Claude Code is fastest agent framework but costs 3x more

AI tooling company Composio recently conducted a benchmark study testing the DeepSeek V4 Flash model across four distinct agent frameworks: Claude Code, Codex, OpenCode, and Oh My Pi. The evaluation involved executing 30 tasks using real-world integrations such as Gmail, GitHub, Slack, and Notion. The results demonstrated that the choice of software wrapper surrounding an AI model dramatically influences both operational speed and financial cost, even when utilizing the exact same underlying model.

No single framework dominated every metric in the evaluation. Oh My Pi achieved the highest overall success rate, completing 17 out of 30 tasks, but it was also the slowest, averaging 272 seconds per task. In contrast, Claude Code proved to be the fastest framework, completing tasks in just 122 seconds on average. However, Claude Code was also the most expensive option at $0.195 per successful task, despite generating the fewest output tokens and requiring the fewest tool calls. OpenCode emerged as the most budget-friendly alternative, costing just $0.073 per successful task, though it trailed slightly in performance with a success rate of 14 out of 30.

For AI practitioners, these findings highlight a critical trade-off between speed, cost, and reliability when deploying agentic workflows. While overall success rates remained relatively close across the board, seven specific tasks passed or failed solely based on which framework was running them. The nearly threefold cost difference and 2.2-fold speed variance mean that developers must carefully align their framework selection with their specific business priorities. Those requiring rapid execution may justify the premium price of Claude Code, while budget-conscious projects can achieve comparable success rates at a fraction of the cost by opting for OpenCode.