Orca vs Qwen Code (2026): Which Vibe Coding App Is Better?
Both are popular terminal coding agents. Here is how Orca and Qwen Code stack up on price, strengths and weaknesses, and which one we would pick.
Orca
An ADE for running fleets of coding agents in parallel worktrees, from desktop or mobile
8.0 /10
Pricing: Open source
Pros
- Runs multiple coding agents in parallel isolated worktrees with diff comparison
- Free, open source (MIT), backed by Y Combinator
- Mobile companion apps for monitoring/steering agents remotely
Cons
- No hosted/managed tier documented — you bring your own agent subscriptions
- Extremely fast recent star growth is worth watching, even though the activity looks organic
Qwen Code
Open-source AI coding agent from Alibaba's Qwen team, for terminal, IDE and desktop
8.0 /10
Pricing: Open source
Pros
- Official, well-funded project from Alibaba's Qwen team with transparent benchmark results
- Multi-protocol model support (OpenAI, Anthropic, Gemini, Qwen) avoids vendor lock-in
- First-class IDE plugins for VS Code, JetBrains and Zed, not just a terminal CLI
Cons
- "Agentic out of the box" features like Auto-Memory/Auto-Skills need review for what data they retain
- Best results likely come from pairing it with Qwen's own models rather than third-party ones
Orca vs Qwen Code at a glance
| Orca | Qwen Code | |
|---|---|---|
| Editor score | 8.0 / 10 | 8.0 / 10 |
| Pricing model | Open source | Open source |
| Starting price | Free | Free |
| Reader upvotes | 0 | 0 |
| Best for | ade, parallel-agents, claude-code | qwen, terminal-agent, multi-model |
| Agent Skills support | No | No |
| Subagents support | No | No |
| MCP support | No | No |
| AGENTS.md support | No | No |
| Plugins support | No | No |
| Hooks support | No | No |
| Rules support | No | No |
| Agent skills in this directory | 0 | 0 |
| Subagents & agents in this directory | 3 | 3 |
| MCP servers in this directory | 0 | 0 |
Our pick
Orca edges it with a score of 8.0 versus 8.0. Orca is the better fit if you value: runs multiple coding agents in parallel isolated worktrees with diff comparison, free, open source (mit), backed by y combinator. Choose Qwen Code instead if you need: official, well-funded project from alibaba's qwen team with transparent benchmark results, multi-protocol model support (openai, anthropic, gemini, qwen) avoids vendor lock-in.
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