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Vals AI tests multi-agent teams: 1.8x to 5.1x the cost, limited quality gain
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What happened
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On October 11, 2026, The Decoder reported on a Vals AI evaluation of the cost and quality trade-offs of multi-agent teams. Vals AI tested GPT-6 Sol and Claude Opus 5.5 on Vibe Code Bench, comparing agent teams against single agents. Teams cost 1.8 to 5.1 times as much as a single agent, with limited quality improvement. The report gives no per-model quality scores or cost breakdown.
Written by AI from the coverage · updated 2 hours ago
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Oct 11
- The DecoderAI agent teams waste massive tokens for barely measurable quality gains, research finds
Vals AI 在 Vibe Code Bench 上测试 GPT-6 Sol 和 Claude Opus 5.5，智能体团队成本为单智能体的 1.8x 至 5.1x，质量收益有限。
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