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English(EN) I Priced the Same 51,000-Call Text Game on 4 Models. The Cheapest Bill Was $47.16

AI文本游戏成本差异巨大:OpenAI和Anthropic最便宜,仅需47美元

对运行AI文本游戏的API成本进行的比较显示,主要供应商之间的价格差异显著。使用51000次API调用的配置,OpenAI (GPT-6 Luna) 和 Anthropic (Claude Haiku 5.5) 的最便宜模型并列,价格为47.16美元,而Google的Gemini 3.5 Flash-Lite则高达167.52美元。成本的主要驱动因素被确定为输出令牌价格和缓存命中率,最便宜和最昂贵的选项之间的差距达到120美元。该分析承认存在局限性,例如排除了分类器调用和缓存写入附加费,但表明切换到最经济的模型可以大幅降低AI驱动应用程序的运营费用。 AI

影响 突出了LLM API使用中显著的成本差异,让开发者了解潜在的节省。

排序理由 对特定AI应用程序的API定价分析,而非新模型发布或重大行业事件。

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI文本游戏成本差异巨大:OpenAI和Anthropic最便宜,仅需47美元

本文如何被排名

Signal score
9 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
对特定AI应用程序的API定价分析,而非新模型发布或重大行业事件。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · AheadKit ·

    我为同一款51000次通话的文本游戏在4个模型上进行了定价。最便宜的账单是47.16美元

    <p>Last week Aliaksei Zelianouski published the bill for his AI Werewolf text game on dev.to: 51,000 API calls over 53 days, $337.21 out of his own pocket, $6.36 a day on average. A real game runs about 165 AI turns and costs him $1.49. His post is the rare kind where every numbe…