Claude Opus 5.5

Evidence in the last complete seven days

Source mentions

2

Previous seven days 6

Distinct sources

1

Previous 2

Comparable growth

Not comparable

Ranking appearances

0

Collection observations and undated records are separate from dated publication counts. Observed in 7d：2 · Undated records：1

Daily history · up to 90 days

Bars show dated source mentions. The latest UTC day may be incomplete. Zero mentions and missing collection coverage are different conditions.

Dotted markers indicate days with no record. They are not counted as zero mentions.

Source evidence

Sources in the evidence shown：OpenRouter 1 · V2EX 7 · Simon Willison 3

1. OpenRouter · Published Not supplied

   Claude Opus 5.5 (Max, Default Fallback)

2. V2EX · Published Nov 4, 2026

   [问与答] 反重力这么拉的吗？

   一个 word 文件要转换成 pdf ，让 cursor 弄（调用 claude opus5.5 ），12s 完成 反重力（调用 gemini 4 argon ），一步步操作，一共用了 4m 差距这么大的吗？是使用方法问题还是？

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3. V2EX · Published Oct 31, 2026

   [分享创造] 撸了一个马里奥赛车的翻版小游戏，欢迎大家试玩给反馈

   Claude Opus 5.5 设计文档 + Sonnet 5.5 执行开发 整个开发耗时大概一周多一点，白嫖了 Claude 的云主机额度，预计消耗 token 差不多 1B 欢迎大家试玩反馈，感谢！

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4. V2EX · Published Oct 26, 2026

   [推广] [推广] Kimi K3.1 Pro 发布了，编程 Agent 能力逼近 Opus 5.5？ TokVi 继续送免费 Token

   V 友们好，最近 AI 模型更新得是真快。 前两天还在跟大家分享 Claude Opus 5.5 、Sonnet 5.5 ，结果 Kimi K3.1 Pro 也正式发布了。 这次 Kimi 有几个点挺值得关注的： 100 万 Token 上下文，适合处理大型代码库、长文档 Terminal-Bench 4.0 官方公布得分 65.7%，接近 Claude Opus 5.5 的 66.4% 同时发布 Highspeed 版本，官方称输出速度提升约 2–3 倍 更侧重 Coding 、Agent 和复杂任务处理 当然，跑分归跑分，真正放进 Claude Code 、Coding Agent 或实际项目里，效果怎么样还得自己测。 我们在做的 TokVi 是一个多模型 API 接入平台，目前提供 Kimi 、DeepS

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5. V2EX · Published Oct 26, 2026

   [推广] 🥭 芒果 AI｜ 程序员省钱指南：跑分涨了，账单别涨——DeepSeek 和 Kimi 都能低价跑

   🥭 程序员省钱指南：跑分涨了，账单别涨——DeepSeek 和 Kimi 都能低价跑 一句话结论：DeepSeek-4.1-Flash 1017 编程和终端 Agent 有提升； Kimi K3.1 Pro 在终端编程基准上逼近 Claude Opus 5.5 ，API 定价只有 Opus 的一半。想低成本试这两个模型，芒果 AI 国产模型 0.05 折起，新用户先送 1 元额度。 你是不是也这样？ 修 Bug 修到凌晨，想让 AI 看终端报错，结果模型绕半天 写小工具时，代码生成、改错、跑命令来回切，Token 悄悄烧完 看上了更强的模型，一看 API 价格又把手缩回来 想跑自动化 Agent ，又怕高频调用把预算打穿 这次有两个模型值得放进你的候选名单。 DeepSeek-4.1-Flash 1017：日

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6. V2EX · Published Oct 24, 2026

   [推广] Kimi K3.1Pro 吉吉 API 第一时间上线， 国产 top1，比肩 GPT-6 Astra 和 Claude Opus 5.5，欢迎 V 佬来品，新用户回复送体验鸡蛋。

   吉吉 api https://www.jiji.cc 回复送体验额度。 同步接入月之暗面（ Moonshot AI ）刚刚发布的 3 万亿级参数新一代旗舰模型 —— Kimi K3.1 Pro ！ 不少朋友一直在问：这个模型到底有多强？普通人用起来有什么明显感觉？我们用一组真实客观的对比数据带大家看懂： 📊 权威战绩：它相当于什么水平？ 直接叫板全球顶级闭源 AI 超越 GPT-6 Astra：在衡量 AI 处理真实复杂长任务的权威国际测试（ Terminal-Bench 4.0 ）中，K3.1 Pro 拿下了 65.7% 的高分，直接超越了 GPT-6 Astra （ 58.2%）！ 紧咬 Claude 顶级旗舰：该成绩仅略逊于公认的最强编程模型 Claude Opus 5.5 （ 66.4%），差距不到

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7. Simon Willison · Published Oct 24, 2026

   battledrones v14: Compass Rose, a four player map

   Release: battledrones v14: Compass Rose, a four player map I added four player online mode to Battledrones - previous maps were limited to two. Here's the initial prompt I used: Add a new map for a four player battle - four way rotational symmetry, up to four AI players, works with the WebSocket non-audio based multiplayer mode so up to four human players ca

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8. Simon Willison · Published Oct 23, 2026

   Quick Study

   Tool: Quick Study Prompt to Claude Opus 5.5 High : Build an artifact where you open a photo and it rapidly (in a few seconds) paints a version of that photo using a canvas element and simulated paintbrush See also my previous experiment getting Claude Fable to simulate a watercolor illustration with P5.js. Quick Study uses Sobel edge detection , with no exte

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9. Simon Willison · Published Oct 23, 2026

   Introducing Kimi K3.1 Pro

   Introducing Kimi K3.1 Pro Kimi K3.1 Pro landed on the Kimi API today - it's not yet open weights, but Moonshot promise "Full model weights will be released by Nov 4, 2026". They're also offering a "Highspeed" version that's 2-3x faster, at twice the price (except for input token cache hits, which are priced the same). The US dollar pricing is $2.00/million t

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10. V2EX · Published Oct 12, 2026

    [分享创造] 用 Claude Opus 5.5 做了个动效视频工具，哪里不满意只改哪里，不用整条重新生成

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11. V2EX · Published Oct 11, 2026

    [推广] [再次狂送 $15 满血 Claude Token，企业级中转站迎新] Xiu.AI 已全面支持 Claude Opus 5.5、GPT-6 Sol & Luna、DeepSeek-v4 等满血模型，企业级稳定保障！欢迎体验测试~

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Review priority 45 / 100

This score orders research candidates. It is not search volume, a forecast or verified commercial demand.

• Evidence

  12.7 / 30

  Distinct dated articles or first observations; repeat crawling adds nothing.

• Publisher diversity

  8 / 25

  Conservative owner grouping; syndicated copies count once.

• Comparable change

  0 / 20

  Comparable complete weeks only; no percentage from a zero baseline.

• Recent evidence

  15 / 15

  Latest publication or first observation, not repeated fetch time.

• Name specificity

  9.4 / 10

  Explicit entities and technical concepts outrank ambiguous acronyms.

Limitations and interpretation

• First observation is a collection milestone, not proof that a word or product is new to the world.
• Counts describe monitored public sources, not the whole web or search demand.
• First observed here is not the invention date of a name or idea.
• Candidates come from public titles, summaries and entity URLs, not verified full-text analysis.
• Owner grouping is conservative; undisclosed syndication may remain.
• Undated observations cannot establish publication growth.
• Repeat ranking appearances are observations, not new articles or independent endorsements.
• Both weeks need adequate, comparable collection coverage.
• Sources behind this term changed or lack a comparable baseline.
• Recent evidence includes collection over three days after publication.
• Current evidence comes from one publisher or owner.