[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-google-s-gemini-3-6-flash-3-5-flash-lite-and-flash-cyber-what-changes":45,"article-ads":208},{"data":4},[5,32,39],{"name":6,"slug":7,"categories":8},"Technology","tech",[9,12,16,20,24,28],{"id":10,"title":6,"slug":11},28,"technology",{"id":13,"title":14,"slug":15},37,"Creator Economy","creator-economy",{"id":17,"title":18,"slug":19},20,"Work","work",{"id":21,"title":22,"slug":23},22,"Finance","finance",{"id":25,"title":26,"slug":27},31,"YouTube Blog","youtube-blog",{"id":29,"title":30,"slug":31},21,"For newbies","for-newbies",{"name":33,"slug":34,"categories":35},"News","news",[36],{"id":37,"title":33,"slug":38},18,"quasanews",{"name":40,"slug":41,"categories":42},"Business","business",[43],{"id":44,"title":40,"slug":41},16,{"post":46,"published_news":74,"popular_news":128,"categories":199},{"title":47,"description":48,"meta_title":49,"meta_description":50,"meta_keywords":51,"text":52,"slug":53,"created_at":54,"publish_at":55,"formatted_created_at":56,"category_id":10,"links":57,"view_type":62,"video_url":63,"views":64,"likes":65,"lang":66,"comments_count":65,"category":67},"Google’s Gemini 3.6 Flash, 3.5 Flash-Lite and Flash Cyber: What Changes","Google’s July 21 release adds a more efficient workhorse model, a lower-cost high-throughput variant and a restricted cybersecurity specialist. Here is how developers and enterprises should evaluate the new Gemini lineup.","Gemini 3.6 Flash vs Flash-Lite and Flash Cyber","A practical guide to Google’s July 2026 Gemini release: model roles, pricing, availability, security limits and migration tests.","Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, Gemini 3.5 Flash Cyber, Google AI models, AI agent costs, Gemini API, CodeMender","\u003Cp>Google’s July 21, 2026 release adds three Gemini models with different jobs: \u003Cstrong>Gemini 3.6 Flash\u003C/strong> for general production workloads, \u003Cstrong>Gemini 3.5 Flash-Lite\u003C/strong> for high-volume tasks where latency and price matter most, and \u003Cstrong>Gemini 3.5 Flash Cyber\u003C/strong> for vulnerability discovery and remediation inside the CodeMender security workflow. The practical change is not simply another model number; it is a clearer attempt to make model selection depend on workload economics and risk.\u003C/p>\n\u003Cp>For most developers, 3.6 Flash is the starting point for coding, knowledge work, agents and multimodal tasks, while Flash-Lite is the better candidate for classification, extraction, routing and document-processing pipelines. Flash Cyber is not a generally available API choice: Google says it will initially be offered only to governments and trusted partners through a limited-access CodeMender pilot. These availability and positioning details come from \u003Ca href=\"https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber/\" target=\"_blank\" rel=\"nofollow noopener\">Google’s July 21 announcement\u003C/a>.\u003C/p>\n\u003Ch3>What Google released and why the split matters\u003C/h3>\n\u003Cp>The release creates three distinct operating profiles rather than one universal successor. Google describes 3.6 Flash as its workhorse, Flash-Lite as the fastest and most cost-effective model in the 3.5 series, and Flash Cyber as a specialized model paired with CodeMender. \u003Ca href=\"https://www.axios.com/2026/07/21/google-gemini-ai-models\" target=\"_blank\" rel=\"nofollow noopener\">Independent reporting from Axios\u003C/a> likewise characterizes the launch as a set of cheaper, efficiency-focused models aimed at different enterprise workloads.\u003C/p>\n\u003Cp>That structure matters because the cost of an AI feature is determined by more than a benchmark score. A customer-support router that handles millions of short inputs has different requirements from an agent that edits a repository, calls tools and interprets screenshots. A security system that can identify exploitable weaknesses also needs a deployment policy that accounts for dual-use risk. Google is therefore presenting the family as a portfolio: capability, throughput and access control are separate decisions.\u003C/p>\n\u003Ch3>Gemini 3.6 Flash is the general production default\u003C/h3>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/images/news/lVZFkfYvpregAQM9bDz31XnTnNBLfsKSnh04FJfI.webp\" type=\"image/webp\">\u003Cimg class=\"image-align-left\" src=\"https://cdn.quasa.io/images/news/lVZFkfYvpregAQM9bDz31XnTnNBLfsKSnh04FJfI.png\" alt=\"AI agent анализирует репозиторий, мультимодальные данные и выполняет точечные изменения кода\" width=\"300\">\u003C/picture>\n\u003Cp>Choose 3.6 Flash when the application needs a broad mix of coding, reasoning, document analysis, computer use or multimodal interpretation. Google reports that the model uses 17% fewer output tokens than Gemini 3.5 Flash on the Artificial Analysis Index and says it completes some multi-step workflows with fewer reasoning steps and tool calls. Those are vendor-reported measurements, so they should be treated as signals for evaluation rather than as a guarantee for every workload.\u003C/p>\n\u003Cp>Google lists pricing of $1.50 per million input tokens and $7.50 per million output tokens for 3.6 Flash, and says the model costs less per output token than 3.5 Flash. The same announcement reports higher results than 3.5 Flash on selected evaluations, including DeepSWE for coding, OSWorld-Verified for computer use and GDPval-AA v2 for knowledge work. Because these comparisons depend on prompts, harnesses and benchmark versions, a production decision should still use representative tasks from your own application.\u003C/p>\n\u003Cp>In practical terms, 3.6 Flash is a reasonable first candidate for:\u003C/p>\n\u003Cul>\n\u003Cli>coding assistants that need to inspect and modify files;\u003C/li>\n\u003Cli>agents that combine text with screenshots, charts or structured business documents;\u003C/li>\n\u003Cli>research and operations workflows that require several tool calls;\u003C/li>\n\u003Cli>multimodal drafting, analysis and data interpretation where a Lite model may be too constrained.\u003C/li>\n\u003C/ul>\n\u003Cp>Do not interpret “workhorse” as “best for everything.” If the workflow mostly performs short, repetitive decisions, paying for a broader model can add cost without improving the user-visible result.\u003C/p>\n\u003Ch3>Flash-Lite targets throughput, latency and predictable unit economics\u003C/h3>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/images/news/86fcaHAOTL9lvb3vXuKlCmbieuEhVrvvlwcnNtd6.webp\" type=\"image/webp\">\u003Cimg class=\"image-align-right\" src=\"https://cdn.quasa.io/images/news/86fcaHAOTL9lvb3vXuKlCmbieuEhVrvvlwcnNtd6.png\" alt=\"Поток документов проходит быструю классификацию и преобразуется в структурированные данные\" width=\"300\">\u003C/picture>\n\u003Cp>Flash-Lite is the model to investigate first for large volumes of relatively simple requests. Google lists a price of $0.30 per million input tokens and $2.50 per million output tokens, and reports 350 output tokens per second according to the Artificial Analysis Index. Google Cloud documentation describes the model as optimized for simple coding, precise document understanding and lightweight agentic workflows that require fast inference at minimal cost.\u003C/p>\n\u003Cp>The model supports different thinking levels, which lets developers trade quality and reasoning effort against latency and token output. The documentation recommends minimal thinking for latency-sensitive classification, routing and JSON extraction, while medium or high thinking is more appropriate when Flash-Lite acts as an autonomous subagent that writes code, runs commands or calls external APIs. This distinction is operationally important: a low-cost model can become unreliable if it is asked to perform a multi-step task with the least reasoning configuration.\u003C/p>\n\u003Cp>Useful Flash-Lite candidates include receipt and invoice extraction, document labeling, translation at scale, moderation queues, search-result triage and structured-output enrichment. A practical way to estimate its value is to measure cost per completed business action, not cost per request. Retries, validation calls, human review and downstream tool failures can erase a token-price advantage.\u003C/p>\n\u003Cp>Developers should also inspect compatibility before switching. Google Cloud’s model documentation notes that custom temperature, top-K and top-P values are not supported in the same way as in some earlier Gemini models, and that certain frequency and presence penalty settings can produce errors. Existing clients should therefore be tested for parameter handling, structured-output behavior and error recovery before a production migration.\u003C/p>\n\u003Ch3>Flash Cyber is a restricted security system, not a cheaper security chatbot\u003C/h3>\n\u003Cp>Gemini 3.5 Flash Cyber is designed for a specific security workflow: finding, validating and helping patch software vulnerabilities. Google says the model is built on 3.5 Flash, fine-tuned for cybersecurity vulnerability work and used within CodeMender, where multiple agents contribute to a combined report. The company also describes the model as reaching competitive frontier performance on the CyberGym benchmark, but that claim comes from Google and should be independently validated before it influences a high-risk deployment.\u003C/p>\n\u003Cp>Access is deliberately limited. Google says Flash Cyber will be available exclusively to governments and trusted partners through a limited-access pilot, reflecting the dual-use nature of vulnerability research. Axios reports the same initial restriction and places the model in a broader enterprise-security strategy. For ordinary developers, the actionable conclusion is simple: do not design a near-term product roadmap around direct public access to this model.\u003C/p>\n\u003Cp>Organizations that may qualify should treat access as a governance and integration question, not just a model-selection question. Before onboarding, clarify what repositories can be scanned, how findings are validated, who approves patches, how secrets are isolated and how generated changes are reviewed. Vulnerability discovery can accelerate remediation, but an automated patch that introduces a new defect or changes security boundaries without approval creates a different risk.\u003C/p>\n\u003Cp>For teams without Flash Cyber access, the safer current pattern is to use established static analysis, dependency scanning and human-reviewed remediation workflows, with a generally available model assisting documentation or low-risk code explanations. Any AI-generated fix should be applied in an isolated branch, tested against regression suites and reviewed by a qualified engineer.\u003C/p>\n\u003Ch3>Availability is different for each model\u003C/h3>\n\u003Cp>Google says 3.6 Flash and 3.5 Flash-Lite are available from July 21 through the Gemini API, Google AI Studio and Android Studio. The announcement also lists enterprise access through Gemini Enterprise Agent Platform, with 3.6 Flash additionally available in the Gemini Enterprise app. Both models are available in the Gemini app, while Flash-Lite is rolling out in Google Search.\u003C/p>\n\u003Cp>Google Cloud’s documentation lists Gemini 3.5 Flash-Lite with the model ID \u003Ccode>gemini-3.5-flash-lite\u003C/code>, a July 21 release date and general-availability status. It also lists a context window of 1,048,576 tokens, a maximum output of 65,536 tokens and support for structured output, function calling, code execution and URL context. These are platform specifications, not a promise that every surface exposes every capability identically, so check the API or product-specific documentation for the environment you plan to use.\u003C/p>\n\u003Cp>There is still no public Gemini 3.5 Pro in this announcement. Google says that model is being tested with partners and will become broadly available when ready, while the company has started pre-training Gemini 4. The absence of Pro makes the new Flash variants more strategically important: for now, the public-facing lineup emphasizes fast, deployable systems rather than a newly announced flagship.\u003C/p>\n\u003Ch3>How to choose between 3.6 Flash and Flash-Lite\u003C/h3>\n\u003Cp>Start with the consequence of an error and the shape of the workload. If a wrong answer can be caught cheaply by a deterministic validator, Flash-Lite may be a strong candidate. If the task requires planning across tools, interpreting varied inputs or making precise code changes, begin with 3.6 Flash and then test whether a Lite model can handle a defined subset.\u003C/p>\n\u003Col>\n\u003Cli>Separate your traffic into task classes instead of sending every request to one model.\u003C/li>\n\u003Cli>Build a test set from real anonymized inputs, including ambiguous cases and failure-prone edge cases.\u003C/li>\n\u003Cli>Measure completion quality, latency, output tokens, retry rate, tool-call success and human-review load.\u003C/li>\n\u003Cli>Run both models with the same application constraints and compare the cost of a successfully completed task.\u003C/li>\n\u003Cli>Use routing rules so simple requests go to Flash-Lite while complex or high-impact requests go to 3.6 Flash.\u003C/li>\n\u003C/ol>\n\u003Cp>For example, an agent could use Flash-Lite to classify an incoming document and extract fields, then escalate only low-confidence or multi-document cases to 3.6 Flash. That is a conditional architecture, not a claim about guaranteed savings. The economics depend on escalation frequency, prompt length, validation overhead and the price terms available in your region and platform.\u003C/p>\n\u003Cp>If you are comparing model costs across providers, track both input and output tokens and account for caching, batch processing and tool execution. The broader pricing question is covered in \u003Ca href=\"https://quasa.io/media/why-ai-tokens-could-be-significantly-cheaper-if-the-bubble-bursts-even-though-providers-are-already-selling-below-cost\" target=\"_blank\" rel=\"nofollow noopener\">the changing economics of AI tokens\u003C/a>, but the same principle applies here: a low list price does not automatically mean a lower total operating cost.\u003C/p>\n\u003Ch3>What to test before moving production traffic\u003C/h3>\n\u003Cp>A model migration should be treated as a software release. Preserve a fixed evaluation set, record the old model’s outputs and define acceptable differences before changing the default. For agentic systems, test not only the final answer but also tool selection, argument correctness, stopping behavior and recovery after a failed call.\u003C/p>\n\u003Cul>\n\u003Cli>\u003Cstrong>Quality:\u003C/strong> factual accuracy, code correctness, extraction precision and refusal behavior.\u003C/li>\n\u003Cli>\u003Cstrong>Efficiency:\u003C/strong> input and output tokens, end-to-end latency and requests completed per minute.\u003C/li>\n\u003Cli>\u003Cstrong>Reliability:\u003C/strong> timeout rate, malformed structured output, retries and tool-call failures.\u003C/li>\n\u003Cli>\u003Cstrong>Safety:\u003C/strong> prompt-injection resistance, sensitive-data handling and access to external systems.\u003C/li>\n\u003Cli>\u003Cstrong>Operations:\u003C/strong> regional availability, quotas, logging, rollback and model-version policy.\u003C/li>\n\u003C/ul>\n\u003Cp>Pay particular attention to long-context claims. A large context window can reduce retrieval work, but it can also increase prompt cost and make irrelevant context easier to pass into an agent. Test whether shorter, curated context produces the same decision with fewer tokens and less latency.\u003C/p>\n\u003Ch3>The main mistakes to avoid\u003C/h3>\n\u003Cp>The first mistake is choosing by model name alone. “3.6” does not mean every response will be better than a lower-cost variant, and “Lite” does not mean it is unsuitable for all serious work. Match the model to task complexity, error impact and volume.\u003C/p>\n\u003Cp>The second mistake is treating benchmark numbers as a deployment guarantee. Google’s comparisons are useful for understanding intended strengths, but your prompts, tools, languages, documents and evaluation criteria may differ. The third mistake is allowing an AI model to change production code, permissions or security controls without staged review.\u003C/p>\n\u003Cp>Finally, avoid hard-coding undocumented assumptions about parameters and availability. Flash-Lite’s documented parameter differences are a reminder that migration involves API behavior as well as model quality. Pin the model identifier where possible, monitor changes and keep a rollback path.\u003C/p>\n\u003Ch3>A practical next step for July 2026\u003C/h3>\n\u003Cp>For a new general-purpose agent, prototype with 3.6 Flash. For high-volume classification, extraction or routing, benchmark 3.5 Flash-Lite first and escalate difficult cases. For cybersecurity teams, monitor the Flash Cyber pilot and continue using layered security tooling until access, controls and review procedures are clear.\u003C/p>\n\u003Cp>The useful decision this week is not whether one Gemini model is universally superior. It is whether your application should pay for broad capability on every request, or route predictable work to a faster and cheaper tier while reserving the larger operating budget and stronger controls for tasks that genuinely need them.\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/not-just-llms-google-s-new-specialized-models-for-raw-sensor-data-and-tabular-tables\">Not Just LLMs: Google’s New Specialized Models for Raw Sensor Data and Tabular Tables\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/july-2026-windows-server-security-updates-key-deployment-steps\">July 2026 Windows Server Security Updates: Key Deployment Steps\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/microsoft-july-2026-patch-tuesday-apply-kb5101650-for-windows-11-security-fixes\">Microsoft July 2026 Patch Tuesday: Apply KB5101650 for Windows 11 Security Fixes\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/grok-4-5-xai-model-for-coding-agents-and-knowledge-work\">Grok 4.5: xAI Model for Coding, Agents and Knowledge Work\u003C/a>\u003C/li>\n\u003C/ul>","google-s-gemini-3-6-flash-3-5-flash-lite-and-flash-cyber-what-changes","2026-07-22T19:21:35.000000Z","2026-07-23T02:41:00.000000Z","23.07.2026",{"image":58,"image_webp":59,"thumb":60,"thumb_webp":61},"https://cdn.quasa.io/images/news/hrpJSHTEBypIFDr3IhNE80aAVa2RwgVdXwJtRuad.png","https://cdn.quasa.io/images/news/hrpJSHTEBypIFDr3IhNE80aAVa2RwgVdXwJtRuad.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/hrpJSHTEBypIFDr3IhNE80aAVa2RwgVdXwJtRuad.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/hrpJSHTEBypIFDr3IhNE80aAVa2RwgVdXwJtRuad.webp","large",null,19,0,"en",{"id":10,"title":6,"slug":11,"meta_title":68,"meta_description":69,"meta_keywords":70,"show_on_homepage":71,"deleted_at":63,"created_at":72,"updated_at":73,"lang":66},"Discover the latest in AI, cybersecurity, research, and tech innovations. Fresh news, analysis, and breakthroughs from 2026 on QUASA Media","New technologies, discoveries, research, cybersecurity, inventions and releases from technology companies worldwide.","technology, discoveries, research, cybersecurity, inventions",true,"2023-03-23T08:15:32.000000Z","2026-07-21T19:29:29.000000Z",[75,88,101,104,116],{"title":76,"description":77,"slug":78,"created_at":54,"publish_at":79,"formatted_created_at":56,"category":80,"links":81,"view_type":62,"video_url":63,"views":86,"likes":65,"lang":66,"comments_count":65,"is_pinned":87},"NVIDIA Cosmos 3 Edge Brings Physical AI Reasoning to Jetson","NVIDIA’s 4B-parameter Cosmos 3 Edge is designed for real-time world modeling, robot policy generation, and vision reasoning on edge GPUs. Here is what developers can use now, where it fits, and what to validate before deployment.","nvidia-cosmos-3-edge-brings-physical-ai-reasoning-to-jetson","2026-07-23T04:41:00.000000Z",{"title":6,"slug":11},{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/rI6WwklHpkns9PrXEEwbD3jbw52XGCk23sd6XjiR.png","https://cdn.quasa.io/images/news/rI6WwklHpkns9PrXEEwbD3jbw52XGCk23sd6XjiR.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/rI6WwklHpkns9PrXEEwbD3jbw52XGCk23sd6XjiR.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/rI6WwklHpkns9PrXEEwbD3jbw52XGCk23sd6XjiR.webp",7,false,{"title":89,"description":90,"slug":91,"created_at":92,"publish_at":93,"formatted_created_at":56,"category":94,"links":95,"view_type":62,"video_url":63,"views":100,"likes":65,"lang":66,"comments_count":65,"is_pinned":87},"Fintech Venture Funding Rises 23% in H1 2026 to $28.6B","Global fintech startups raised $28.6 billion in the first half of 2026, even as deal volume fell sharply. The data points to a more concentrated market led by AI, financial infrastructure, stablecoins and tokenized real-world assets.","fintech-venture-funding-rises-23-in-h1-2026-to-28-6b","2026-07-22T07:57:09.000000Z","2026-07-23T02:55:00.000000Z",{"title":22,"slug":23},{"image":96,"image_webp":97,"thumb":98,"thumb_webp":99},"https://cdn.quasa.io/images/news/cPOOATq7sdzySWkZ720TwhFhnTUyBvfFmrp0JUDN.png","https://cdn.quasa.io/images/news/cPOOATq7sdzySWkZ720TwhFhnTUyBvfFmrp0JUDN.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/cPOOATq7sdzySWkZ720TwhFhnTUyBvfFmrp0JUDN.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/cPOOATq7sdzySWkZ720TwhFhnTUyBvfFmrp0JUDN.webp",17,{"title":47,"description":48,"slug":53,"created_at":54,"publish_at":55,"formatted_created_at":56,"category":102,"links":103,"view_type":62,"video_url":63,"views":64,"likes":65,"lang":66,"comments_count":65,"is_pinned":87},{"title":6,"slug":11},{"image":58,"image_webp":59,"thumb":60,"thumb_webp":61},{"title":105,"description":106,"slug":107,"created_at":92,"publish_at":108,"formatted_created_at":56,"category":109,"links":110,"view_type":62,"video_url":63,"views":115,"likes":65,"lang":66,"comments_count":65,"is_pinned":87},"Opendoor Completes Doma Acquisition to Lower Refinance Closing Costs","Opendoor completed its acquisition of Doma’s closing and escrow operations on July 20, 2026. The deal combines Doma’s automated title-risk decisioning with Opendoor’s closing platform and Fannie Mae’s Title Acceptance Program for eligible refinance贷款","opendoor-completes-doma-acquisition-to-lower-refinance-closing-costs","2026-07-23T01:55:00.000000Z",{"title":22,"slug":23},{"image":111,"image_webp":112,"thumb":113,"thumb_webp":114},"https://cdn.quasa.io/images/news/d3J4mDxeFbU8lOrrkiVu7NJm7JmaRe1gKuZGLhqQ.png","https://cdn.quasa.io/images/news/d3J4mDxeFbU8lOrrkiVu7NJm7JmaRe1gKuZGLhqQ.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/d3J4mDxeFbU8lOrrkiVu7NJm7JmaRe1gKuZGLhqQ.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/d3J4mDxeFbU8lOrrkiVu7NJm7JmaRe1gKuZGLhqQ.webp",23,{"title":117,"description":118,"slug":119,"created_at":92,"publish_at":120,"formatted_created_at":56,"category":121,"links":122,"view_type":62,"video_url":63,"views":127,"likes":65,"lang":66,"comments_count":65,"is_pinned":87},"24 Niche Micro-SaaS and AI Startup Ideas for Beginners in 2026","A practical shortlist of 24 low-competition micro-SaaS and AI product ideas for freelancers, small businesses, creators, and solo founders—with validation criteria, pricing logic, risks, and a lean launch plan.","24-niche-micro-saas-and-ai-startup-ideas-for-beginners-in-2026","2026-07-23T00:55:00.000000Z",{"title":30,"slug":31},{"image":123,"image_webp":124,"thumb":125,"thumb_webp":126},"https://cdn.quasa.io/images/news/5sHxfCTmit0vZFJnHKQTg0InGqnaQ0FbEAOlztHf.png","https://cdn.quasa.io/images/news/5sHxfCTmit0vZFJnHKQTg0InGqnaQ0FbEAOlztHf.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/5sHxfCTmit0vZFJnHKQTg0InGqnaQ0FbEAOlztHf.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/5sHxfCTmit0vZFJnHKQTg0InGqnaQ0FbEAOlztHf.webp",29,[129,144,158,170,185],{"title":130,"description":131,"slug":132,"created_at":133,"publish_at":134,"formatted_created_at":135,"category":136,"links":137,"view_type":62,"video_url":63,"views":142,"likes":143,"lang":66,"comments_count":65,"is_pinned":87},"Advertising on QUASA","Quasa Media is part of the QUASA ecosystem, which drives more than 100,000 new customers to reputable brands every month.\nWe partner with businesses of all sizes to deliver highly targeted advertising that reaches motivated users across our platforms.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2026-05-15T14:33:02.000000Z","15.05.2026",{"title":33,"slug":38},{"image":138,"image_webp":139,"thumb":140,"thumb_webp":141},"https://cdn.quasa.io/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.jpg","https://cdn.quasa.io/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.webp",83295,8,{"title":145,"description":146,"slug":147,"created_at":148,"publish_at":149,"formatted_created_at":150,"category":151,"links":152,"view_type":155,"video_url":63,"views":156,"likes":157,"lang":66,"comments_count":65,"is_pinned":87},"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":40,"slug":41},{"image":153,"image_webp":63,"thumb":154,"thumb_webp":154},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","small",81925,4,{"title":159,"description":160,"slug":161,"created_at":162,"publish_at":163,"formatted_created_at":164,"category":165,"links":166,"view_type":155,"video_url":63,"views":169,"likes":86,"lang":66,"comments_count":65,"is_pinned":87},"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":40,"slug":41},{"image":167,"image_webp":63,"thumb":168,"thumb_webp":168},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",80291,{"title":171,"description":172,"slug":173,"created_at":174,"publish_at":175,"formatted_created_at":176,"category":177,"links":178,"view_type":155,"video_url":63,"views":183,"likes":157,"lang":66,"comments_count":184,"is_pinned":87},"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","2026-05-18T19:10:00.000000Z","18.05.2026",{"title":18,"slug":19},{"image":179,"image_webp":180,"thumb":181,"thumb_webp":182},"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",49762,1,{"title":186,"description":187,"slug":188,"created_at":189,"publish_at":190,"formatted_created_at":191,"category":192,"links":193,"view_type":62,"video_url":63,"views":198,"likes":157,"lang":66,"comments_count":65,"is_pinned":87},"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":14,"slug":15},{"image":194,"image_webp":195,"thumb":196,"thumb_webp":197},"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",47896,[200,201,202,203,204,205,206,207],{"title":14,"slug":15},{"title":26,"slug":27},{"title":6,"slug":11},{"title":22,"slug":23},{"title":30,"slug":31},{"title":18,"slug":19},{"title":33,"slug":38},{"title":40,"slug":41},{"data":209},[210,235,243,255,279,297,316],{"id":211,"order":65,"created_at":212,"expired_at":213,"news_id":214,"post":215},81,"2025-10-19T20:19:39.000000Z","2026-10-19 20:19:16",12864,{"id":214,"title":216,"description":217,"slug":218,"created_at":219,"publish_at":220,"formatted_created_at":221,"category":222,"links":228,"view_type":62,"video_url":63,"views":233,"likes":234,"lang":66,"comments_count":63},"Earning Money Through Website Surfing: A Simple Way to Make Cryptocurrency","Many believe that earning cryptocurrency online requires special skills or expensive equipment. However, this is far from the truth. Website surfing, or browsing websites for rewards, is an accessible way to earn money or cryptocurrency with just a computer or smartphone and an internet connection.One of the easiest methods to generate income in the digital space is through website surfing. The tasks involved are so simple that virtually anyone can participate, regardless of experience or technical expertise.In this article, we’ll introduce you to a platform where you can start earning money and cryptocurrency through website surfing: Quasa Rewards.","earning-money-through-website-surfing-a-simple-way-to-make-cryptocurrency","2025-09-26T10:51:12.000000Z","2025-12-11T10:51:12.000000Z","11.12.2025",{"id":37,"title":33,"slug":38,"meta_title":223,"meta_description":224,"meta_keywords":225,"show_on_homepage":71,"deleted_at":63,"created_at":226,"updated_at":227,"lang":66},"Technology, AI, Space and Robotics News | QUASA","Important technology, AI, space and robotics news from the US, Europe, China, India and the rest of the world.","technology news, AI news, space, robotics, technology companies","2021-08-09T19:09:44.000000Z","2026-07-16T20:17:45.000000Z",{"image":229,"image_webp":230,"thumb":231,"thumb_webp":232},"https://cdn.quasa.io/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.jpg","https://cdn.quasa.io/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.webp",8081,3,{"id":236,"order":65,"created_at":237,"expired_at":238,"news_id":239,"post":240},86,"2026-06-07T14:36:10.000000Z","2029-06-07 14:35:45",4545,{"id":239,"title":130,"description":131,"slug":132,"created_at":133,"publish_at":134,"formatted_created_at":135,"category":241,"links":242,"view_type":62,"video_url":63,"views":142,"likes":143,"lang":66,"comments_count":63},{"id":37,"title":33,"slug":38,"meta_title":223,"meta_description":224,"meta_keywords":225,"show_on_homepage":71,"deleted_at":63,"created_at":226,"updated_at":227,"lang":66},{"image":138,"image_webp":139,"thumb":140,"thumb_webp":141},{"id":244,"order":65,"created_at":245,"expired_at":246,"news_id":247,"post":248},87,"2026-06-07T14:46:09.000000Z","2031-06-07 14:45:52",1229,{"id":247,"title":159,"description":160,"slug":161,"created_at":162,"publish_at":163,"formatted_created_at":164,"category":249,"links":254,"view_type":155,"video_url":63,"views":169,"likes":86,"lang":66,"comments_count":63},{"id":44,"title":40,"slug":41,"meta_title":250,"meta_description":251,"meta_keywords":252,"show_on_homepage":71,"deleted_at":63,"created_at":253,"updated_at":227,"lang":66},"Technology Business, Startups and Growth Strategies | QUASA","Technology business news, startups, entrepreneurship, growth strategies and emerging business models.","business, technology business, startups, strategy, growth","2021-08-03T10:59:17.000000Z",{"image":167,"image_webp":63,"thumb":168,"thumb_webp":168},{"id":256,"order":184,"created_at":257,"expired_at":258,"news_id":259,"post":260},92,"2026-06-07T15:05:49.000000Z","2033-06-07 15:05:26",13757,{"id":259,"title":261,"description":262,"slug":263,"created_at":264,"publish_at":265,"formatted_created_at":266,"category":267,"links":272,"view_type":155,"video_url":63,"views":277,"likes":278,"lang":66,"comments_count":63},"The State of Hybrid Freelance 2026: AI, Web3 and the Death of Traditional Work (Update June 2026)","New industry data from QUASA: How AI and Web3 are destroying traditional work in 2026. 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