ChatGPTvsGitHub Copilot
How 10 AI models weigh ChatGPT against GitHub Copilot on the 1 buying question where both came up.
- ChatGPT
- 30%of answers named it
- GitHub Copilot
- 100%of answers named it
- Placed higher
- 0–40times ChatGPT vs GitHub Copilot, over 40 model rankings that listed either
- Models leaning
- 0–10toward ChatGPT 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
| Model | ChatGPT | GitHub Copilot | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 33% | 100% | 0–4 | GitHub Copilot |
| GPT-6 Luna | 8% | 100% | 0–4 | GitHub Copilot |
| Gemini 4 Argon | 67% | 100% | 0–4 | GitHub Copilot |
| Qwen 3.8 Flash | 0% | 100% | 0–4 | GitHub Copilot |
| DeepSeek V4 Pro | 58% | 100% | 0–4 | GitHub Copilot |
| GLM-5.3 | 25% | 100% | 0–4 | GitHub Copilot |
| Kimi K3 | 33% | 100% | 0–4 | GitHub Copilot |
| MiniMax M3 | 8% | 100% | 0–4 | GitHub Copilot |
| Mistral Large 4 | 33% | 100% | 0–4 | GitHub Copilot |
| Nemotron 3 Ultra | 33% | 100% | 0–4 | GitHub Copilot |
What the models say about ChatGPT
One reason per model, from the shared questions
- Claude Haiku 5.5
Versatile for debugging, prototyping, and explaining unfamiliar code or errors.
- GPT-6 Luna
Versatile coding help, debugging, and prototyping with a capable range of tools.
- Gemini 4 Argon
Versatile conversational assistant great for brainstorming, algorithm design, and quick syntax troubleshooting.
- DeepSeek V4 Pro
Versatile generalist with strong code generation and broad language support.
- GLM-5.3
GPT models excel at reasoning, debugging, and broad technical questions.
- Kimi K3
Versatile all-around assistant with strong code generation and broad ecosystem.
- Mistral Large 4
Versatile general assistant with strong debugging and explanation skills.
- Nemotron 3 Ultra
Versatile coding help; strong plugin ecosystem.
What the models say about GitHub Copilot
One reason per model, from the shared questions
- Claude Haiku 5.5
Most widely adopted assistant, deeply integrated across editors and GitHub.
- GPT-6 Luna
Excellent IDE integration, broad language support, and dependable code completion and chat.
- Gemini 4 Argon
Ubiquitous IDE integration, strong autocomplete, and enterprise readiness make it the industry standard.
- Qwen 3.8 Flash
Ubiquitous, best ecosystem integration, IDE-native leader.
- DeepSeek V4 Pro
Deepest IDE integration, massive context window, and strong multi-model support.
- GLM-5.3
Most mature, widely adopted, deeply IDE-integrated AI assistant.
- Kimi K3
Best overall IDE integration, code quality, and ecosystem support.
- MiniMax M3
Best-in-class autocomplete, deep IDE integration, and Chat mode.
- Mistral Large 4
Best all-around balance of speed, context awareness, and editor integration.
- Nemotron 3 Ultra
Best overall IDE integration, strongest code generation
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 | ChatGPT | GitHub Copilot |
|---|---|---|
| Best AI coding assistants | 30% #11 | 100% #1 |