).
Common questions
- What is the difference between CodeGeeX and GLM-130B?
- CodeGeeX: CodeGeeX is an open multilingual code generation model implemented in Mindspore and available via PyTorch.. GLM-130B: GLM-130B: An Open Bilingual Pre-Trained Model. See the comparison table for live GitHub stats and shared categories.
- When should I choose CodeGeeX over GLM-130B?
- Choose CodeGeeX over GLM-130B when 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; More GitHub stars (8.8k vs 7.7k) - visibility, not fit.
- When should I choose GLM-130B over CodeGeeX?
- Choose GLM-130B over CodeGeeX when Pricing: Free to use with specific licensing requirements for model weights.; Requirements: Min 8 GB RAM; Tags unique to GLM-130B: bilingual, iclr 2023, language-model, pre-trained; Use GLM-130B when you need strong support for two languages to facilitate multilingual content creation or processing, given its specialized training in bilingual contexts.
- 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.
- When should I avoid GLM-130B?
- Avoid GLM-130B if your application demands single-language proficiency exclusively, as its strength lies specifically in bilingual support. Do not use this model if you seek a resource with multilingual capabilities beyond two specific languages, since it focuses particularly on only a dual-language environment.
- Is CodeGeeX or GLM-130B more popular on GitHub?
- CodeGeeX has more GitHub stars (8,809 vs 7,656). Stars measure visibility, not whether either tool fits your constraints.
- Are CodeGeeX and GLM-130B open source?
- Yes - both are open-source projects on GitHub (CodeGeeX: Apache-2.0, GLM-130B: Apache-2.0).
- Where can I find alternatives to CodeGeeX or GLM-130B?
- GraphCanon lists graph-backed alternatives at CodeGeeX alternatives and GLM-130B alternatives (CodeGeeX markdown twin, GLM-130B 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, CodeGeeX or GLM-130B?
- CodeGeeX: Dormant. GLM-130B: 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 CodeGeeX and GLM-130B?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CodeGeeX trust report; GLM-130B trust report.