Composio Tests Four AI Coding Agents Using DeepSeek V4 Flash
Composio conducted a benchmark test evaluating four AI programming agent frameworks—Oh My Pi, Claude Code, Codex, and OpenCode—across 30 tasks using the DeepSeek V4 Flash model. The results showed that "Oh My Pi" achieved the highest success rate, completing 17 out of 30 tasks. This benchmark helps developers understand how different agentic frameworks perform when paired with lightweight, fast models like DeepSeek V4 Flash. It highlights the trade-offs between task success rate, execution speed, and API cost when building autonomous coding agents. While Oh My Pi had the highest success rate, it was the slowest, taking 272 seconds per task. In contrast, Claude Code was the fastest at 122 seconds but cost the most ($0.195 per task), whereas OpenCode was the cheapest at $0.073 per successful task.
## BACKGROUND
AI coding agents are software systems that use large language models (LLMs) to autonomously write, edit, and debug code by interacting with tools like terminals, IDEs, and APIs. Composio is an open-source integration platform that connects LLMs to external applications like GitHub, Slack, and Gmail. DeepSeek V4 Flash is a fast, cost-effective language model optimized for quick inference and tool-calling tasks.