Home/Compare/CodeT5 vs CodeGeeX

Comparison

CodeT5 vs CodeGeeX

Verdict

Pick CodeT5 if codeT5 is a large language model for code understanding and generation, developed by Salesforce, and is released under the BSD-3-Clause license; pick CodeGeeX if codeGeeX is an open-source multilingual code generation model that supports both Mindspore and PyTorch frameworks, making it suitable for developers working with Ascend 910 AI Processors or GPU platforms.

Markdown twin · CodeT5 alternatives · CodeGeeX alternatives

GraphCanon updated Sep 20, 2026

8views this month

CodeT5 logo

CodeT5

salesforce/CodeT5

★ 3.1kpushed Jun 25, 2026
vs
CodeGeeX logo

CodeGeeX

zai-org/CodeGeeX

★ 8.8kpushed Aug 13, 2024

Trust & integrity

SignalCodeT5CodeGeeX
Maintenance
Archived (84d since push)
As of Sep 18, 2026 · github_public_v1
Dormant (766d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
Published findings
As of Sep 18, 2026 · 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

CodeT5
Open Code LLMs for Code Understanding and Generation
CodeGeeX
CodeGeeX: An Open Multilingual Code Generation Model

Stars

CodeT5
3.1k
CodeGeeX
8.8k

Forks

CodeT5
486
CodeGeeX
686

Open issues

CodeT5
88
CodeGeeX
189

Language

CodeT5
Python
CodeGeeX
Python

Adopt for

CodeT5
CodeT5 is a large language model for code understanding and generation, developed by Salesforce, and is released under the BSD-3-Clause license.
CodeGeeX
CodeGeeX is an open-source multilingual code generation model that supports both Mindspore and PyTorch frameworks, making it suitable for developers working with Ascend 910 AI Processors or GPU platforms.

Persona

CodeT5
-
CodeGeeX
-

Runtime

CodeT5
-
CodeGeeX
-

License

CodeT5
CodeT5 is released under the BSD-3-Clause license, which allows for free use, modification, and distribution, provided that the original copyright notice and disclaimer are included.
CodeGeeX
CodeGeeX is licensed under the Apache-2.0 license, allowing for broad use, modification, and distribution of the code, while the model itself is under a separate license.

Last pushed

CodeT5
Jun 25, 2026
CodeGeeX
Aug 13, 2024

Categories

CodeT5
LLM Frameworks, Model Training
CodeGeeX
LLM Frameworks, Model Training

Trust and health

Maintenance

CodeT5
Archived (8%)
CodeGeeX
Dormant (18%)

Days since push

CodeT5
84d
CodeGeeX
766d

Archived on GitHub

CodeT5
Yes
CodeGeeX
No

Open issues (now)

CodeT5
88
CodeGeeX
189

Stars delta

CodeT5
-5 (30d)
CodeGeeX
-3 (30d)

Open issues delta

CodeT5
0 (30d)
CodeGeeX
+1 (30d)

OSV dependency advisories

CodeT5
No lockfile (source not queried)
CodeGeeX
Published findings

Full report

CodeGeeX
Trust report

Choose CodeT5 if…

  • License: CodeT5 is BSD-3-Clause, CodeGeeX is Apache-2.0.
  • Requirements: Min 8 GB RAM; The model may require significant computational resources for training and inference..
  • Tags unique to CodeT5: code-intelligence, code-understanding, language-model, large-language-models.
  • When you need a tool specifically for code understanding and generation tasks, as CodeT5 is designed with a focus on these areas.

When NOT to use CodeT5

  • If your project involves promoting or profiting from violence, hate, division, environmental destruction, abuse of human rights, or the destruction of people's physical and mental health, as these are

Choose CodeGeeX if…

  • License: CodeGeeX is Apache-2.0, CodeT5 is BSD-3-Clause.
  • Requirements: Requires Docker; Requires Python 3.7+, CUDA 11+, PyTorch 1.10+, and DeepSpeed 0.6+.; Supports installation via pip or through a Docker container for quick setup..
  • Tags unique to CodeGeeX: code-generation-model, gpu-support, mindspore, multilingual.
  • When you need a multilingual code generation model that supports both Mindspore and PyTorch frameworks, allowing flexibility between Ascend 910 AI Processors and GPU platforms.

When NOT to use CodeGeeX

  • If your project is strictly limited to TensorFlow or other frameworks not supported by CodeGeeX, as it primarily supports Mindspore and PyTorch.
  • When your development environment does not support Python 3.7+, CUDA 11+, PyTorch 1.10+, or DeepSpeed 0.6+, as these are the minimum requirements for running CodeGeeX.
  • If you are looking for a model that does not require specific hardware like Ascend 910 AI Processors or GPUs, as CodeGeeX is optimized for these platforms.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: CodeT5 3.1k · CodeGeeX 8.8k (synced Sep 20, 2026).

Common questions

What is the difference between CodeT5 and CodeGeeX?
CodeT5: Open Code LLMs for Code Understanding and Generation. CodeGeeX: CodeGeeX: An Open Multilingual Code Generation Model. See the comparison table for live GitHub stats and shared categories.
When should I choose CodeT5 over CodeGeeX?
Choose CodeT5 over CodeGeeX when License: CodeT5 is BSD-3-Clause, CodeGeeX is Apache-2.0; Requirements: Min 8 GB RAM; The model may require significant computational resources for training and inference.; Tags unique to CodeT5: code-intelligence, code-understanding, language-model, large-language-models; When you need a tool specifically for code understanding and generation tasks, as CodeT5 is designed with a focus on these areas.
When should I choose CodeGeeX over CodeT5?
Choose CodeGeeX over CodeT5 when License: CodeGeeX is Apache-2.0, CodeT5 is BSD-3-Clause; Requirements: Requires Docker; Requires Python 3.7+, CUDA 11+, PyTorch 1.10+, and DeepSpeed 0.6+.; Supports installation via pip or through a Docker container for quick setup.; Tags unique to CodeGeeX: code-generation-model, gpu-support, mindspore, multilingual; When you need a multilingual code generation model that supports both Mindspore and PyTorch frameworks, allowing flexibility between Ascend 910 AI Processors and GPU platforms.
When should I avoid CodeT5?
If your project involves promoting or profiting from violence, hate, division, environmental destruction, abuse of human rights, or the destruction of people's physical and mental health, as these are
When should I avoid CodeGeeX?
If your project is strictly limited to TensorFlow or other frameworks not supported by CodeGeeX, as it primarily supports Mindspore and PyTorch. When your development environment does not support Python 3.7+, CUDA 11+, PyTorch 1.10+, or DeepSpeed 0.6+, as these are the minimum requirements for running CodeGeeX. If you are looking for a model that does not require specific hardware like Ascend 910 AI Processors or GPUs, as CodeGeeX is optimized for these platforms.
Is CodeT5 or CodeGeeX more popular on GitHub?
CodeGeeX has more GitHub stars (8,806 vs 3,093). Stars measure visibility, not whether either tool fits your constraints.
Are CodeT5 and CodeGeeX open source?
Yes - both are open-source projects on GitHub (CodeT5: BSD-3-Clause, CodeGeeX: Apache-2.0).
Where can I find alternatives to CodeT5 or CodeGeeX?
GraphCanon lists graph-backed alternatives at CodeT5 alternatives and CodeGeeX alternatives (CodeT5 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, CodeT5 or CodeGeeX?
CodeT5: Archived. 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 CodeT5 and CodeGeeX?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CodeT5 trust report; CodeGeeX trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.