---
title: "Awesome-Chinese-LLM vs DeepSeek-R1"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/aihubcn-awesome-chinese-llm-vs-deepseek-ai-deepseek-r1"
tools: ["aihubcn-awesome-chinese-llm", "deepseek-ai-deepseek-r1"]
---

# Awesome-Chinese-LLM vs DeepSeek-R1

*GraphCanon updated Aug 17, 2026*

## Verdict

Pick Awesome-Chinese-LLM if awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment; pick DeepSeek-R1 if deepSeek-R1 provides a set of distilled LLMs from Qwen and LLaMA series that support commercial use.

[Awesome-Chinese-LLM](https://github.com/AiHubCN/Awesome-Chinese-LLM) reports 23k GitHub stars, 2.1k forks, and 27 open issues, last pushed May 10, 2026. [DeepSeek-R1](https://github.com/deepseek-ai/DeepSeek-R1) has 92k stars, 12k forks, and 38 open issues, last pushed Jun 27, 2025. Figures are from public GitHub metadata via [Awesome-Chinese-LLM's repository](https://github.com/AiHubCN/Awesome-Chinese-LLM) and [DeepSeek-R1's repository](https://github.com/deepseek-ai/DeepSeek-R1).

| | [Awesome-Chinese-LLM](/tools/aihubcn-awesome-chinese-llm.md) | [DeepSeek-R1](/tools/deepseek-ai-deepseek-r1.md) |
| --- | --- | --- |
| Tagline | 整理开源的中文大语言模型 | Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses. |
| Stars | 22,738 | 91,982 |
| Forks | 2,134 | 11,706 |
| Open issues | 27 | 38 |
| Language | - | - |
| Adopt for | Awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment. | DeepSeek-R1 provides a set of distilled LLMs from Qwen and LLaMA series that support commercial use. |
| Persona | - | - |
| Runtime | - | - |
| License | - | MIT |
| Categories | LLM Frameworks, Model Training | LLM Frameworks, Model Training |

## Trust and health

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

| | [Awesome-Chinese-LLM](/tools/aihubcn-awesome-chinese-llm.md) | [DeepSeek-R1](/tools/deepseek-ai-deepseek-r1.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Dormant (18%) |
| Days since push | 98d | 405d |
| Open issues (now) | 27 | 38 |
| Stars delta | +53 (30d) | Unknown |
| Open issues delta | +3 (30d) | Unknown |
| Owner type | User | Organization |
| Full report | [trust report](/tools/aihubcn-awesome-chinese-llm/trust.md) | [trust report](/tools/deepseek-ai-deepseek-r1/trust.md) |

## Decision facts: Awesome-Chinese-LLM

- **Adopt for:** Awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment.

## Decision facts: DeepSeek-R1

- **Pricing:** freemium - The repository allows for commercial use under the MIT License or respective original licenses with no explicit monetary costs outlined in the repository.
- **Requirements:** Min 4 GB RAM; This is a rough estimate based on common model requirements. Specific models within DeepSeek-R1 may have different resource needs.
- **Adopt for:** DeepSeek-R1 provides a set of distilled LLMs from Qwen and LLaMA series that support commercial use.

## Choose when

### Choose Awesome-Chinese-LLM if…

- Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, llama.
- If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.
- More recently updated (last pushed May 10, 2026).

### Choose DeepSeek-R1 if…

- Pricing: The repository allows for commercial use under the MIT License or respective original licenses with no explicit monetary costs outlined in the repository..
- Requirements: Min 4 GB RAM; This is a rough estimate based on common model requirements. Specific models within DeepSeek-R1 may have different resource needs..
- Tags unique to DeepSeek-R1: commercial use, derived models, distilled models, mit-license.
- When you need to work with pre-trained models derived specifically from the Qwen-2.5 and Llama3.x series, benefiting from their unique characteristics.

## When NOT to use Awesome-Chinese-LLM

- Avoid if your project necessitates large-scale, highly advanced computational capabilities or you are working with languages other than Chinese.
- If your deployment scenario is limited to public cloud services only without the option for private deployment.

## When NOT to use DeepSeek-R1

- Avoid if you need foundational models rather than distilled versions, as DeepSeek-R1 specializes in providing smaller, more efficient models suitable for resource-constrained environments.
- If your project is tightly regulated or requires models from a different lineage, as DeepSeek-R1 exclusively provides derivatives of Qwen and LLaMA series.

## Common questions

### What is the difference between Awesome-Chinese-LLM and DeepSeek-R1?

Awesome-Chinese-LLM: 整理开源的中文大语言模型. DeepSeek-R1: Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses.. See the comparison table for live GitHub stats and shared categories.

### When should I choose Awesome-Chinese-LLM over DeepSeek-R1?

Choose Awesome-Chinese-LLM over DeepSeek-R1 when Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, llama; If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately; More recently updated (last pushed May 10, 2026).

### When should I choose DeepSeek-R1 over Awesome-Chinese-LLM?

Choose DeepSeek-R1 over Awesome-Chinese-LLM when Pricing: The repository allows for commercial use under the MIT License or respective original licenses with no explicit monetary costs outlined in the repository.; Requirements: Min 4 GB RAM; This is a rough estimate based on common model requirements. Specific models within DeepSeek-R1 may have different resource needs.; Tags unique to DeepSeek-R1: commercial use, derived models, distilled models, mit-license; When you need to work with pre-trained models derived specifically from the Qwen-2.5 and Llama3.x series, benefiting from their unique characteristics.

### When should I avoid Awesome-Chinese-LLM?

Avoid if your project necessitates large-scale, highly advanced computational capabilities or you are working with languages other than Chinese. If your deployment scenario is limited to public cloud services only without the option for private deployment.

### When should I avoid DeepSeek-R1?

Avoid if you need foundational models rather than distilled versions, as DeepSeek-R1 specializes in providing smaller, more efficient models suitable for resource-constrained environments. If your project is tightly regulated or requires models from a different lineage, as DeepSeek-R1 exclusively provides derivatives of Qwen and LLaMA series.

### Is Awesome-Chinese-LLM or DeepSeek-R1 more popular on GitHub?

DeepSeek-R1 has more GitHub stars (91,982 vs 22,738). Stars measure visibility, not whether either tool fits your constraints.

### Are Awesome-Chinese-LLM and DeepSeek-R1 open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to Awesome-Chinese-LLM or DeepSeek-R1?

GraphCanon lists graph-backed alternatives at [Awesome-Chinese-LLM alternatives](/tools/aihubcn-awesome-chinese-llm/alternatives) and [DeepSeek-R1 alternatives](/tools/deepseek-ai-deepseek-r1/alternatives) ([Awesome-Chinese-LLM markdown twin](/tools/aihubcn-awesome-chinese-llm/alternatives.md), [DeepSeek-R1 markdown twin](/tools/deepseek-ai-deepseek-r1/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/aihubcn-awesome-chinese-llm-vs-deepseek-ai-deepseek-r1.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, Awesome-Chinese-LLM or DeepSeek-R1?

Awesome-Chinese-LLM: Slowing. DeepSeek-R1: 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 Awesome-Chinese-LLM and DeepSeek-R1?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Awesome-Chinese-LLM trust report](/tools/aihubcn-awesome-chinese-llm/trust); [DeepSeek-R1 trust report](/tools/deepseek-ai-deepseek-r1/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=aihubcn-awesome-chinese-llm`](/api/graphcanon/graph?tool=aihubcn-awesome-chinese-llm)
- 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/_