Comparison
DeepSeek-Coder-V2 vs DeepSeek-V3
Verdict
Recommended - Assuming improvement and evolution in features from V2 to V3.
Markdown twin · DeepSeek-Coder-V2 alternatives · DeepSeek-V3 alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | DeepSeek-Coder-V2 | DeepSeek-V3 |
|---|---|---|
| Maintenance | Slowing (244d since push) As of 4d · github_public_v1 | Slowing (318d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of 5d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 6d · osv@v1 | No lockfile (source not queried) As of 6d · 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
- DeepSeek-Coder-V2
- Breaking the Barrier of Closed-Source Models in Code Intelligence
- DeepSeek-V3
- Repository lacking description with unspecified content related to AI development.
Stars
- DeepSeek-Coder-V2
- 6.9k
- DeepSeek-V3
- 104k
Forks
- DeepSeek-Coder-V2
- 1.1k
- DeepSeek-V3
- 17k
Open issues
- DeepSeek-Coder-V2
- 73
- DeepSeek-V3
- 248
Language
- DeepSeek-Coder-V2
- -
- DeepSeek-V3
- Python
Adopt for
- DeepSeek-Coder-V2
- DeepSeek-Coder-V2 offers open-source flexibility for code intelligence tasks under dual licensing, supporting commercial projects with its Base and Instruct models.
- DeepSeek-V3
- DeepSeek-V3 is a Python-based AI development tool, with documentation focused solely on licensing terms for both its codebase and models. It's unclear from the available information what specific features or capabilities
Persona
- DeepSeek-Coder-V2
- -
- DeepSeek-V3
- -
Runtime
- DeepSeek-Coder-V2
- -
- DeepSeek-V3
- -
License
- DeepSeek-Coder-V2
- MIT
- DeepSeek-V3
- MIT
Last pushed
- DeepSeek-Coder-V2
- Nov 11, 2025
- DeepSeek-V3
- Aug 28, 2025
Categories
- DeepSeek-Coder-V2
- Developer Tools
- DeepSeek-V3
- Developer Tools, Inference & Serving
Trust and health
Days since push
- DeepSeek-Coder-V2
- 244d
- DeepSeek-V3
- 318d
Open issues (now)
- DeepSeek-Coder-V2
- 73
- DeepSeek-V3
- 248
Full report
- DeepSeek-Coder-V2
- Trust report
- DeepSeek-V3
- Trust report
Typed relationship
DeepSeek-Coder-V2 successor DeepSeek-V3DeepSeek-V3 is likely an updated version of DeepSeek-Coder-V2 given that both are under the 'DeepSeek' series by deepseek-ai.Recommended - Assuming improvement and evolution in features from V2 to V3.
Choose DeepSeek-Coder-V2 if…
- DeepSeek-V3 is likely an updated version of DeepSeek-Coder-V2 given that both are under the 'DeepSeek' series by deepseek-ai.
- You need support for both non-commercial and commercial use cases.
- More recently updated (last pushed Nov 11, 2025).
When NOT to use DeepSeek-Coder-V2
- Looking for tools with specific language support; DeepSeek-Coder-V2's supported languages are unclear.
- If MIT License or Model License restrictions conflict with your project's requirements.
Choose DeepSeek-V3 if…
- DeepSeek-V3 is likely an updated version of DeepSeek-Coder-V2 given that both are under the 'DeepSeek' series by deepseek-ai.
- Tags unique to DeepSeek-V3: commercial use, mit-license, python.
- Also covers Inference & Serving.
- - When you need an AI model that allows for commercial usage as DeepSeek-V3 explicitly supports this based on licensing provided.
When NOT to use DeepSeek-V3
- - If detailed documentation and clear feature descriptions are crucial as the repository lacks descriptive content.
- - When you require open-source model details or functionalities other than those related solely to licensing terms.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deepseek-ai/DeepSeek-Coder-V2) · observed Jul 13, 2026
- GitHub forks (deepseek-ai/DeepSeek-Coder-V2) · observed Jul 13, 2026
- Last push (deepseek-ai/DeepSeek-Coder-V2) · observed Nov 11, 2025
- License file (MIT) · observed Jul 13, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (deepseek-ai/DeepSeek-V3) · observed Jul 12, 2026
- GitHub forks (deepseek-ai/DeepSeek-V3) · observed Jul 12, 2026
- Last push (deepseek-ai/DeepSeek-V3) · observed Aug 28, 2025
- License file (MIT) · observed Jul 12, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DeepSeek-Coder-V2 6.9k · DeepSeek-V3 104k (synced Jul 13, 2026).
Common questions
- What is the difference between DeepSeek-Coder-V2 and DeepSeek-V3?
- DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence. DeepSeek-V3: Repository lacking description with unspecified content related to AI development.. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepSeek-Coder-V2 over DeepSeek-V3?
- Choose DeepSeek-Coder-V2 over DeepSeek-V3 when DeepSeek-V3 is likely an updated version of DeepSeek-Coder-V2 given that both are under the 'DeepSeek' series by deepseek-ai; You need support for both non-commercial and commercial use cases; More recently updated (last pushed Nov 11, 2025).
- When should I choose DeepSeek-V3 over DeepSeek-Coder-V2?
- Choose DeepSeek-V3 over DeepSeek-Coder-V2 when DeepSeek-V3 is likely an updated version of DeepSeek-Coder-V2 given that both are under the 'DeepSeek' series by deepseek-ai; Tags unique to DeepSeek-V3: commercial use, mit-license, python; Also covers Inference & Serving; - When you need an AI model that allows for commercial usage as DeepSeek-V3 explicitly supports this based on licensing provided.
- When should I avoid DeepSeek-Coder-V2?
- Looking for tools with specific language support; DeepSeek-Coder-V2's supported languages are unclear. If MIT License or Model License restrictions conflict with your project's requirements.
- When should I avoid DeepSeek-V3?
- - If detailed documentation and clear feature descriptions are crucial as the repository lacks descriptive content. - When you require open-source model details or functionalities other than those related solely to licensing terms.
- Is DeepSeek-Coder-V2 or DeepSeek-V3 more popular on GitHub?
- DeepSeek-V3 has more GitHub stars (103,904 vs 6,899). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepSeek-Coder-V2 and DeepSeek-V3 open source?
- Yes - both are open-source projects on GitHub (DeepSeek-Coder-V2: MIT, DeepSeek-V3: MIT).
- Where can I find alternatives to DeepSeek-Coder-V2 or DeepSeek-V3?
- GraphCanon lists graph-backed alternatives at DeepSeek-Coder-V2 alternatives and DeepSeek-V3 alternatives (DeepSeek-Coder-V2 markdown twin, DeepSeek-V3 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, DeepSeek-Coder-V2 or DeepSeek-V3?
- DeepSeek-Coder-V2: Slowing. DeepSeek-V3: 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 DeepSeek-Coder-V2 and DeepSeek-V3?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSeek-Coder-V2 trust report; DeepSeek-V3 trust report.