Devin Fusion 双模型配置在 Coding Agent Index 得 68.1 分
Devin Fusion with Claude Opus 5.5 (max) and a GPT-6 Luna (high) sidekick scores 68 on the Coding Agent Index, 2 points above Claude Code with Opus 5.5 (max) at
Artificial Analysis 用 Claude Opus 5.5（max）加 GPT-6 Luna（high）副手测试 Cognition 的 Devin Fusion CLI，在 Coding Agent Index 上得 68.1 分，略高于 Claude Code 配 Claude Opus 5.5（max）的 66.0 分。每任务成本为 9.01 美元对 13.04 美元，平均耗时 55 分钟对 65 分钟。三项基准中，DeepSWE v1.1 为 72.6% 对 68.4%，SWE-Atlas-QnA 为 69.6% 对 66.4%，Terminal-Bench 4.0 为 62.1% 对 63.1%。成本按 API 逐 token 计费，不含订阅价格。
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Devin Fusion with Claude Opus 5.5 (max) and a GPT-6 Luna (high) sidekick scores 68 on the Coding Agent Index, 2 points above Claude Code with Opus 5.5 (max) at 31% lower cost per task
@cognition's Devin Fusion runs a frontier lead model alongside a lower-cost sidekick model. The two work in parallel with their own context and tools, with the lead keeping planning, delegation and final review. We benchmarked Devin Fusion CLI with Claude Opus 5.5 (max) + GPT-6 Luna (high).
It scores 68.1 on the Artificial Analysis Coding Agent Index, closely matched at the top with Claude Code with Claude Sonnet 5.5 (max) at 68.4 and Muse Code with Muse Wonder Full (max) at 68.0. Against Claude Code with Claude Opus 5.5 (max) at 66.0, it costs $9.01 vs. $13.04 per task and averages 55 vs. 65 minutes per task.
Across the three benchmarks, the Fusion configuration scores higher on DeepSWE v1.1 (72.6% vs. 68.4%) and SWE-Atlas-QnA (69.6% vs. 66.4%) and slightly lower on Terminal-Bench 4.0 (62.1% vs. 63.1%). Its results reflect both models working together, including their combined API cost. Costs are pay-per-token API costs, not subscription prices.