Deepseek4.1-flash
Name variants deepseek 4.1 flash
客户发来 figma,一个 PC/H5 兼容的网站，几个静态页面+一个 CMS 客户几年前找我做过类似的，收了他 4000 。 但是今天，我用 AI ，1 个小时做完加部署。 用的还是 workbuddy 里面最便宜的 deepseek 4.1 flash,只耗费大约 50 个积分。 那我要给他报价多少呢？纠结.... 我想就收他 500 意思一下算了 figma 截图 对话了三次（合并成一次对话估计也没啥问题） https://www.figma.com/design/xxxxx/ chrome 浏览器已经打开了设计图，请帮我把每一份设计图都作为图片导出到 docs 目录 整理和重命名图片，规划一下如何显示这样的网页 创建基于 nextjs 的前端项目，目录 web ，只做渲染 SSR ，数据接口全部使用 m
This explanation quotes or summarizes the cited source record. Saving creates a bookmark on this device, with no automatic account sync.
- First observed in our collection
- Oct 28, 2026, 2:45 AM UTC
- Earliest cited publication
- Oct 28, 2026, 2:44 AM UTC
- Last observed
- Nov 3, 2026, 7:30 PM UTC
Evidence in the last complete seven days
- Source mentions
- 2 Previous seven days 1
- Distinct sources
- 1 Previous 1
- Comparable growth
- Not comparable
- Ranking appearances
- 0
Collection observations and undated records are separate from dated publication counts. Observed in 7d：2 · Undated records：0
Collection coverage · Limited historyCurrent / previous observed days 7 / 3
Counts use complete UTC days. First observed means first seen by this collection, not when a term was coined.
Current window：2026-10-29 → 2026-11-05 (end excluded) · History 11 days
| Source | Current days | Previous days | Last success |
|---|---|---|---|
| arXiv | 6 | 3 | Nov 5, 2026, 10:00 AM UTC |
| arXiv | 7 | 2 | Nov 5, 2026, 10:01 AM UTC |
| Ask HN | 7 | 3 | Nov 5, 2026, 3:00 PM UTC |
| Ask HN | 7 | 3 | Nov 5, 2026, 2:30 PM UTC |
| Ask HN | 7 | 3 | Nov 5, 2026, 3:00 PM UTC |
| Ask HN | 7 | 3 | Nov 5, 2026, 3:00 PM UTC |
| GitHub | 7 | 3 | Nov 5, 2026, 12:15 PM UTC |
| GitHub Issues | 7 | 3 | Nov 5, 2026, 10:01 AM UTC |
| GitHub Releases | 7 | 1 | Nov 5, 2026, 12:00 PM UTC |
| GitHub | 7 | 3 | Nov 5, 2026, 2:30 PM UTC |
| GitHub Issues | 7 | 3 | Nov 5, 2026, 10:01 AM UTC |
| GitHub Releases | 7 | 3 | Nov 5, 2026, 3:14 PM UTC |
| GitHub | 7 | 3 | Nov 5, 2026, 2:30 PM UTC |
| GitHub Issues | 7 | 3 | Nov 5, 2026, 10:01 AM UTC |
| GitHub Releases | 7 | 3 | Nov 5, 2026, 3:14 PM UTC |
| GitHub Discovery | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| GitHub Trending | 7 | 3 | Nov 5, 2026, 3:14 PM UTC |
| 7 | 2 | Nov 5, 2026, 10:00 AM UTC | |
| Hugging Face | 7 | 2 | Nov 5, 2026, 8:15 AM UTC |
| Hugging Face Spaces | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| Hacker News | 7 | 3 | Nov 5, 2026, 12:45 PM UTC |
| Hacker News | 7 | 3 | Nov 5, 2026, 3:30 PM UTC |
| Hacker News | 7 | 3 | Nov 5, 2026, 3:30 PM UTC |
| Hacker News | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| Show HN | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| MIT News | 7 | 2 | Nov 5, 2026, 10:01 AM UTC |
| OpenAI | 7 | 3 | Nov 5, 2026, 11:30 AM UTC |
| Product Hunt | 7 | 3 | Nov 5, 2026, 12:45 PM UTC |
| 量子位 | 7 | 3 | Nov 4, 2026, 10:15 AM UTC |
| OpenRouter | 0 | 0 | Nov 5, 2026, 3:41 PM UTC |
| Hugging Face Models | 0 | 0 | Nov 5, 2026, 3:41 PM UTC |
| HF Daily Papers | 0 | 0 | Nov 5, 2026, 3:41 PM UTC |
| OpenRouter | 0 | 0 | Nov 5, 2026, 3:41 PM UTC |
| SEC EDGAR | 7 | 3 | Nov 5, 2026, 10:30 AM UTC |
| Sequoia Capital | 7 | 2 | Nov 5, 2026, 10:00 AM UTC |
| Simon Willison | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| TechCrunch | 7 | 3 | Nov 5, 2026, 2:30 PM UTC |
| Contracts Finder | 7 | 3 | Nov 5, 2026, 10:00 AM UTC |
| V2EX | 7 | 3 | Nov 5, 2026, 2:30 PM UTC |
- Counts describe monitored public sources, not the whole web or search demand.
- Both weeks need adequate, comparable collection coverage.
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.
View accessible daily data
| UTC date | Mentions | Sources | Observations | Ranking appearances |
|---|---|---|---|---|
| 2026-10-22 | 0 | 0 | 0 | 0 |
| 2026-10-23 | 0 | 0 | 0 | 0 |
| 2026-10-24 | 0 | 0 | 0 | 0 |
| 2026-10-25 | 0 | 0 | 0 | 0 |
| 2026-10-26 | 0 | 0 | 0 | 0 |
| 2026-10-27 | 0 | 0 | 0 | 0 |
| 2026-10-28 | 1 | 1 | 1 | 0 |
| 2026-10-29 | 1 | 1 | 1 | 0 |
| 2026-10-30 | 0 | 0 | 0 | 0 |
| 2026-10-31 | 0 | 0 | 0 | 0 |
| 2026-11-01 | 0 | 0 | 0 | 0 |
| 2026-11-02 | 0 | 0 | 0 | 0 |
| 2026-11-03 | 1 | 1 | 1 | 0 |
| 2026-11-04 | 0 | 0 | 0 | 0 |
| 2026-11-05 | 0 | 0 | 0 | 0 |
![Source reference for [分享创造] AI 时代 外包如何报价. Screenshot not yet available.](/media/4e44757466a561b8e81b709c)
Source evidence
Sources in the evidence shown：V2EX 3
V2EX · Published Nov 3, 2026
[分享创造] AI 时代 外包如何报价
客户发来 figma,一个 PC/H5 兼容的网站，几个静态页面+一个 CMS 客户几年前找我做过类似的，收了他 4000 。 但是今天，我用 AI ，1 个小时做完加部署。 用的还是 workbuddy 里面最便宜的 deepseek 4.1 flash,只耗费大约 50 个积分。 那我要给他报价多少呢？纠结.... 我想就收他 500 意思一下算了 figma 截图 对话了三次（合并成一次对话估计也没啥问题） https://www.figma.com/design/xxxxx/ chrome 浏览器已经打开了设计图，请帮我把每一份设计图都作为图片导出到 docs 目录 整理和重命名图片，规划一下如何显示这样的网页 创建基于 nextjs 的前端项目，目录 web ，只做渲染 SSR ，数据接口全部使用 m
View source record →V2EX · Published Oct 29, 2026
[问与答] DeepSeek 的雷霆大思考我怎么感觉是 dsh 的问题?使用体感上我感觉单任务完成时间比 zcode 里多很多
最近完全切换到 dsh 完成工作了, 体感上一次性任务时间明显拉长了好多. 此前一些工作任务和开发任务, 使用 zcode 我体感上他最久 1 个小时也就完成了, 现在使用 dsh, 即使是上下文有内容, dsh 也能做到 1 个小时起步. 随便一个任务, 我忙一圈了看一下进度它还在干活, 动辄 1 个小时起步. 有时候甚至一个半小时, 我体感上感觉 dsh 接入 deepseek 4.1 flash 的雷霆大思考完全是 dsh 引起的. 甚至我就用的默认的标准模式. 不知道是我哪里配置的问题, 还是怎么回事. 有人有类似的使用感受吗?
View source record →V2EX · Published Oct 28, 2026
[推广] 🥭 芒果 AI｜国产模型 0.05 折 [Deepseek4.1-flash。kimi-k3.1-pro] ，低价 API，适合大 Token 量用户
🥭 芒果 AI ｜国产模型 0.05 折起，Token 放开用，别再为 API 账单肉疼 AI 越用越多，API 账单能不能别涨那么快？ 写代码、跑 Agent 、批量处理任务、调用 AI 生图……现在用 AI ，真正花钱的往往不是问一两个问题，而是每天大量调用。 模型能力很重要，但如果每次请求都要精打细算，很多自动化任务也很难放开跑。 所以，芒果 AI 想解决的就是一件事：让你用更低的成本，调用更多 Token 。 🥭 价格够低，才敢放心多用 国产模型低至 0.05 折起，适合高频调用和日常开发。 DeepSeek 、Kimi 、GLM 等模型，一个 API 入口按需选择。 新用户注册送 1 元体验额度，先用再决定。 AI 生图 ¥0.015 起，高质量档 ¥0.15 起。 哪些场景适合？ AI 编程：
View source record →
Review priority 41 / 100
This score orders research candidates. It is not search volume, a forecast or verified commercial demand.
Evidence
12.7 / 30Distinct dated articles or first observations; repeat crawling adds nothing.
Publisher diversity
8 / 25Conservative owner grouping; syndicated copies count once.
Comparable change
0 / 20Comparable complete weeks only; no percentage from a zero baseline.
Recent evidence
13 / 15Latest publication or first observation, not repeated fetch time.
Name specificity
7.2 / 10Explicit 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.
- Both weeks need adequate, comparable collection coverage.
- Sources behind this term changed or lack a comparable baseline.
- The previous week is too small for a reliable percentage change.
- Current evidence comes from one publisher or owner.