Agent Arena 数据：Gemini 4 Carbon 成本扩展性优于竞品
Arena 拿真实智能体会话算了一笔账：任务越难，Gemini 4 Carbon 越省钱，Astra 和 Opus 5.5 贵出三四倍，选错模型账单差很多。
Agent Arena 发布的模型成本对比显示，Google 的 Gemini 4 Carbon 在任务复杂度上升时的相对成本优势扩大。对于典型任务，OpenAI 的 GPT-6 Astra 成本是 Carbon 的 3.4 倍，Anthropic 的 Claude Opus 5.5 是 3.9 倍，GPT-6.1 Sol 则约为 Carbon 的 0.54 倍。在最贵的 5% 会话中，Astra 相对成本约翻倍，Opus 升至 4.2 倍，Sol 的折扣收窄。在高成本会话区，Gemini 4 Argon 和 Xiaomi 的 MiMo-V2.6 Flash、Pro 也在排行榜上抢占名额。过去两周有超过 1,000 个会话成本超过 100 美元，模型选择的差异对最终账单影响可观。
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. Your browser does not support the video tag. 🔗 View on Twitter Arena.ai @arena As tasks get more complex, @GoogleDeepMind and @XiaomiMiMo are the biggest winners in the Agent Arena. On cheaper tasks, @OpenAI and @AnthropicAI hold 10 of the 11 frontier spots. On the most expensive 5% of sessions, they hold just 7. The freed spots go to Google’s Gemini 4 Argon and Xiaomi’s MiMo-V2.6 Flash and Pro. These shifts matter as sessions costing $100 or more are not uncommon across real-world use cases coming from Agent Arena. Even within the last 2 weeks, more than 1,000 sessions crossed that boundary, and choosing a suboptimal model might have had a meaningful impact on that final bill. Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 4 🔄 1 ❤️ 27 👀 3420 📊 5 ⚡
