GoKawiilRunta finds 17x cost gap across nine AI agent harnesses testing same model
Runta ran an evaluation called FrontierHarness Eval, testing nine different AI agent harnesses against the same underlying model to compare their performance and efficiency. The results showed the cost per successful task completion varied by as much as 17 times depending on which harness was used, despite the model being identical. Runta is now offering $100 in credits to developers who want to test their own harness on its platform.
GoKawiil's interpretation of the reporting above, not reported fact.
This suggests that the choice of orchestration or agent harness—not just the underlying model—can be a major driver of operating costs for AI applications. For companies deploying AI agents at scale, this points to significant potential savings or waste depending on tooling choices that often get less scrutiny than model selection itself.
- Nine agent harnesses were tested on the same model, showing cost-per-pass differences up to 17x
- Harness design, not just model choice, significantly impacts AI operating costs
- Runta is offering $100 in free credits for developers to benchmark their own harnesses
Source: frontierharness.org, 2026-09-02
Published there as: “Show HN: FrontierHarness Eval – 9 harness, same model, cost per pass varies 17x”
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