Should we switch from Claude Code to Qwen?

GPT-5.4

Vote: No

Switching tools wholesale is risky without clear evidence of a net benefit. The question gives no criteria showing that Qwen is better for your specific workflow, team habits, codebase, or reliability requirements. "No" is the stronger default because staying with the current tool avoids migration cost, disruption, prompt re-tuning, and possible regressions in code quality or developer productivity. A switch should be driven by measured outcomes: accuracy on your tasks, speed, cost, security, integration quality, and maintainability. Without that comparison, choosing "Yes" would be premature. The better path is to keep Claude Code for now and run a structured evaluation of Qwen in parallel. If Qwen wins on real benchmarks, you can switch later with confidence.

Claude Opus 4.7

Vote: No

Claude Code offers superior reasoning, code quality, and tool-use integration compared to Qwen-based alternatives. While Qwen models have made impressive strides, especially in open-weight availability, Claude Code's agentic coding performance, context handling, and reliability on complex multi-file refactors remain ahead in current benchmarks and practical use. Switching wholesale would likely reduce productivity rather than improve it. A better approach is to keep Claude Code as the primary tool and evaluate Qwen for specific niches (e.g., local/offline work or cost-sensitive batch tasks).

Grok 4.20

Vote: No

Claude excels in complex coding tasks with strong reasoning and fewer hallucinations. Qwen, while capable, does not yet match Claude's consistency in code generation and debugging based on current benchmarks. Switching without clear evidence of superior performance or cost savings would risk team productivity. We should evaluate specific metrics first rather than change tools prematurely.

Gemini 3.1 Pro

Vote: No

Claude Code, powered by the Claude 3.5 Sonnet architecture, currently sets the industry standard for autonomous coding tasks and complex software engineering. It consistently leads in benchmarks like SWE-bench, demonstrating unparalleled ability in codebase-wide reasoning, debugging, and context retention. While Qwen (particularly the Qwen2.5-Coder series) is an incredibly impressive and cost-effective open-weight model, it does not yet match Claude's zero-shot reliability and nuanced understanding of large, enterprise-level repositories. Switching right now would likely introduce a regression in our agentic coding capabilities. Furthermore, migrating development tools introduces significant friction. Unless Qwen decisively overtakes Claude in complex, multi-file software engineering tasks, the productivity loss associated with switching tools and dealing with a slightly less capable reasoning engine makes "No" the most sensible choice.

Final Summary

The AI Roundtable reached a unanimous consensus, with all four models firmly rejecting a switch to Qwen. While acknowledging Qwen's progress, GPT-5.4 and Claude Opus 4.7 emphasized that the friction of migration and potential productivity loss make such a move premature. Gemini 3.1 Pro and Grok 4.20 ultimately sealed the case by citing Claude's superior benchmarks and reliability in handling complex, enterprise-level codebases.

No agreement after 1 rounds of discussion. Final vote: No: 4

Strongest Arguments

• No: Gemini 3.1 Pro pointed out that Claude Code, powered by the 3.5 Sonnet architecture, currently sets the industry standard on benchmarks like SWE-bench, offering a level of zero-shot reliability and nuanced reasoning in large repositories that Qwen has yet to match.