Coding
6 models ranked
Where AI stopped being a toy and became a teammate. Coding models and agents now plan, edit and verify whole repositories, and the tools around them determine real-world velocity as much as the model behind them. We rank the complete stack — models, IDEs and autonomous agents — by how much trustworthy code they ship.
| # | Model | |||||
|---|---|---|---|---|---|---|
| 1 | Cursor Tab | Anysphere | IDECode | 96 | ▲ 11 | 78 t/s |
| 2 | Claude Code | Anthropic | AgentCode | 95 | ▲ 18 | 63 t/s |
| 3 | GitHub Copilot | GitHub | CodeIDE | 92 | ▼ 3 | 70 t/s |
| 4 | Aider | Aider | Open weightsAgent | 89 | ▲ 4 | 59 t/s |
| 5 | Codeium Windsurf | Codeium | AgentIDE | 88 | ▲ 6 | 65 t/s |
| 6 | Continue Dev | Continue | Open weightsIDE | 84 | ▲ 2 | 55 t/s |
FAQ
Frequently asked questions
What is the best Coding AI model?
As of the latest weekly update, the top-scored Coding model is Cursor Tab with 96 out of 100. That said, the best model depends on your use case — budget, context length, speed, privacy and tooling all matter. Compare the top contenders side by side to find the right fit.
How are Coding AI models ranked?
Scores come from community-voted LMArena Elo ratings mapped to a 0–100 scale, where 1000 Elo equals 0 and 1400 Elo equals 100. When no arena rating exists, the Hugging Face trending score is used as a fallback. Rankings refresh daily and combine speed and pricing data from OpenRouter and Artificial Analysis.