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Gemini 4 Carbon 对比 Claude Opus 5.5：任务成本低 23%

DeepLearning.AI@DeepLearningAI
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Why we picked it

DeepLearning.AI 拆了 Gemini 4 Carbon 和 Claude Opus 5.5 的真实账单：单价一样，Carbon 每任务省 23%，还在 AA 独立榜单以 59 分排第一。按 token 付费的人选型前应该看看这笔账。

DeepLearning.AI 在 The Batch 中对比了 Google 的 Gemini 4 Carbon 与 Anthropic 的 Claude Opus 5.5。两者按 token 计价相同（Carbon 的 intro discount 除外），但 Carbon 在每任务上平均少用 29% 的输出 token，整体每任务成本降低 23%。

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效率差异是这次对比的核心：同样的单价下，Carbon 因为输出更精简，实际完成任务花费更少。在 Artificial Analysis 的独立 Intelligence Index 排行中，Carbon 以 59 分位列第一。

对按量付费的开发者和企业来说，这份对比说明单价相近的旗舰模型，实际账单可能因 token 用量拉开差距，选型时应参考每任务成本而非每 token 价格。

Original · DeepLearning.AI

Gemini 4 Carbon vs. Claude Opus 5.5: Same price per token (not counting Carbon’s intro discount). Carbon uses 29% fewer output tokens. Carbon has 23% lower cost per task. Carbon is #1 on AA’s independent Intelligence Index (59). Read the full story in The Batch, our weekly AI newsletter: 📬 deeplearning.ai/the-batch/gemi… p #DeepLearningAI I #AIEngineering g #LLMs s📊 7 ⚡

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison and AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Gemini 4 Carbon, Claude Opus 5.5, DeepLearning.AI, 推理模型.

Source attribution: curated from DeepLearning.AI (@DeepLearningAI). Cross-source corroboration: 11 independent sources have covered this development (including Meta AI, 宝玉, TestingCatalog), confirming industry-wide signal strength.

#Gemini 4 Carbon#Claude Opus 5.5#DeepLearning.AI#推理模型#成本对比

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