# "LangGraph + CrewAI hybrid reaches 96.1%" — unverifiable claim

> As of October 2026 no source could be located for the claim that an IEEE study found a LangGraph plus CrewAI hybrid reaching 96.1% success on complex multi-agent coordination, and published framework comparisons put such tasks at roughly 54-62%.

A widely circulated framework statistic that has no traceable source.

- **Category:** Contested claims
- **2026 frontier:** No source located
- **Credibility:** Searches found no IEEE study, no 96.1% figure and no '34% higher task specification' metric. The claim also points the opposite way from the published evidence: the ACM Arena benchmark, which holds the model constant, found traditional frameworks gain no correctness advantage from more orchestration code, and other comparisons put complex-task success around 54-62%.
- **Verification:** Disputed
- **Source:** [Correction: ACM CAIS '26 Arena benchmark](https://dlnext.acm.org/doi/10.1145/3786335.3813233)
- **Last updated:** 2026-10-04

> Contested claim: The claim that an IEEE study showed a LangGraph + CrewAI hybrid at 96.1% success, with CrewAI scoring 34% higher on task specification.