An AI tooling company conducted a benchmark test comparing four agent frameworks, including Claude Code, to evaluate their performance on 30 real-world tasks. The test used tools like Gmail, GitHub, Slack, and Notion to simulate practical applications. According to the results, Claude Code was the fastest framework, completing tasks in 122 seconds per task. However, it was the most expensive at $0.195 per successful task, significantly higher than the cheapest option, OpenCode, which cost $0.073 per task. The test highlighted the trade-off between speed and cost, with no single framework excelling in all categories.
The benchmark revealed that while success rates were similar across frameworks, with Oh My Pi achieving the highest success rate at 17 out of 30 tasks, the differences in cost and speed were substantial. The most expensive framework, Claude Code, used the fewest tool calls and generated the least output tokens, yet its cost was nearly three times that of the cheapest rival. The results emphasize the importance of balancing performance metrics with financial considerations when selecting an agent framework for real-world applications.
Composio tested DeepSeek V4 Flash across the four frameworks, noting that success rates were close, but cost and speed varied widely. The study highlights the need for users to evaluate their priorities, whether it be speed, cost, or a balance of both, when choosing an AI agent framework. Source: thedecoder
