Amazon Q DevelopervsCody
How 10 AI models weigh Amazon Q Developer against Cody on the 1 buying question where both came up.
- Amazon Q Developer
- 93%of answers named it
- Cody
- 61%of answers named it
- Placed higher
- 26–13times Amazon Q Developer vs Cody, over 39 model rankings that listed either
- Models leaning
- 7–2toward Amazon Q Developer 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 | Amazon Q Developer | Cody | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 42% | 4–0 | Amazon Q Developer |
| GPT-6 Luna | 100% | 75% | 4–0 | Amazon Q Developer |
| Gemini 4 Argon | 83% | 75% | 0–4 | Cody |
| Qwen 3.8 Flash | 100% | 0% | 4–0 | Amazon Q Developer |
| DeepSeek V4 Pro | 83% | 75% | 0–4 | Cody |
| GLM-5.3 | 83% | 33% | 3–0 | Amazon Q Developer |
| Kimi K3 | 92% | 83% | 3–1 | Amazon Q Developer |
| MiniMax M3 | 92% | 50% | 2–2 | Even |
| Mistral Large 4 | 100% | 92% | 3–1 | Amazon Q Developer |
| Nemotron 3 Ultra | 92% | 83% | 3–1 | Amazon Q Developer |
What the models say about Amazon Q Developer
One reason per model, from the shared questions
- Claude Haiku 5.5
Solid AWS-centric assistant with useful security scanning and code transformation.
- GPT-6 Luna
Solid coding help, especially for AWS development and cloud-focused workflows.
- Gemini 4 Argon
Top choice for AWS-centric development, cloud infrastructure code, and automated code transformations.
- Qwen 3.8 Flash
Powerful AWS-focused assistant with robust transforms.
- DeepSeek V4 Pro
Decent inline suggestions with strong security scanning, though now absorbed into Amazon Q.
- GLM-5.3
Best-in-class inline suggestions, tight AWS and IDE integration.
- Kimi K3
Best for AWS-heavy environments and enterprise compliance.
- MiniMax M3
AWS-integrated assistant strong for cloud-heavy codebases.
- Mistral Large 4
Deep AWS integration and excellent security scanning for enterprise cloud work.
- Nemotron 3 Ultra
AWS-specific guidance; free for individuals.
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 | Amazon Q Developer | Cody |
|---|---|---|
| Best AI coding assistants | 93% #4 | 61% #8 |