Highlights
Google 刚刚公布了 Gemini 2.5 Pro 的 API 定价，这是他们迄今为止最贵的 AI 模型。对于不超过 20 万 tokens 的提示，输入成本为每百万 tokens $1.25，输出则是每百万 tokens $10。
这一定价虽然高于 Google 自家的其他模型和一些竞争对手的产品，但实际上比 Anthropic 的 Claude 3.7 Sonnet 和 OpenAI 的 GPT-4.5 要便宜不少。开发者社区对此反应积极，认为这是合理的价格点。
有趣的是，我们正看到顶级 AI 模型价格的普遍上涨趋势，而非下降。这可能是由于强劲的市场需求和高昂的计算成本所致。据 Google CEO Pichai 透露，Gemini 2.5 Pro 是公司开发者中需求最高的 AI 模型，仅本月就带来了 AI Studio 平台和 Gemini API 使用量 80% 的增长。
Image Credits: Andrey Rudakov/Bloomberg / Getty Images
On Friday, Google released API pricing for Gemini 2.5 Pro, an AI reasoning model with industry-leading performance on several benchmarks measuring coding, reasoning, and math.
周五，Google 发布了 Gemini 2.5 Pro 的 API 定价，这是一款在编程、推理和数学等多项基准测试中表现领先的 AI 推理模型。
For prompts up to 200,000 tokens, Gemini 2.5 Pro costs $1.25 per million input tokens (roughly 750,000 words, longer than the entire “Lord of The Rings” series) and $10 per million output tokens. For prompts greater than 200,000 tokens (which most of Google’s competitors don’t support), Gemini 2.5 Pro costs $2.50 per million input tokens and $15 per million output tokens.
对于不超过 200,000 tokens 的提示，Gemini 2.5 Pro 的价格为每百万输入 tokens $1.25（约 750,000 个单词，比整个《指环王》系列还长）和每百万输出 tokens $10。对于超过 200,000 tokens 的提示（大多数 Google 的竞争对手都不支持），Gemini 2.5 Pro 的价格为每百万输入 tokens $2.50 和每百万输出 tokens $15。
That pricing makes Gemini 2.5 Pro more expensive for developers than any other AI model currently offered by Google, including Gemini 2.0 Flash ($0.10/million input tokens, $0.40/million output tokens). It also makes Gemini 2.5 Pro more expensive than several other frontier AI models, such as OpenAI’s o3-mini ($1.10/million input tokens, $4.40/million output tokens) and DeepSeek’s R1 ($0.55/million input tokens, $2.19/million output tokens).
这一定价使 Gemini 2.5 Pro 成为 Google 目前提供的所有 AI 模型中对开发者来说最昂贵的，包括 Gemini 2.0 Flash（每百万输入 tokens $0.10，每百万输出 tokens $0.40）。它也比其他几个前沿 AI 模型更昂贵，如 OpenAI 的 o3-mini（每百万输入 tokens $1.10，每百万输出 tokens $4.40）和 DeepSeek 的 R1（每百万输入 tokens $0.55，每百万输出 tokens $2.19）。
To be fair, Gemini 2.5 Pro, which is available for free with strict rate limits, comes in cheaper than some other highly competitive models, including Anthropic’s Claude 3.7 Sonnet ($3/million input tokens, $15/million output tokens) and OpenAI’s GPT-4.5 ($75/million input tokens, $150/million output tokens). The tech industry’s initial reaction has been largely positive, with developers praising what they perceive to be sensible rates.
公平地说，Gemini 2.5 Pro（在严格的速率限制下可免费使用）比其他一些高度竞争的模型更便宜，包括 Anthropic 的 Claude 3.7 Sonnet（每百万输入 tokens $3，每百万输出 tokens $15）和 OpenAI 的 GPT-4.5（每百万输入 tokens $75，每百万输出 tokens $150）。科技行业的初步反应基本上是积极的，开发者们称赞这是合理的价格。
But broadly speaking, there seems to be some upward pressure on pricing for flagship models. The cost of recent top-of-the-line releases from labs like Google, OpenAI, and Anthropic has been going up, not down. See, for example, OpenAI’s recently launched o1-pro, which is the company’s most expensive API offering yet at $150/million input tokens and $600/million output tokens.
但从广义上讲，旗舰模型的定价似乎存在一些上行压力。来自 Google、OpenAI 和 Anthropic 等实验室的最新顶级产品的成本正在上升，而非下降。例如，OpenAI 最近推出的 o1-pro，是该公司迄今为止最昂贵的 API 产品，每百万输入 tokens $150，每百万输出 tokens $600。
It could be that high demand and computing costs are driving the trend. According to Google CEO Sundar Pichai, Gemini 2.5 Pro is the company’s most in-demand AI model among developers, leading to an 80% increase in usage in Google’s AI Studio platform and the Gemini API this month alone.
这可能是由于高需求和计算成本推动了这一趋势。根据 Google CEO Sundar Pichai 的说法，Gemini 2.5 Pro 是该公司在开发者中需求最高的 AI 模型，仅本月就导致 Google 的 AI Studio 平台和 Gemini API 使用量增加了 80%。
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