Claude CodevsGitHub Copilot
How 10 AI models weigh Claude Code against GitHub Copilot on the 1 buying question where both came up.
- Claude Code
- 66%of answers named it
- GitHub Copilot
- 100%of answers named it
- Placed higher
- 1–39times Claude Code vs GitHub Copilot, over 40 model rankings that listed either
- Models leaning
- 0–10toward Claude 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
| Model | Claude Code | GitHub Copilot | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 67% | 100% | 0–4 | GitHub Copilot |
| GPT-6 Luna | 92% | 100% | 0–4 | GitHub Copilot |
| Gemini 4 Argon | 33% | 100% | 0–4 | GitHub Copilot |
| Qwen 3.8 Flash | 100% | 100% | 0–4 | GitHub Copilot |
| DeepSeek V4 Pro | 42% | 100% | 0–4 | GitHub Copilot |
| GLM-5.3 | 92% | 100% | 1–3 | GitHub Copilot |
| Kimi K3 | 50% | 100% | 0–4 | GitHub Copilot |
| MiniMax M3 | 100% | 100% | 0–4 | GitHub Copilot |
| Mistral Large 4 | 58% | 100% | 0–4 | GitHub Copilot |
| Nemotron 3 Ultra | 25% | 100% | 0–4 | GitHub Copilot |
What the models say about Claude Code
One reason per model, from the shared questions
- Claude Haiku 5.5
Excellent agentic terminal coding with strong reasoning over large codebases.
- GPT-6 Luna
Highly capable terminal-based agent for complex coding tasks and repository-wide changes.
- Gemini 4 Argon
Exceptional agentic terminal workflow capable of autonomously navigating and refactoring complex codebases.
- Qwen 3.8 Flash
Top-tier agentic coding; excels at large refactors.
- DeepSeek V4 Pro
Agentic power with deep reasoning, excels at complex multi-file tasks.
- GLM-5.3
Powerful agentic coding terminal with excellent real-world results.
- Kimi K3
Superior reasoning for complex architectural decisions and refactoring.
- MiniMax M3
Terminal-native agent excelling at complex, multi-file refactors.
- Mistral Large 4
Superior reasoning for complex refactors and architectural decisions.
- Nemotron 3 Ultra
Excellent reasoning for complex refactoring and architecture
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 | Claude Code | GitHub Copilot |
|---|---|---|
| Best AI coding assistants | 66% #6 | 100% #1 |