# 克劳德代币计数器，现已支持模型对比 - 来源：Hacker News 热门（buzzing.cc 中文翻译） - 作者：twapi - 发布时间：2026-04-20 17:17 - AIHOT 链接：https://aihot.virxact.com/items/cmo704x3200ossli5lepchop4 - 原文链接：https://simonwillison.net/2026/Apr/20/claude-token-counts ## AI 摘要 开发者Simon Willison发布的Claude Token Counter工具新增模型对比功能，支持用户直观比较不同版本Claude模型的token计数差异。该更新于2026年4月20日发布，可帮助开发者精确计算和优化API调用的token消耗，在Hacker News社区获得100个积分关注。 ## 正文 Simon Willison’s Weblog 20th April 2026 - Link Blog Claude Token Counter, now with model comparisons. I upgraded my Claude Token Counter tool to add the ability to run the same count against different models in order to compare them. As far as I can tell Claude Opus 4.7 is the first model to change the tokenizer, so it's only worth running comparisons between 4.7 and 4.6. The Claude token counting API accepts any Claude model ID though so I've included options for all four of the notable current models (Opus 4.7 and 4.6, Sonnet 4.6, and Haiku 4.5). In the Opus 4.7 announcement Anthropic said: Opus 4.7 uses an updated tokenizer that improves how the model processes text. The tradeoff is that the same input can map to more tokens—roughly 1.0–1.35× depending on the content type. Opus 4.7 uses an updated tokenizer that improves how the model processes text. The tradeoff is that the same input can map to more tokens—roughly 1.0–1.35× depending on the content type. I pasted the Opus 4.7 system prompt into the token counting tool and found that the Opus 4.7 tokenizer used 1.46x the number of tokens as Opus 4.6. Opus 4.7 uses the same pricing is Opus 4.6 - $5 per million input tokens and $25 per million output tokens - but this token inflation means we can expect it to be around 40% more expensive. The token counter tool also accepts images. Opus 4.7 has improved image support, described like this: Opus 4.7 has better vision for high-resolution images: it can accept images up to 2,576 pixels on the long edge (~3.75 megapixels), more than three times as many as prior Claude models. Opus 4.7 has better vision for high-resolution images: it can accept images up to 2,576 pixels on the long edge (~3.75 megapixels), more than three times as many as prior Claude models. I tried counting tokens for a 3456x2234 pixel 3.7MB PNG and got an even bigger increase in token counts - 3.01x times the number of tokens for 4.7 compared to 4.6: Update: That 3x increase for images is entirely due to Opus 4.7 being able to handle higher resolutions. I tried that again with a 682x318 pixel image and it took 314 tokens with Opus 4.7 and 310 with Opus 4.6, so effectively the same cost. Update 2: I tried a 15MB, 30 page text-heavy PDF and Opus 4.7 reported 60,934 tokens while 4.6 reported 56,482 - that's a 1.08x multiplier, significantly lower than the multiplier I got for raw text. Recent articles Publishing WASM wheels to PyPI for use with Pyodide - 13th June 2026 Claude Fable is relentlessly proactive - 11th June 2026 Initial impressions of Claude Fable 5 - 9th June 2026 This is a link post by Simon Willison, posted on 20th April 2026. Monthly briefing Sponsor me for $10/month and get a curated email digest of the month's most important LLM developments. Pay me to send you less! Disclosures Colophon © 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026