---
title: "prompts.chat vs Qwen3-Coder"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/f-prompts-chat-vs-qwenlm-qwen3-coder"
tools: ["f-prompts-chat", "qwenlm-qwen3-coder"]
---

# prompts.chat vs Qwen3-Coder

*GraphCanon updated Aug 16, 2026*

## Verdict

Pick prompts.chat if critical decision points for evaluating `prompts.chat`; pick Qwen3-Coder if qwen3-Coder is the code-oriented variant of Qwen3 designed for chat interactions without thought process outputs.

[prompts.chat](https://prompts.chat) reports 167k GitHub stars, 22k forks, and 65 open issues, last pushed Aug 15, 2026. [Qwen3-Coder](https://github.com/QwenLM/Qwen3-Coder) has 17k stars, 1.2k forks, and 111 open issues, last pushed Mar 24, 2026. Figures are from public GitHub metadata via [prompts.chat's repository](https://github.com/f/prompts.chat) and [Qwen3-Coder's repository](https://github.com/QwenLM/Qwen3-Coder).

| | [prompts.chat](/tools/f-prompts-chat.md) | [Qwen3-Coder](/tools/qwenlm-qwen3-coder.md) |
| --- | --- | --- |
| Tagline | Share, discover, and collect prompts from the community | Code version of Qwen3 instruct models for chatting |
| Stars | 167,212 | 16,772 |
| Forks | 21,586 | 1,237 |
| Open issues | 65 | 111 |
| Language | HTML | Python |
| Adopt for | Critical decision points for evaluating `prompts.chat` | Qwen3-Coder is the code-oriented variant of Qwen3 designed for chat interactions without thought process outputs. |
| Persona | - | - |
| Runtime | - | - |
| License | Other | License information is unavailable. |
| Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks |

## Trust and health

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

| | [prompts.chat](/tools/f-prompts-chat.md) | [Qwen3-Coder](/tools/qwenlm-qwen3-coder.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Slowing (36%) |
| Days since push | 0d | 134d |
| Open issues (now) | 65 | 111 |
| Stars delta | +1.3k (30d) | Unknown |
| Open issues delta | -2 (30d) | Unknown |
| Owner type | User | Organization |
| Full report | [trust report](/tools/f-prompts-chat/trust.md) | [trust report](/tools/qwenlm-qwen3-coder/trust.md) |

## Decision facts: prompts.chat

- **Adopt for:** Critical decision points for evaluating `prompts.chat`

## Decision facts: Qwen3-Coder

- **Pricing:** unknown - Pricing details have not been provided in repository data.
- **Adopt for:** Qwen3-Coder is the code-oriented variant of Qwen3 designed for chat interactions without thought process outputs.
- **License detail:** License information is unavailable.

## Choose when

### Choose prompts.chat if…

- prompts.chat is primarily HTML; Qwen3-Coder is Python.
- Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt.
- prompts.chat ships an MCP server manifest.
- Critical decision points for evaluating `prompts.chat`

### Choose Qwen3-Coder if…

- Qwen3-Coder is primarily Python; prompts.chat is HTML.
- Pricing: Pricing details have not been provided in repository data..
- Tags unique to Qwen3-Coder: chatbot, large-language-model, python.
- Use when you require a model that can engage in detailed technical chats but explicitly avoids displaying any internal reasoning process in its responses, ensuring succinct and direct answers.

## When NOT to use prompts.chat

- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## When NOT to use Qwen3-Coder

- Avoid if your workflow requires transparency into the model's decision-making or logical deductions as it does not generate any form of reasoning output.
- Not recommended in scenarios where users benefit from understanding the thought process behind certain outputs, such as educational settings for learning how decisions are made by AI models.

## Common questions

### What is the difference between prompts.chat and Qwen3-Coder?

prompts.chat: Share, discover, and collect prompts from the community. Qwen3-Coder: Code version of Qwen3 instruct models for chatting. See the comparison table for live GitHub stats and shared categories.

### When should I choose prompts.chat over Qwen3-Coder?

Choose prompts.chat over Qwen3-Coder when prompts.chat is primarily HTML; Qwen3-Coder is Python; Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt; prompts.chat ships an MCP server manifest; Critical decision points for evaluating `prompts.chat`.

### When should I choose Qwen3-Coder over prompts.chat?

Choose Qwen3-Coder over prompts.chat when Qwen3-Coder is primarily Python; prompts.chat is HTML; Pricing: Pricing details have not been provided in repository data.; Tags unique to Qwen3-Coder: chatbot, large-language-model, python; Use when you require a model that can engage in detailed technical chats but explicitly avoids displaying any internal reasoning process in its responses, ensuring succinct and direct answers.

### When should I avoid prompts.chat?

Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### When should I avoid Qwen3-Coder?

Avoid if your workflow requires transparency into the model's decision-making or logical deductions as it does not generate any form of reasoning output. Not recommended in scenarios where users benefit from understanding the thought process behind certain outputs, such as educational settings for learning how decisions are made by AI models.

### Is prompts.chat or Qwen3-Coder more popular on GitHub?

prompts.chat has more GitHub stars (167,212 vs 16,772). Stars measure visibility, not whether either tool fits your constraints.

### Are prompts.chat and Qwen3-Coder open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to prompts.chat or Qwen3-Coder?

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

### Which is better maintained, prompts.chat or Qwen3-Coder?

prompts.chat: Very active. Qwen3-Coder: 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 prompts.chat and Qwen3-Coder?

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

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=f-prompts-chat`](/api/graphcanon/graph?tool=f-prompts-chat)
- 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/_
