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English(EN) Sonnet vs Haiku vs Opus on critique.flashcards: When To Reach For Which

Anthropic 的 Claude Sonnet、Haiku、Opus 模型在成本和速度上的比较

Anthropic 的 Claude 模型 Sonnet、Haiku 和 Opus 进行了为期 90 天、使用 904 次调用来完成 critique.flashcards 任务的技术比较。Sonnet 和 Haiku 的每次调用成本相同,但 Sonnet 通过显著的提示缓存实现了这一点,而 Haiku 则对所有 token 收取全额费用。Opus 是速度最快且每次调用成本最高的模型,其缓存率与 Sonnet 相似。Haiku 在六天后被停止使用,Sonnet 和 Opus 继续使用,当提示缓存有效时,Sonnet 因成本效益而成为首选。 AI

影响 提供了 Anthropic Claude 模型在成本和性能权衡方面的见解,帮助开发者为特定用例选择最合适的选项。

排序理由 对现有模型在特定任务上的比较分析。[lever_c_demoted from research: ic=1 ai=1.0]

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 →

Anthropic 的 Claude Sonnet、Haiku、Opus 模型在成本和速度上的比较

本文如何被排名

Signal score
41 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
对现有模型在特定任务上的比较分析。[lever_c_demoted from research: ic=1 ai=1.0]
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) · Robert ·

    Sonnet vs Haiku vs Opus on critique.flashcards:何时选择哪一个

    <p>If you are building a flashcard critique step and trying to pick between Sonnet, Haiku and Opus, the choice is not as simple as picking the cheapest model. Two of the three landed at the same cost per call, and the reason they did is different enough to matter.</p> <p>We ran t…