Augment CodevsGitHub Copilot

How 10 AI models weigh Augment Code against GitHub Copilot on the 1 buying question where both came up.

Augment Code
1%of answers named it
GitHub Copilot
100%of answers named it
Placed higher
0–40times Augment Code vs GitHub Copilot, over 40 model rankings that listed either
Models leaning
0–10toward Augment Code vs GitHub Copilot

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

ModelAugment CodeGitHub CopilotPlaced higherLeans
Claude Haiku 5.50%100%0–4GitHub Copilot
GPT-6 Luna0%100%0–4GitHub Copilot
Gemini 4 Argon0%100%0–4GitHub Copilot
Qwen 3.8 Flash0%100%0–4GitHub Copilot
DeepSeek V4.1 Flash8%100%0–4GitHub Copilot
GLM-5.30%100%0–4GitHub Copilot
Kimi K30%100%0–4GitHub Copilot
MiniMax M30%100%0–4GitHub Copilot
Mistral Large 40%100%0–4GitHub Copilot
Nemotron 3.5 Super VL0%100%0–4GitHub Copilot

What the models say about Augment Code

One reason per model, from the shared questions

What the models say about GitHub Copilot

One reason per model, from the shared questions

  • Claude Haiku 5.5Most widely adopted assistant, deeply integrated across editors and GitHub.
  • GPT-6 LunaExcellent IDE integration, broad language support, and dependable code completion and chat.
  • Gemini 4 ArgonUbiquitous IDE integration, strong autocomplete, and enterprise readiness make it the industry standard.
  • Qwen 3.8 FlashUbiquitous, best ecosystem integration, IDE-native leader.
  • DeepSeek V4.1 FlashDeepest IDE integration and broadest model choice; the default professional pick.
  • GLM-5.3Most mature, widely adopted, deeply IDE-integrated AI assistant.
  • Kimi K3Best overall IDE integration, code quality, and ecosystem support.
  • MiniMax M3Best-in-class autocomplete, deep IDE integration, and Chat mode.
  • Mistral Large 4Best all-around balance of speed, context awareness, and editor integration.
  • Nemotron 3.5 Super VLBest-in-class code completion and IDE integration for developers.

Over time

Share of answers that named each, on the questions where both came up, each time the panel answered

Panel runAugment CodeGitHub Copilot
October 26, 20261%100%
October 25, 20260%100%

Question by question

Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first

QuestionAugment CodeGitHub Copilot
Best AI coding assistants1% #25100% #1