---
title: "DeepSeek-Coder-V2 vs DeepSeek-V3"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/deepseek-ai-deepseek-coder-v2-vs-deepseek-ai-deepseek-v3"
tools: ["deepseek-ai-deepseek-coder-v2", "deepseek-ai-deepseek-v3"]
---

# DeepSeek-Coder-V2 vs DeepSeek-V3

*GraphCanon updated Jul 17, 2026*

## Verdict

Recommended - Assuming improvement and evolution in features from V2 to V3.

[DeepSeek-Coder-V2](https://github.com/deepseek-ai/DeepSeek-Coder-V2) reports 6.9k GitHub stars, 1.1k forks, and 73 open issues, last pushed Nov 11, 2025. [DeepSeek-V3](https://github.com/deepseek-ai/DeepSeek-V3) has 104k stars, 17k forks, and 248 open issues, last pushed Aug 28, 2025. Figures are from public GitHub metadata via [DeepSeek-Coder-V2's repository](https://github.com/deepseek-ai/DeepSeek-Coder-V2) and [DeepSeek-V3's repository](https://github.com/deepseek-ai/DeepSeek-V3).

| | [DeepSeek-Coder-V2](/tools/deepseek-ai-deepseek-coder-v2.md) | [DeepSeek-V3](/tools/deepseek-ai-deepseek-v3.md) |
| --- | --- | --- |
| Tagline | Breaking the Barrier of Closed-Source Models in Code Intelligence | Repository lacking description with unspecified content related to AI development. |
| Stars | 6,899 | 103,904 |
| Forks | 1,097 | 16,730 |
| Open issues | 73 | 248 |
| Language | - | Python |
| Adopt for | 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 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 | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | Developer Tools | Developer Tools, Inference & Serving |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [DeepSeek-Coder-V2](/tools/deepseek-ai-deepseek-coder-v2.md) | [DeepSeek-V3](/tools/deepseek-ai-deepseek-v3.md) |
| --- | --- | --- |
| Days since push | 244d | 318d |
| Open issues (now) | 73 | 248 |
| Full report | [trust report](/tools/deepseek-ai-deepseek-coder-v2/trust.md) | [trust report](/tools/deepseek-ai-deepseek-v3/trust.md) |

**Typed relationship:** DeepSeek-Coder-V2 _(successor)_ DeepSeek-V3

DeepSeek-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.

## Decision facts: DeepSeek-Coder-V2

- **Adopt for:** DeepSeek-Coder-V2 offers open-source flexibility for code intelligence tasks under dual licensing, supporting commercial projects with its Base and Instruct models.

## Decision facts: DeepSeek-V3

- **Adopt for:** 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

## Choose when

### 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).

### 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-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 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.

## 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](/tools/deepseek-ai-deepseek-coder-v2/alternatives) and [DeepSeek-V3 alternatives](/tools/deepseek-ai-deepseek-v3/alternatives) ([DeepSeek-Coder-V2 markdown twin](/tools/deepseek-ai-deepseek-coder-v2/alternatives.md), [DeepSeek-V3 markdown twin](/tools/deepseek-ai-deepseek-v3/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/deepseek-ai-deepseek-coder-v2-vs-deepseek-ai-deepseek-v3.md) 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](/tools/deepseek-ai-deepseek-coder-v2/trust); [DeepSeek-V3 trust report](/tools/deepseek-ai-deepseek-v3/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=deepseek-ai-deepseek-coder-v2`](/api/graphcanon/graph?tool=deepseek-ai-deepseek-coder-v2)
- 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/_