Claude CodevsCody
How 10 AI models weigh Claude Code against Cody on the 1 buying question where both came up.
- Claude Code
- 66%of answers named it
- Cody
- 61%of answers named it
- Placed higher
- 30–7times Claude Code vs Cody, over 37 model rankings that listed either
- Models leaning
- 8–1toward Claude Code vs Cody; 1 even
Which models prefer which
Share of each model's answers that named each product, and how often its ranking put one above the other (a product listed beats one left off) · On the 1 shared question, every wording
| Model | Claude Code | Cody | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 67% | 42% | 3–0 | Claude Code |
| GPT-6 Luna | 92% | 75% | 4–0 | Claude Code |
| Gemini 4 Argon | 33% | 75% | 1–3 | Cody |
| Qwen 3.8 Flash | 100% | 0% | 4–0 | Claude Code |
| DeepSeek V4 Pro | 42% | 75% | 3–1 | Claude Code |
| GLM-5.3 | 92% | 33% | 4–0 | Claude Code |
| Kimi K3 | 50% | 83% | 3–0 | Claude Code |
| MiniMax M3 | 100% | 50% | 4–0 | Claude Code |
| Mistral Large 4 | 58% | 92% | 2–2 | Even |
| Nemotron 3 Ultra | 25% | 83% | 2–1 | Claude Code |
What the models say about Claude Code
One reason per model, from the shared questions
- Claude Haiku 5.5
Excellent agentic terminal coding with strong reasoning over large codebases.
- GPT-6 Luna
Highly capable terminal-based agent for complex coding tasks and repository-wide changes.
- Gemini 4 Argon
Exceptional agentic terminal workflow capable of autonomously navigating and refactoring complex codebases.
- Qwen 3.8 Flash
Top-tier agentic coding; excels at large refactors.
- DeepSeek V4 Pro
Agentic power with deep reasoning, excels at complex multi-file tasks.
- GLM-5.3
Powerful agentic coding terminal with excellent real-world results.
- Kimi K3
Superior reasoning for complex architectural decisions and refactoring.
- MiniMax M3
Terminal-native agent excelling at complex, multi-file refactors.
- Mistral Large 4
Superior reasoning for complex refactors and architectural decisions.
- Nemotron 3 Ultra
Excellent reasoning for complex refactoring and architecture
What the models say about Cody
One reason per model, from the shared questions
- Claude Haiku 5.5
Good at navigating very large codebases, though its appeal has narrowed recently.
- GPT-6 Luna
Repository search and codebase context can make it valuable on large projects, though alternatives are stronger overall.
- Gemini 4 Argon
Unmatched context retrieval across massive enterprise repositories powered by Sourcegraph's code search.
- DeepSeek V4 Pro
Excels at codebase-wide search and understanding across repositories.
- Kimi K3
Excellent codebase search and context for large repositories.
- MiniMax M3
Sourcegraph-powered context retrieval makes it great for large codebases.
- Mistral Large 4
Excels at large monorepo navigation and cross-repository code search.
- Nemotron 3 Ultra
Excels at large codebase navigation and understanding
Tracked since October 25, 2026. Each time the panel answers these questions again, both shares are added here.
Question by question
Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first
| Question | Claude Code | Cody |
|---|---|---|
| Best AI coding assistants | 66% #6 | 61% #8 |