Claude Code is the fastest agent framework but costs nearly three times more than the cheapest rival
A new benchmark shows Claude Code executes tasks fastest but costs nearly three times more than the cheapest rival, OpenCode.

- Claude Code achieved the fastest task completion among tested frameworks
- Cost per task varied by nearly 3x between the cheapest (OpenCode at $0.073) and most expensive (Claude Code at $0.195)
- Success rates were similar across all frameworks despite cost differences
- Fewer tool calls and output tokens did not correlate with lower costs in this benchmark
Composio's latest benchmark evaluated four agent frameworks DeepSeek V4 Flash on 30 practical tasks. While success rates remained comparable across frameworks, cost disparities were stark. OpenCode emerged as the most economical at $0.073 per task, while Claude Code, despite using fewer tool calls and output tokens, charged $0.195 per task. The findings highlight a clear trade-off between speed and cost when selecting an agent framework for deployment.
The benchmark suggests that developers must weigh performance gains against budget constraints, as the fastest option may not always be the most cost-effective. This data becomes particularly relevant as AI agents move from experimental prototypes to production systems where operational expenses directly impact scalability and ROI.
Direct cost-performance data helps choose frameworks for production deployments
Budget planning for AI agent systems requires understanding real-world cost structures
Demonstrates how seemingly small differences in pricing can scale with usage
- agent framework
- Software platform that enables AI systems to perform tasks by calling tools and APIs autonomously
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