Claude Code is the fastest agent framework but costs nearly three times more than the cheapest rival

What changed

Composio ran a head-to-head test of four agent frameworks using Deepseek V4 Flash on 30 real-world tasks. Success rates across the frameworks were mostly neck and neck. The standout difference emerged on cost and speed. Claude Code completed tasks faster and with fewer tool calls and output tokens. Yet Claude Code’s expense was nearly three times higher than the cheapest option, OpenCode, coming in at $0.195 compared to $0.073 per task.

Why builders should care

In agent frameworks, speed and efficiency often come at a price. Claude Code proves this by trimming tool calls and output bulk, improving latency. However, the price premium may strain budgets or force trade-offs in scaled applications. Builders juggling cost controls with performance gains will face a clear choice: save money with OpenCode or pay considerably more for faster, streamlined execution with Claude Code.

The practical takeaway

The main factor shaping framework selection today is cost efficiency versus runtime speed. Performance benefits like fewer tool calls don’t automatically translate to savings in operational costs or API spend. Builders need to account for Claude Code’s nearly 3x higher expense alongside its speed edge. For most practical use cases working under budget constraints, OpenCode or rivals could deliver very similar success at substantially reduced spend.

What to watch next

Future tests should track whether usage scale or particular task types widen the cost-performance gap between these frameworks. Frameworks that can optimize both cost and speed simultaneously will gain operational leverage. Watch for updates from Composio and others who stress-test AI agents’ true economics on live projects. The cheapest or fastest options are unlikely to dominate outright without balancing the other key metric.

AI Quick Briefs Editorial Desk