Agent Arena 分析显示 Gemini 4 Carbon 长任务成本优势扩大

原标题:Our recent Agent Arena analysis found that Gemini 4 Carbon by @GoogleDeepMind becomes more cost-comp...
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Arena.ai 的 Agent Arena 分析显示,随着任务复杂度提升,Gemini 4 Carbon 相对 GPT-6 Astra 与 Claude Opus 5.5 的成本优势持续扩大。典型任务中 Astra 成本约为 Carbon 的 3.4 倍、Opus 5.5 约为 3.9 倍,而在最贵的 5% 会话中 Opus 升至 4.2 倍、Astra 成本近乎翻倍。该结论对长周期智能体任务的成本规划具有参考价值。

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Arena.ai (@arena) · 2026-11-10 19

Our recent Agent Arena analysis found that Gemini 4 Carbon by @GoogleDeepMind becomes more cost-competitive as tasks get more demanding.

Its savings relative to GPT-6 Astra and Claude Opus 5.5 grow on the most expensive sessions.

↳ 引用 @arena (Arena.ai): Models by @GoogleDeepMind scale better on cost than their rivals.

Gemini 4 Carbon is the prime example. As tasks get more demanding, every rival gets more expensive relative to Carbon.

For a typical task, GPT-6 Astra by @OpenAI costs 3.4× as much, Claude Opus 5.5 by @AnthropicAI costs 3.9× as much, and GPT-6.1 Sol is the cheaper option at about half of Carbon’s cost (0.54×).

Across the 5% most expensive sessions, Carbon’s position improves against all three. Opus edges up to 4.2×, Astra’s cost roughly doubles relative to Carbon, and Sol’s discount shrinks.

This in turn can translate into meaningful savings across real-world tasks such as building an Android security app, one of many long-horizon tasks that our Agent Arena users delegate to their agents.