Augment CodevsTabnine
How 10 AI models weigh Augment Code against Tabnine on the 1 buying question where both came up.
- Augment Code
- 1%of answers named it
- Tabnine
- 83%of answers named it
- Placed higher
- 1–28times Augment Code vs Tabnine, over 29 model rankings that listed either
- Models leaning
- 1–8toward Augment Code vs Tabnine; 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 | Augment Code | Tabnine | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 0% | 100% | 0–4 | Tabnine |
| GPT-6 Luna | 0% | 17% | 0–0 | Even |
| Gemini 4 Argon | 0% | 100% | 0–4 | Tabnine |
| Qwen 3.8 Flash | 0% | 92% | 0–4 | Tabnine |
| DeepSeek V4.1 Flash | 8% | 50% | 1–0 | Augment Code |
| GLM-5.3 | 0% | 75% | 0–1 | Tabnine |
| Kimi K3 | 0% | 92% | 0–4 | Tabnine |
| MiniMax M3 | 0% | 100% | 0–4 | Tabnine |
| Mistral Large 4 | 0% | 100% | 0–3 | Tabnine |
| Nemotron 3.5 Super VL | 0% | 100% | 0–4 | Tabnine |
What the models say about Augment Code
One reason per model, from the shared questions
- DeepSeek V4.1 Flash
Excellent whole-repo understanding for large legacy codebases.
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.
- 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 3.5 Super VL
Privacy-focused AI completions that run locally or in the cloud.
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 | Augment Code | Tabnine |
|---|---|---|
| Best AI coding assistants | 1% #24 | 83% #5 |