[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-deepseek-v4-the-open-source-model-that-just-made-1-million-tokens-routine":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":95,"popular_news":152,"categories":222},{"title":72,"description":73,"meta_title":72,"meta_description":74,"meta_keywords":75,"text":76,"slug":77,"created_at":78,"publish_at":79,"formatted_created_at":80,"category_id":46,"links":81,"view_type":86,"video_url":87,"views":69,"likes":88,"lang":89,"comments_count":88,"category":90},"DeepSeek-V4: The Open-Source Model That Just Made 1 Million Tokens Routine","DeepSeek has dropped the preview of DeepSeek-V4 — a direct, no-compromise open-source challenger to Claude, GPT-5, and Gemini.","DeepSeek has dropped the preview of DeepSeek-V4 — a direct, no-compromise open-source challenger to Claude, GPT-5, and Gemini","A truly intelligent 1B-parameter model with perfect database access may be closer than most people think.","\u003Cp>DeepSeek has dropped the preview of \u003Cstrong>DeepSeek-V4\u003C/strong> — a direct, no-compromise open-source challenger to Claude, GPT-5, and Gemini. \u003C/p>\n\n\u003Cp>If this model had landed in January 2026, it would have been called a generational leap. In late April, it’s simply “the new king of open-source.” And that’s exactly why it matters: V4 isn’t flashy hype — it’s a meticulously engineered platform built on every major architectural breakthrough of the past year. The kind of base model that fine-tuning teams will turn into frontier-beaters in months, not years.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Two Versions, One Clear Strategy\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>DeepSeek released two variants right out of the gate:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>V4-Pro\u003C/strong> — the 1.6-trillion-parameter flagship. Built for heavy reasoning, competitive coding, and serious agentic workflows.\u003C/li>\n\t\u003Cli>\u003Cstrong>V4-Flash\u003C/strong> — the 284-billion-parameter speed demon. Faster and dramatically cheaper, yet still smarter than most previous-generation giants.\u003C/li>\n\u003C/ul>\n\n\u003Cp>Both share the same core DNA, but Flash is aggressively optimized for production and cost-sensitive use cases.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Real Headline: 1 Million Tokens That Actually Work\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-04-27t112744747.webp\" type=\"image/webp\">\u003Cimg alt=\"DeepSeek-V4: The Open-Source Model That Just Made 1 Million Tokens Routine\" class=\"image-align-left\" height=\"372\" src=\"https://cdn.quasa.io/photos/0001/image-2026-04-27t112744747.jpg\" width=\"250\" />\u003C/picture>\u003C/strong>Everyone now claims million-token context. Almost nobody delivers it at usable speed and cost.\u003C/p>\n\n\u003Cp>\u003Cstrong>DeepSeek solved the three classic problems:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>4× lower compute**\u003C/strong> on 1M-token context compared to DeepSeek-V3.2;\u003C/li>\n\t\u003Cli>\u003Cstrong>10× smaller KV-cache memory footprint;\u003C/strong>\u003C/li>\n\t\u003Cli>Flash version goes even further: just \u003Cstrong>10 %\u003C/strong> of the compute and \u003Cstrong>7 %\u003C/strong> of the memory of the previous generation.\u003C/li>\n\u003C/ul>\n\n\u003Cp>All of this runs efficiently even on affordable Huawei Ascend processors. Long-context AI just stopped being a premium feature and became table stakes. For anyone building agents or working with massive document corpora, this is a genuine economic reset.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Three Thinking Modes That Actually Change Behavior\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>DeepSeek introduced explicit reasoning modes that go beyond simple temperature tweaks:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>Non-think\u003C/strong> — instant answers for simple queries;\u003C/li>\n\t\u003Cli>\u003Cstrong>Think High\u003C/strong> — deep analysis, planning, and multi-step reasoning;\u003C/li>\n\t\u003Cli>\u003Cstrong>Think Max\u003C/strong> — maximum effort mode. The model writes out every step, stress-tests hypotheses, and refuses to take shortcuts.\u003C/li>\n\u003C/ul>\n\n\u003Cp>Crucially, \u003Cstrong>Think Max\u003C/strong> now preserves the entire reasoning history between user turns (a major upgrade from V3.2, where it was discarded). Combined with reliable 1M context, this makes V4-Pro a far stronger foundation for long-running autonomous agents.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Benchmarks: Frontier Pressure, Not Quite Frontier Lead\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-04-27t112746716.webp\" type=\"image/webp\">\u003Cimg alt=\"DeepSeek-V4: The Open-Source Model That Just Made 1 Million Tokens Routine\" class=\"image-align-right\" height=\"447\" src=\"https://cdn.quasa.io/photos/0001/image-2026-04-27t112746716.jpg\" width=\"300\" />\u003C/picture>The numbers tell a story of steady, relentless progress:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>Competitive Coding\u003C/strong>: Codeforces rating \u003Cstrong>3206\u003C/strong> — 23rd place among living human programmers worldwide. First time an open-source model has reached parity with the closed frontier (roughly GPT-5.4 level).\u003C/li>\n\t\u003Cli>\u003Cstrong>Mathematics\u003C/strong>: HMMT 2026 — \u003Cstrong>95.2\u003C/strong>, IMOAnswerBench — **89.8**. Beats the majority of closed models.\u003C/li>\n\t\u003Cli>\u003Cstrong>Knowledge\u003C/strong>: SimpleQA Verified — \u003Cstrong>57.9\u003C/strong> (Opus 4.6 scores 46.2; Gemini 3.1 Pro still leads at 75.6).\u003C/li>\n\t\u003Cli>\u003Cstrong>General Reasoning\u003C/strong>: Trails GPT-5.4 and Gemini 3.1 Pro by roughly 3–6 months, but sits comfortably at the edge of the frontier.\u003C/li>\n\t\u003Cli>\u003Cstrong>Internal R&D Coding\u003C/strong>: 67 % success rate — sits between Sonnet 4.5 (47 %) and Opus 4.5 (70 %).\u003C/li>\n\u003C/ul>\n\n\u003Cp>More importantly, the model was explicitly trained on real enterprise workflows: data analysis, report generation, document editing, and iterative tool use (web search, code execution, etc.). In DeepSeek’s internal evaluation, \u003Cstrong>V4-Pro-Max\u003C/strong> outperformed Opus 4.6-Max on \u003Cstrong>63 %\u003C/strong> of realistic tasks — largely because it proactively adds verification steps and delivers coherent narratives instead of bullet-point dumps.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Internal Poll at DeepSeek Says It All\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>When 85 of their own developers were asked whether they would switch to V4-Pro as their primary coding model:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>52 % said yes immediately;\u003C/li>\n\t\u003Cli>39 % said they are leaning strongly toward yes;\u003C/li>\n\t\u003Cli>Less than 9 % said no.\u003C/li>\n\u003C/ul>\n\n\u003Cp>That’s not marketing spin — that’s engineers who have been living with the model for months.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Deeper Story: Architecture Over Raw Scale\u003C/strong>\u003C/h4>\n\n\u003Cp>The real lesson of V4 isn’t another line on a leaderboard. It’s that \u003Cstrong>smart architectural innovations\u003C/strong> (sparse attention, FP4 quantization, hybrid KV-cache, and more) now deliver more performance than simply throwing more parameters at the problem. V4-Flash activates only ~13 billion parameters during inference yet routinely beats models several times its size.\u003C/p>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-04-27t112748981.webp\" type=\"image/webp\">\u003Cimg alt=\"DeepSeek-V4: The Open-Source Model That Just Made 1 Million Tokens Routine\" class=\"image-align-left\" height=\"432\" src=\"https://cdn.quasa.io/photos/0001/image-2026-04-27t112748981.jpg\" width=\"290\" />\u003C/picture>This is exactly the direction many experts have been predicting: the future belongs to relatively small, extremely efficient models paired with massive, high-quality retrieval and tool-use layers. A truly intelligent 1B-parameter model with perfect database access may be closer than most people think.\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/sierra-ai-just-reinvented-the-software-engineering-interview-and-it-s-brilliant\">Sierra AI Just Reinvented the Software Engineering Interview — And It’s Brilliant\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/hey-ceo-who-can-t-stop-asking-chatgpt-for-strategy-advice-hbr-just-dropped-the-receipts\">Hey CEO Who Can’t Stop Asking ChatGPT for Strategy Advice — HBR Just Dropped the Receipts\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/francois-chollet-s-radical-new-definition-of-agi-it-s-not-about-automation-it-s-about-human-like-skill-acquisition\">François Chollet’s Radical New Definition of AGI: It’s Not About Automation — It’s About Human-Like Skill Acquisition\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/chatbots-and-the-crazies-danish-study-confirms-what-we-all-suspected-chatgpt-is-rocket-fuel-for-psychosis\">Chatbots and the Crazies: Danish Study Confirms What We All Suspected — ChatGPT Is Rocket Fuel for Psychosis\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Why This Matters for the Entire Industry\u003C/strong>\u003C/h4>\n\n\u003Cp>DeepSeek continues its signature playbook: \u003Ca href=\"https://quasa.io/media/huawei-s-moon-mode-scandal-the-forgotten-2019-ai-fake-that-suddenly-feels-nostalgic-as-huawei-prepares-to-power-deepseek-v4\">identify the best ideas across the ecosystem, combine them ruthlessly, and ship them for free while others charge enterprise premiums\u003C/a>. They aren’t “overtaking everyone” in one dramatic leap — they’re methodically closing the gap, month after month.\u003C/p>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/photo_2026-04-27_11-23-57.webp\" type=\"image/webp\">\u003Cimg  alt=\"DeepSeek-V4: The Open-Source Model That Just Made 1 Million Tokens Routine\" class=\"image-align-center\" height=\"296\" src=\"https://cdn.quasa.io/photos/0001/photo_2026-04-27_11-23-57.jpg\" width=\"400\" />\u003C/picture>\u003C/p>\n\n\u003Cp>And that steady pressure is precisely what keeps the closed labs honest. Every time an open-source model like V4 makes million-token context cheap and reliable, it forces OpenAI, Anthropic, and Google to rethink their pricing and product strategy.\u003C/p>\n\n\u003Cp>The age of “good enough” closed models dominating every use case is ending. The age of open, efficient, long-context intelligence that anyone can run, fine-tune, or build agents on has begun.\u003C/p>\n\n\u003Cp>Welcome to DeepSeek-V4.  \u003Cbr />\nThe open-source frontier just moved — again.\u003C/p>","deepseek-v4-the-open-source-model-that-just-made-1-million-tokens-routine","2026-04-27T09:31:03.000000Z","2026-04-29T09:20:00.000000Z","29.04.2026",{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/tbCZ87Xbns1do1OzsCcVqR7Hyb5TxUo0d57URt3Z.jpg","https://cdn.quasa.io/images/news/tbCZ87Xbns1do1OzsCcVqR7Hyb5TxUo0d57URt3Z.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/tbCZ87Xbns1do1OzsCcVqR7Hyb5TxUo0d57URt3Z.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/tbCZ87Xbns1do1OzsCcVqR7Hyb5TxUo0d57URt3Z.webp","small",null,0,"en",{"id":46,"title":47,"slug":48,"meta_title":91,"meta_description":92,"meta_keywords":92,"deleted_at":87,"created_at":93,"updated_at":94,"lang":89},"Artificial Intelligence | AI Breakthroughs, Agents & Tools | QUASA","Artificial Intelligence, ai, ml, machine learning, chatgpt, future","2024-09-22T08:08:27.000000Z","2026-04-22T14:56:34.000000Z",[96,110,113,125,138],{"title":97,"description":98,"slug":99,"created_at":100,"publish_at":101,"formatted_created_at":80,"category":102,"links":103,"view_type":86,"video_url":87,"views":108,"likes":88,"lang":89,"comments_count":88,"is_pinned":109},"Grok Voice Think Fast 1.0: The $3/Hour Voice AI That’s About to Replace Entire Call Centers","xAI just released Grok Voice Think Fast 1.0 — and the economics of voice AI have officially broken.","grok-voice-think-fast-1-0-the-3-hour-voice-ai-that-s-about-to-replace-entire-call-centers","2026-04-27T09:48:30.000000Z","2026-04-29T11:36:00.000000Z",{"title":58,"slug":63},{"image":104,"image_webp":105,"thumb":106,"thumb_webp":107},"https://cdn.quasa.io/images/news/CaLws6TKSTHgTelvUiTRfEcaVyOIWzXu77AvSM8G.jpg","https://cdn.quasa.io/images/news/CaLws6TKSTHgTelvUiTRfEcaVyOIWzXu77AvSM8G.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/CaLws6TKSTHgTelvUiTRfEcaVyOIWzXu77AvSM8G.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/CaLws6TKSTHgTelvUiTRfEcaVyOIWzXu77AvSM8G.webp",2,false,{"title":72,"description":73,"slug":77,"created_at":78,"publish_at":79,"formatted_created_at":80,"category":111,"links":112,"view_type":86,"video_url":87,"views":69,"likes":88,"lang":89,"comments_count":88,"is_pinned":109},{"title":47,"slug":48},{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},{"title":114,"description":115,"slug":116,"created_at":117,"publish_at":118,"formatted_created_at":80,"category":119,"links":120,"view_type":86,"video_url":87,"views":22,"likes":88,"lang":89,"comments_count":88,"is_pinned":109},"OpenAI’s $10B DeployCo Play: Turning Private Equity Portfolios into an Enterprise AI Launchpad","OpenAI has just made its boldest move yet to crack the enterprise market. Instead of relying on traditional sales teams or pure software licensing, the company is betting big on implementation — and it’s doing so through a massive new joint venture called DeployCo.","openai-s-10b-deployco-play-turning-private-equity-portfolios-into-an-enterprise-ai-launchpad","2026-04-27T09:17:47.000000Z","2026-04-29T06:05:00.000000Z",{"title":43,"slug":44},{"image":121,"image_webp":122,"thumb":123,"thumb_webp":124},"https://cdn.quasa.io/images/news/FTRf04i8FQ4x4ILvUmSbpmzrD6LzgCZHmqpnMqUj.jpg","https://cdn.quasa.io/images/news/FTRf04i8FQ4x4ILvUmSbpmzrD6LzgCZHmqpnMqUj.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/FTRf04i8FQ4x4ILvUmSbpmzrD6LzgCZHmqpnMqUj.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/FTRf04i8FQ4x4ILvUmSbpmzrD6LzgCZHmqpnMqUj.webp",{"title":126,"description":127,"slug":128,"created_at":129,"publish_at":130,"formatted_created_at":80,"category":131,"links":132,"view_type":86,"video_url":87,"views":137,"likes":88,"lang":89,"comments_count":88,"is_pinned":109},"ComfyUI Cracks Open Real Human Faces in Seedance 2.0 — But Is It Really Fixed?","Anyone who has spent time wrestling with Seedance 2.0 in ComfyUI knows the pain. The model is incredibly powerful — cinematic camera control, native audio sync, buttery motion — but the built-in censorship made generating videos with actual human faces a nightmare.","comfyui-cracks-open-real-human-faces-in-seedance-2-0-but-is-it-really-fixed","2026-04-27T09:02:16.000000Z","2026-04-29T03:50:00.000000Z",{"title":27,"slug":28},{"image":133,"image_webp":134,"thumb":135,"thumb_webp":136},"https://cdn.quasa.io/images/news/isioWpVV24Sw2xRNu9cnOgRXYy28g1ASNCW254ZX.jpg","https://cdn.quasa.io/images/news/isioWpVV24Sw2xRNu9cnOgRXYy28g1ASNCW254ZX.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/isioWpVV24Sw2xRNu9cnOgRXYy28g1ASNCW254ZX.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/isioWpVV24Sw2xRNu9cnOgRXYy28g1ASNCW254ZX.webp",46,{"title":139,"description":140,"slug":141,"created_at":142,"publish_at":143,"formatted_created_at":144,"category":145,"links":146,"view_type":86,"video_url":87,"views":151,"likes":88,"lang":89,"comments_count":88,"is_pinned":109},"Sierra AI Just Reinvented the Software Engineering Interview — And It’s Brilliant","Sierra AI — the enterprise AI startup co-founded by Bret Taylor (OpenAI board chairman and former Co-CEO of Salesforce) — just published a quietly revolutionary blog post titled The AI-native interview.","sierra-ai-just-reinvented-the-software-engineering-interview-and-it-s-brilliant","2026-04-23T17:49:41.000000Z","2026-04-28T11:39:00.000000Z","28.04.2026",{"title":19,"slug":20},{"image":147,"image_webp":148,"thumb":149,"thumb_webp":150},"https://cdn.quasa.io/images/news/DJ894jC3gLB6PUzLn5skZgOEm7fBiFooBdGQUwpC.jpg","https://cdn.quasa.io/images/news/DJ894jC3gLB6PUzLn5skZgOEm7fBiFooBdGQUwpC.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/DJ894jC3gLB6PUzLn5skZgOEm7fBiFooBdGQUwpC.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/DJ894jC3gLB6PUzLn5skZgOEm7fBiFooBdGQUwpC.webp",135,[153,165,181,193,208],{"title":154,"description":155,"slug":156,"created_at":157,"publish_at":158,"formatted_created_at":159,"category":160,"links":161,"view_type":86,"video_url":87,"views":164,"likes":108,"lang":89,"comments_count":88,"is_pinned":109},"The Anatomy of an Entrepreneur","Entrepreneur is a French word that means an enterpriser. Enterprisers are people who undertake a business or enterprise with the chance of earning profits or suffering from loss.","the-anatomy-of-an-entrepreneur","2021-08-04T15:18:21.000000Z","2025-12-14T06:09:00.000000Z","14.12.2025",{"title":65,"slug":66},{"image":162,"image_webp":87,"thumb":163,"thumb_webp":163},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",72088,{"title":166,"description":167,"slug":168,"created_at":169,"publish_at":170,"formatted_created_at":171,"category":172,"links":173,"view_type":178,"video_url":87,"views":179,"likes":180,"lang":89,"comments_count":88,"is_pinned":109},"Advertising on QUASA","QUASA MEDIA is read by more than 400 thousand people a month. We offer to place your article, add a link or order the writing of an article for publication.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2025-12-15T17:33:02.000000Z","15.12.2025",{"title":58,"slug":63},{"image":174,"image_webp":175,"thumb":176,"thumb_webp":177},"https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","large",71869,4,{"title":182,"description":183,"slug":184,"created_at":185,"publish_at":186,"formatted_created_at":187,"category":188,"links":189,"view_type":86,"video_url":87,"views":192,"likes":180,"lang":89,"comments_count":88,"is_pinned":109},"What is a Startup?","A startup is not a new company, not a tech company, nor a new tech company. You can be a new tech company, if your goal is not to grow high and fast; then, you are not a startup. ","what-is-a-startup","2021-08-04T12:05:17.000000Z","2025-12-17T13:02:00.000000Z","17.12.2025",{"title":65,"slug":66},{"image":190,"image_webp":87,"thumb":191,"thumb_webp":191},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",69454,{"title":194,"description":195,"slug":196,"created_at":197,"publish_at":198,"formatted_created_at":199,"category":200,"links":201,"view_type":86,"video_url":87,"views":206,"likes":108,"lang":89,"comments_count":207,"is_pinned":109},"Top 5 Tips to Make More Money as a Content Creator","Content creators are one of the most desired job titles right now. Who wouldn’t want to earn a living online?","top-5-tips-to-make-more-money-as-a-content-creator","2022-01-17T17:31:51.000000Z","2026-01-17T11:30:00.000000Z","17.01.2026",{"title":19,"slug":20},{"image":202,"image_webp":203,"thumb":204,"thumb_webp":205},"https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp",43349,1,{"title":209,"description":210,"slug":211,"created_at":212,"publish_at":213,"formatted_created_at":214,"category":215,"links":216,"view_type":178,"video_url":87,"views":221,"likes":108,"lang":89,"comments_count":88,"is_pinned":109},"8 Logo Design Tips for Small Businesses","Your logo tells the story of your business and the values you stand for.","8-logo-design-tips-for-small-businesses","2021-12-04T21:59:52.000000Z","2025-05-05T03:30:00.000000Z","05.05.2025",{"title":15,"slug":16},{"image":217,"image_webp":218,"thumb":219,"thumb_webp":220},"https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp",42363,[223,224,225,226,227,228,229,230,231,232,233,234,235],{"title":23,"slug":24},{"title":47,"slug":48},{"title":55,"slug":56},{"title":43,"slug":44},{"title":51,"slug":52},{"title":31,"slug":32},{"title":35,"slug":36},{"title":27,"slug":28},{"title":19,"slug":20},{"title":15,"slug":16},{"title":58,"slug":63},{"title":11,"slug":12},{"title":65,"slug":66}]