---
title: "Qwen3-Coder vs AutoGPT"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/qwenlm-qwen3-coder-vs-significant-gravitas-autogpt"
tools: ["qwenlm-qwen3-coder", "significant-gravitas-autogpt"]
---

# Qwen3-Coder vs AutoGPT

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick Qwen3-Coder when tags unique to Qwen3-Coder: python; pick AutoGPT when tags unique to AutoGPT: agents, llm, ai, artificial-intelligence.

[Qwen3-Coder](https://github.com/QwenLM/Qwen3-Coder) reports 17k GitHub stars, 1.2k forks, and 109 open issues, last pushed Mar 24, 2026. [AutoGPT](https://agpt.co) has 185k stars, 46k forks, and 494 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [Qwen3-Coder's repository](https://github.com/QwenLM/Qwen3-Coder) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT).

| | [Qwen3-Coder](/tools/qwenlm-qwen3-coder.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) |
| --- | --- | --- |
| Tagline | Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team. | AutoGPT is the vision of accessible AI for everyone, to use and to build on. |
| Stars | 16,692 | 185,464 |
| Forks | 1,223 | 46,111 |
| Open issues | 109 | 494 |
| Language | Python | Python |
| Adopt for | - | AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude. |
| Persona | - | - |
| Runtime | - | - |
| License | - | Other |
| Categories | LLM Frameworks | LLM Frameworks, AI Agents |

## Trust and health

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

| | [Qwen3-Coder](/tools/qwenlm-qwen3-coder.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Very active (96%) |
| Days since push | 109d | 0d |
| Open issues (now) | 109 | 494 |
| Security scan | No criticals | No lockfile |
| Full report | [trust report](/tools/qwenlm-qwen3-coder/trust.md) | [trust report](/tools/significant-gravitas-autogpt/trust.md) |

## Decision facts: AutoGPT

- **Adopt for:** AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.

## Choose when

### Choose Qwen3-Coder if…

- Tags unique to Qwen3-Coder: python.
- Leaner open-issue backlog (109).

### Choose AutoGPT if…

- Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence.
- Also covers AI Agents.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.

## When NOT to use Qwen3-Coder

- Last GitHub push was 110 days ago (slowing maintenance, Mar 24, 2026). Validate activity before betting a new project on Qwen3-Coder.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## When NOT to use AutoGPT

- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework.
- If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.

## Common questions

### What is the difference between Qwen3-Coder and AutoGPT?

Qwen3-Coder: Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team.. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories.

### When should I choose Qwen3-Coder over AutoGPT?

Choose Qwen3-Coder over AutoGPT when Tags unique to Qwen3-Coder: python; Leaner open-issue backlog (109).

### When should I choose AutoGPT over Qwen3-Coder?

Choose AutoGPT over Qwen3-Coder when Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence; Also covers AI Agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.

### When should I avoid Qwen3-Coder?

Last GitHub push was 110 days ago (slowing maintenance, Mar 24, 2026). Validate activity before betting a new project on Qwen3-Coder. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### When should I avoid AutoGPT?

Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.

### Is Qwen3-Coder or AutoGPT more popular on GitHub?

AutoGPT has more GitHub stars (185,464 vs 16,692). Stars measure visibility, not whether either tool fits your constraints.

### Are Qwen3-Coder and AutoGPT open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to Qwen3-Coder or AutoGPT?

GraphCanon lists graph-backed alternatives at [Qwen3-Coder alternatives](/tools/qwenlm-qwen3-coder/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([Qwen3-Coder markdown twin](/tools/qwenlm-qwen3-coder/alternatives.md), [AutoGPT markdown twin](/tools/significant-gravitas-autogpt/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/qwenlm-qwen3-coder-vs-significant-gravitas-autogpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, Qwen3-Coder or AutoGPT?

Qwen3-Coder: Slowing. AutoGPT: Very active. 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 Qwen3-Coder and AutoGPT?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Qwen3-Coder trust report](/tools/qwenlm-qwen3-coder/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=qwenlm-qwen3-coder`](/api/graphcanon/graph?tool=qwenlm-qwen3-coder)
- 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/_