CodyvsTabnine
How 10 AI models weigh Cody against Tabnine on the 1 buying question where both came up.
- Cody
- 61%of answers named it
- Tabnine
- 88%of answers named it
- Placed higher
- 7–29times Cody vs Tabnine, over 36 model rankings that listed either
- Models leaning
- 1–7toward Cody vs Tabnine; 2 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 | Cody | Tabnine | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 42% | 100% | 0–4 | Tabnine |
| GPT-6 Luna | 75% | 17% | 2–0 | Cody |
| Gemini 4 Argon | 75% | 100% | 2–2 | Even |
| Qwen 3.8 Flash | 0% | 92% | 0–4 | Tabnine |
| DeepSeek V4 Pro | 75% | 100% | 1–3 | Tabnine |
| GLM-5.3 | 33% | 75% | 0–2 | Tabnine |
| Kimi K3 | 83% | 92% | 0–4 | Tabnine |
| MiniMax M3 | 50% | 100% | 0–4 | Tabnine |
| Mistral Large 4 | 92% | 100% | 2–2 | Even |
| Nemotron 3 Ultra | 83% | 100% | 0–4 | Tabnine |
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
What the models say about Tabnine
One reason per model, from the shared questions
- Claude Haiku 5.5
Strong privacy options and on-premises deployment for enterprise teams.
- Gemini 4 Argon
Strict privacy controls and local deployment options tailored for security-conscious enterprise teams.
- Qwen 3.8 Flash
Privacy-first completions with solid local options.
- DeepSeek V4 Pro
Privacy-focused, on-premise option with reliable line completions.
- GLM-5.3
Privacy-focused completions with team personalization.
- Kimi K3
Strong privacy options and on-premises deployment flexibility.
- MiniMax M3
Privacy-focused, on-prem capable completions for enterprise teams.
- Mistral Large 4
Privacy-focused with on-prem options and solid enterprise compliance features.
- Nemotron 3 Ultra
Enterprise-focused with privacy and self-hosting options
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 | Cody | Tabnine |
|---|---|---|
| Best AI coding assistants | 61% #8 | 88% #5 |