The wrapper around an AI model now dictates unit economics more than the weights themselves. A recent performance analysis by Composio puts this into perspective, pitting four agent frameworks—Claude Code, Codex, OpenCode, and Oh My Pi—against a gauntlet of 30 business scenarios involving Slack, GitHub, and Notion. The results shatter the myth that efficiency and cost-effectiveness always go hand-in-hand: while the delta in success rates was manageable, the financial chasm between competitors was nearly 3x.
Claude Code is undeniably the sprinter of the group, clocking in at a record 122 seconds per successful task. But according to Composio’s metrics, this velocity comes with a massive premium. Claude Code drains $0.195 per successful outcome, making it 2.7 times more expensive than the budget-focused OpenCode, which hit the same targets for a mere $0.073. This presents a glaring paradox for technical leads: Anthropic’s framework manages to be the most expensive option on the market despite generating the fewest output tokens and demanding the minimum number of tool calls. It is, essentially, an engineering masterpiece in billable inefficiency.
Reliability in this ecosystem remains decoupled from price. While Oh My Pi grabbed the top spot for reliability with 17/30 successful runs, it moved at a glacial 272 seconds. OpenCode sat in the sweet spot, trailing only slightly in success (14/30) while offering the most aggressive price point. For a CTO, the takeaway is clear: the architecture of your agent framework is now the primary driver of financial friction. Opting for the 'premium' name-brand wrapper might shave a minute off the clock, but at scale, you aren't just paying for speed—you are subsidizing an architectural overhead that eats your margins before the first deployment is even complete.