Artificial Analysis Benchmarks Devin Fusion: Scoring 68.1 on Coding Agent Index While Slashing Task Cost by 31%
Artificial Analysis released an independent evaluation of Cognition's new coding agent, Devin Fusion. Moving beyond single-model execution, Devin Fusion employs an asymmetric multi-agent architecture pairing Claude Opus 5.5 (max) as the lead reasoning orchestrator alongside GPT-6 Luna (high) as a high-speed parallel worker. In the standardized Coding Agent Index, Devin Fusion achieved an elite score of 68.1 (matching Muse Code at 68.0 and rivaling Claude Code Sonnet 5.5 at 68.4). Crucially, the hybrid architecture slashes average task expense from $13.04 down to $9.01 (a 31% cost reduction) while shortening execution runtime from 65 to 55 minutes.
Key Takeaways
- Artificial Analysis independently benchmarked Devin Fusion, scoring 68.1 on the standardized Coding Agent Index
- Pioneers asymmetric model collaboration: Claude Opus 5.5 orchestrates architecture while GPT-6 Luna executes parallel sub-tasks
- Cuts per-task execution costs from $13.04 to $9.01 (a 31% savings) and trims average completion time from 65 to 55 minutes
- Outperforms Claude Code with Opus 5.5 on DeepSWE v1.1 (72.6% vs 68.4%) and SWE-Atlas-QnA (69.6% vs 66.4%)
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