{"id":75,"date":"2026-04-11T17:31:15","date_gmt":"2026-04-11T07:31:15","guid":{"rendered":"https:\/\/www.evalue-it.com\/?p=75"},"modified":"2026-04-25T19:23:28","modified_gmt":"2026-04-25T09:23:28","slug":"ai-assistants-compared","status":"publish","type":"post","link":"https:\/\/www.evalue-it.com\/?p=75","title":{"rendered":"AI Assistants Compared \u2014 Architecture vs Marketecture"},"content":{"rendered":"\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"executive-summary\" class=\"wp-block-heading\">Executive Summary<\/h2>\n\n\n\n<p>The current wave of \u201cAI comparison charts\u201d (ChatGPT vs Gemini vs Claude vs others) are <strong>not wrong\u2014but they are not reliable<\/strong>.<\/p>\n\n\n\n<p>They conflate:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>products vs models<\/strong><\/li>\n\n\n\n<li><strong>capabilities vs positioning<\/strong><\/li>\n\n\n\n<li><strong>architecture vs marketecture<\/strong><\/li>\n<\/ul>\n\n\n\n<p>This article reframes the comparison using:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Reference architecture<\/strong><\/li>\n\n\n\n<li><strong>Evaluation criteria grounded in measurable capability<\/strong><\/li>\n\n\n\n<li><strong>Evidence-based benchmarks<\/strong><\/li>\n\n\n\n<li><strong>Clear separation of marketing claims vs technical reality<\/strong><\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n<h2 class=\"simpletoc-title\">Table of Contents<\/h2>\n<ul class=\"simpletoc-list\">\n<li><a href=\"#executive-summary\">Executive Summary<\/a>\n\n<\/li>\n<li><a href=\"#the-core-problem\">The Core Problem<\/a>\n\n<\/li>\n<li><a href=\"#reference-architecture-modern-ai-assistant\">Reference Architecture \u2014 Modern AI Assistant<\/a>\n\n<\/li>\n<li><a href=\"#key-insight\">Key Insight<\/a>\n\n<\/li>\n<li><a href=\"#where-each-system-actually-sits\">Where Each System Actually Sits<\/a>\n\n\n<ul><li>\n<a href=\"#%25f0%259f%259f%25a2-chatgpt-openai\">\ud83d\udfe2 ChatGPT (OpenAI)<\/a>\n\n<\/li>\n<li><a href=\"#%25f0%259f%2594%25b5-gemini-google\">\ud83d\udd35 Gemini (Google)<\/a>\n\n<\/li>\n<li><a href=\"#%25f0%259f%259f%25a3-claude-anthropic\">\ud83d\udfe3 Claude (Anthropic)<\/a>\n\n<\/li>\n<li><a href=\"#%25e2%259a%25ab-grok-xai\">\u26ab Grok (xAI)<\/a>\n\n<\/li>\n<li><a href=\"#%25f0%259f%2594%258d-perplexity\">\ud83d\udd0d Perplexity<\/a>\n\n<\/li>\n<li><a href=\"#%25f0%259f%259f%25a0-deepseek\">\ud83d\udfe0 DeepSeek<\/a>\n\n<\/li>\n<li><a href=\"#copilot-microsoft\">Copilot (Microsoft)<\/a>\n\n<\/li>\n<\/ul>\n<li><a href=\"#evaluation-criteria-a-better-approach\">Evaluation Criteria \u2014 A Better Approach<\/a>\n\n\n<ul><li>\n<a href=\"#model-capability-measured\">Model Capability (Measured)<\/a>\n\n<\/li>\n<li><a href=\"#orchestration-capability\">Orchestration Capability<\/a>\n\n<\/li>\n<li><a href=\"#context-amp-retrieval\">Context &amp; Retrieval<\/a>\n\n<\/li>\n<li><a href=\"#integration-ecosystem\">Integration Ecosystem<\/a>\n\n<\/li>\n<li><a href=\"#cost-amp-efficiency\">Cost &amp; Efficiency<\/a>\n\n<\/li>\n<li><a href=\"#reliability-amp-governance\">Reliability &amp; Governance<\/a>\n\n<\/li>\n<li><a href=\"#%25e2%259a%2596%25ef%25b8%258f-comparative-matrix\">\u2696\ufe0f Comparative Matrix<\/a>\n\n<\/li>\n<\/ul>\n<li><a href=\"#architecture-vs-marketecture\">Architecture vs Marketecture<\/a>\n\n\n<ul><li>\n<a href=\"#architecture-reality\">Architecture &#8211; Reality<\/a>\n\n<\/li>\n<li><a href=\"#%25f0%259f%258e%25ad-marketecture-narrative\">\ud83c\udfad Marketecture &#8211; Narrative<\/a>\n\n<\/li>\n<li><a href=\"#boundary-rule\">Boundary Rule<\/a>\n\n<\/li>\n<\/ul>\n<li><a href=\"#key-strategic-insight\">Key Strategic Insight<\/a>\n\n<\/li>\n<li><a href=\"#diagram-ecosystem-positioning\">Diagram \u2014 Ecosystem Positioning<\/a>\n\n<\/li>\n<li><a href=\"#practical-usage-guidance\">Practical Usage Guidance<\/a>\n\n\n<ul><li>\n<a href=\"#use-chatgpt-when\">Use ChatGPT when:<\/a>\n\n<\/li>\n<li><a href=\"#use-gemini-when\">Use Gemini when:<\/a>\n\n<\/li>\n<li><a href=\"#use-copilot-when\">Use Copilot when:<\/a>\n\n<\/li>\n<li><a href=\"#use-claude-when\">Use Claude when:<\/a>\n\n<\/li>\n<li><a href=\"#use-perplexity-when\">Use Perplexity when:<\/a>\n\n<\/li>\n<li><a href=\"#use-deepseek-when\">Use DeepSeek when:<\/a>\n\n<\/li>\n<\/ul>\n<li><a href=\"#references-amp-further-reading\">References &amp; Further Reading<\/a>\n\n<\/li>\n<li><a href=\"#final-takeaway\">Final Takeaway<\/a>\n<\/li><\/ul>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"the-core-problem\" class=\"wp-block-heading\">The Core Problem<\/h2>\n\n\n\n<p>Most comparisons:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>treat each system as a <strong>single thing<\/strong><\/li>\n\n\n\n<li>ignore <strong>model versioning<\/strong><\/li>\n\n\n\n<li>ignore <strong>tooling + orchestration layers<\/strong><\/li>\n\n\n\n<li>lack <strong>citations or benchmarks<\/strong><\/li>\n<\/ul>\n\n\n\n<p>\ud83d\udc49 Example flaw:<br>\u201cPerplexity = best for research\u201d<br>\u2192 In reality, it is a <strong>retrieval + UX layer over models<\/strong>, not a fundamentally different model.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"reference-architecture-modern-ai-assistant\" class=\"wp-block-heading\">Reference Architecture \u2014 Modern AI Assistant<\/h2>\n\n\n\n<p>A useful comparison starts with a shared mental model.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>+--------------------------------------------------+\n|                User Interface Layer              |\n| (Chat, IDE, Docs, API, Voice, Agents)           |\n+--------------------------------------------------+\n|              Orchestration Layer                |\n| (Prompting, Tools, Memory, Agents, Routing)     |\n+--------------------------------------------------+\n|              Model Layer                        |\n| (LLMs: GPT, Gemini, Claude, DeepSeek, etc.)     |\n+--------------------------------------------------+\n|         Retrieval \/ Context Layer               |\n| (Web, RAG, Enterprise data, vector stores)      |\n+--------------------------------------------------+\n|         Integration \/ Action Layer              |\n| (APIs, SaaS, Devices, workflows)                |\n+--------------------------------------------------+\n|              Governance Layer                   |\n| (Security, privacy, policy, alignment)          |\n+--------------------------------------------------+\n<\/code><\/pre>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"key-insight\" class=\"wp-block-heading\">Key Insight<\/h2>\n\n\n\n<p>\ud83d\udc49 Most \u201cAI products\u201d differ <strong>more in orchestration and integration<\/strong> than in raw model capability.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"where-each-system-actually-sits\" class=\"wp-block-heading\">Where Each System Actually Sits<\/h2>\n\n\n\n<h3 id=\"%25f0%259f%259f%25a2-chatgpt-openai\" class=\"wp-block-heading\">\ud83d\udfe2 ChatGPT (OpenAI)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Strong across <strong>all layers<\/strong><\/li>\n\n\n\n<li>Particularly advanced in:\n<ul class=\"wp-block-list\">\n<li>orchestration (tools, agents)<\/li>\n\n\n\n<li>multimodal interaction<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h3 id=\"%25f0%259f%2594%25b5-gemini-google\" class=\"wp-block-heading\">\ud83d\udd35 Gemini (Google)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Deep integration with Google ecosystem<\/li>\n\n\n\n<li>Strength in:\n<ul class=\"wp-block-list\">\n<li>multimodal (video, long context)<\/li>\n\n\n\n<li>Workspace integration<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h3 id=\"%25f0%259f%259f%25a3-claude-anthropic\" class=\"wp-block-heading\">\ud83d\udfe3 Claude (Anthropic)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Optimised for:\n<ul class=\"wp-block-list\">\n<li>long-context reasoning<\/li>\n\n\n\n<li>structured text comprehension<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Conservative alignment approach<\/li>\n<\/ul>\n\n\n\n<h3 id=\"%25e2%259a%25ab-grok-xai\" class=\"wp-block-heading\">\u26ab Grok (xAI)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Integrated with X (Twitter)<\/li>\n\n\n\n<li>Focus:\n<ul class=\"wp-block-list\">\n<li>real-time data streams<\/li>\n\n\n\n<li>social context<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h3 id=\"%25f0%259f%2594%258d-perplexity\" class=\"wp-block-heading\">\ud83d\udd0d Perplexity<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Not a model\u2014<strong>a retrieval product<\/strong><\/li>\n\n\n\n<li>Combines:\n<ul class=\"wp-block-list\">\n<li>search<\/li>\n\n\n\n<li>citations<\/li>\n\n\n\n<li>LLM responses<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h3 id=\"%25f0%259f%259f%25a0-deepseek\" class=\"wp-block-heading\">\ud83d\udfe0 DeepSeek<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Model-focused offering<\/li>\n\n\n\n<li>Known for:\n<ul class=\"wp-block-list\">\n<li>strong benchmark performance<\/li>\n\n\n\n<li>cost efficiency<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h3 id=\"copilot-microsoft\" class=\"wp-block-heading\">Copilot (Microsoft)<\/h3>\n\n\n\n<p>Built by Microsoft<\/p>\n\n\n\n<p>\ud83d\udc49 \u201cCopilot\u201d is <strong>not a single system<\/strong>. It is:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>a <strong>distribution layer for AI across enterprise workflows<\/strong><\/li>\n<\/ul>\n\n\n\n<p>Includes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>M365 Copilot<\/li>\n\n\n\n<li>GitHub Copilot<\/li>\n\n\n\n<li>Security Copilot<\/li>\n\n\n\n<li>Copilot Studio (agents)<\/li>\n<\/ul>\n\n\n\n<p>\u27a1\ufe0f Each instance:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>uses different models<\/li>\n\n\n\n<li>operates in different contexts<\/li>\n\n\n\n<li>has different capabilities<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"evaluation-criteria-a-better-approach\" class=\"wp-block-heading\">Evaluation Criteria \u2014 A Better Approach<\/h2>\n\n\n\n<p>Instead of \u201cbest for\u201d, evaluate across dimensions:<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 id=\"model-capability-measured\" class=\"wp-block-heading\">Model Capability (Measured)<\/h3>\n\n\n\n<p>Use established benchmarks:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>MMLU benchmark \u2192 general reasoning<\/li>\n\n\n\n<li>HumanEval \u2192 coding<\/li>\n\n\n\n<li>BIG-bench \u2192 complex reasoning<\/li>\n\n\n\n<li>HELM \u2192 holistic evaluation<\/li>\n<\/ul>\n\n\n\n<p>\ud83d\udc49 These provide <strong>comparative grounding<\/strong>, not marketing claims.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 id=\"orchestration-capability\" class=\"wp-block-heading\">Orchestration Capability<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Tool use<\/li>\n\n\n\n<li>Agent frameworks<\/li>\n\n\n\n<li>Multi-step reasoning<\/li>\n\n\n\n<li>Workflow automation<\/li>\n<\/ul>\n\n\n\n<p>\ud83d\udc49 Increasingly more important than raw model performance<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 id=\"context-amp-retrieval\" class=\"wp-block-heading\">Context &amp; Retrieval<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Web access<\/li>\n\n\n\n<li>RAG capability<\/li>\n\n\n\n<li>Enterprise data integration<\/li>\n\n\n\n<li>Citation grounding<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 id=\"integration-ecosystem\" class=\"wp-block-heading\">Integration Ecosystem<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>SaaS integration (Google, Microsoft, etc.)<\/li>\n\n\n\n<li>API surface<\/li>\n\n\n\n<li>extensibility<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 id=\"cost-amp-efficiency\" class=\"wp-block-heading\">Cost &amp; Efficiency<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>inference cost<\/li>\n\n\n\n<li>scaling characteristics<\/li>\n\n\n\n<li>open vs closed models<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 id=\"reliability-amp-governance\" class=\"wp-block-heading\">Reliability &amp; Governance<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>hallucination rates<\/li>\n\n\n\n<li>safety alignment<\/li>\n\n\n\n<li>enterprise controls<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 id=\"%25e2%259a%2596%25ef%25b8%258f-comparative-matrix\" class=\"wp-block-heading\">\u2696\ufe0f Comparative Matrix<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>System<\/th><th>Model Strength<\/th><th>Orchestration<\/th><th>Integration<\/th><th>Retrieval<\/th><th>Cost<\/th><th>Positioning<\/th><\/tr><\/thead><tbody><tr><td>ChatGPT<\/td><td>High<\/td><td>Very High<\/td><td>High<\/td><td>High<\/td><td>Medium<\/td><td>General AI platform<\/td><\/tr><tr><td>Gemini<\/td><td>High<\/td><td>Medium<\/td><td>Very High (Google)<\/td><td>High<\/td><td>Medium<\/td><td>Ecosystem AI<\/td><\/tr><tr><td>Claude<\/td><td>High<\/td><td>Medium<\/td><td>Medium<\/td><td>Medium<\/td><td>Medium<\/td><td>Reasoning + safety<\/td><\/tr><tr><td>Grok<\/td><td>Medium<\/td><td>Medium<\/td><td>High (X)<\/td><td>High<\/td><td>Medium<\/td><td>Real-time\/social<\/td><\/tr><tr><td><em>Perplexity<\/em><\/td><td><em><strong>Depends on model<\/strong><\/em><\/td><td><em>Medium<\/em><\/td><td><em>Medium<\/em><\/td><td><em>Very High<\/em><\/td><td><em>Medium<\/em><\/td><td><strong><em>AI search UX<\/em><\/strong><\/td><\/tr><tr><td>DeepSeek<\/td><td>High (benchmarks)<\/td><td>Low\u2013Medium<\/td><td>Low<\/td><td>Medium<\/td><td>Low<\/td><td>Efficient models<\/td><\/tr><tr><td><em>Copilot<\/em><\/td><td><em><strong>Depends on model<\/strong><\/em><\/td><td><em>Very High<\/em><\/td><td><em>Very High (Microsoft)<\/em><\/td><td><em>High<\/em><\/td><td><em>Enterprise<\/em><\/td><td><em><strong>Workflow AI<\/strong><\/em><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"architecture-vs-marketecture\" class=\"wp-block-heading\">Architecture vs Marketecture<\/h2>\n\n\n\n<h3 id=\"architecture-reality\" class=\"wp-block-heading\">Architecture &#8211; Reality<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Systems are <strong>layered<\/strong><\/li>\n\n\n\n<li>Capabilities are <strong>composed<\/strong><\/li>\n\n\n\n<li>Models are <strong>interchangeable components<\/strong><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 id=\"%25f0%259f%258e%25ad-marketecture-narrative\" class=\"wp-block-heading\">\ud83c\udfad Marketecture &#8211; Narrative<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u201cBest for X\u201d<\/li>\n\n\n\n<li>\u201cThis AI is smarter than that AI\u201d<\/li>\n\n\n\n<li>\u201cOne tool replaces all others\u201d<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 id=\"boundary-rule\" class=\"wp-block-heading\">Boundary Rule<\/h3>\n\n\n\n<p>\ud83d\udc49 If a claim cannot be mapped to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>a layer in the architecture<\/li>\n\n\n\n<li>a measurable benchmark<\/li>\n\n\n\n<li>a reproducible workflow<\/li>\n<\/ul>\n\n\n\n<p>\u2026it is <strong>marketecture<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"key-strategic-insight\" class=\"wp-block-heading\">Key Strategic Insight<\/h2>\n\n\n\n<p>The competition is not:<\/p>\n\n\n\n<p>\u274c ChatGPT vs Gemini vs Claude<\/p>\n\n\n\n<p>It is:<\/p>\n\n\n\n<p>\ud83d\udc49 <strong>Ecosystem vs Ecosystem<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>OpenAI \u2192 platform + tools<\/li>\n\n\n\n<li>Google \u2192 data + multimodal<\/li>\n\n\n\n<li>Microsoft \u2192 enterprise workflows<\/li>\n\n\n\n<li>Anthropic \u2192 safety + reasoning<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"diagram-ecosystem-positioning\" class=\"wp-block-heading\">Diagram \u2014 Ecosystem Positioning<\/h2>\n\n\n\n<pre class=\"wp-block-code\"><code>                High Integration\n                     \u2191\n        Microsoft Copilot \u2500\u2500\u2500\u2500\u2500 Google Gemini\n              \u2502                      \u2502\n              \u2502                      \u2502\n              \u2502                      \u2502\n   DeepSeek \u2500\u2500\u253c\u2500\u2500\u2500\u2500 ChatGPT \u2500\u2500\u2500\u2500\u2500 Claude\n              \u2502\n              \u2502\n              \u2502\n          Perplexity\n                     \u2193\n                Low Integration\n<\/code><\/pre>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"practical-usage-guidance\" class=\"wp-block-heading\">Practical Usage Guidance<\/h2>\n\n\n\n<p>A more practical guide as to when to use what is actually more useful than a lot of the sales and marketecture that you see around.<\/p>\n\n\n\n<h3 id=\"use-chatgpt-when\" class=\"wp-block-heading\">Use ChatGPT when:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>building workflows<\/li>\n\n\n\n<li>prototyping agents<\/li>\n\n\n\n<li>general-purpose capability needed<\/li>\n<\/ul>\n\n\n\n<h3 id=\"use-gemini-when\" class=\"wp-block-heading\">Use Gemini when:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>deep Google Workspace integration required<\/li>\n<\/ul>\n\n\n\n<h3 id=\"use-copilot-when\" class=\"wp-block-heading\">Use Copilot when:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>operating inside Microsoft enterprise stack<\/li>\n<\/ul>\n\n\n\n<h3 id=\"use-claude-when\" class=\"wp-block-heading\">Use Claude when:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>analysing long documents<\/li>\n\n\n\n<li>requiring controlled tone<\/li>\n<\/ul>\n\n\n\n<h3 id=\"use-perplexity-when\" class=\"wp-block-heading\">Use Perplexity when:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>search + citation UX is primary need<\/li>\n<\/ul>\n\n\n\n<h3 id=\"use-deepseek-when\" class=\"wp-block-heading\">Use DeepSeek when:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>cost efficiency is critical<\/li>\n\n\n\n<li>self-hosting or control matters<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"references-amp-further-reading\" class=\"wp-block-heading\">References &amp; Further Reading<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/arxiv.org\/abs\/2009.03300\" target=\"_blank\" rel=\"noreferrer noopener\">MMLU benchmark<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/2206.04615\" target=\"_blank\" rel=\"noreferrer noopener\">BIG-bench<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/2211.09110\" target=\"_blank\" rel=\"noreferrer noopener\">HELM<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/2107.03374\" target=\"_blank\" rel=\"noreferrer noopener\">HumanEval<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/teybannerman.com\/strategy\/2026\/03\/31\/how-many-microsoft-copilot-are-there.html\" target=\"_blank\" rel=\"noreferrer noopener\">Tey Bannerman \u2014 <em>How many Microsoft Copilots are there?<\/em> (2026)<\/a><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"final-takeaway\" class=\"wp-block-heading\">Final Takeaway<\/h2>\n\n\n\n<p>AI assistants are not comparable as single entities.<\/p>\n\n\n\n<p>They are:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>architectural compositions<\/strong><\/li>\n\n\n\n<li><strong>ecosystem entry points<\/strong><\/li>\n\n\n\n<li><strong>workflow enablers<\/strong><\/li>\n<\/ul>\n\n\n\n<p>\ud83d\udc49 The right question is not:<br>\u201cWhich AI is best?\u201d<\/p>\n\n\n\n<p>\ud83d\udc49 It is: (as usual)<br><strong>\u201cWhich architecture fits the problem?\u201d<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Executive Summary The current wave of \u201cAI comparison charts\u201d (ChatGPT vs Gemini vs Claude vs others) are not wrong\u2014but they are not reliable. They conflate: This article reframes the comparison using: The Core Problem Most comparisons: \ud83d\udc49 Example flaw:\u201cPerplexity = best for research\u201d\u2192 In reality, it is a retrieval + UX layer over models, not &#8230; <a title=\"AI Assistants Compared \u2014 Architecture vs Marketecture\" class=\"read-more\" href=\"https:\/\/www.evalue-it.com\/?p=75\" aria-label=\"Read more about AI Assistants Compared \u2014 Architecture vs Marketecture\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-75","post","type-post","status-publish","format-standard","hentry","category-insights"],"_links":{"self":[{"href":"https:\/\/www.evalue-it.com\/index.php?rest_route=\/wp\/v2\/posts\/75","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.evalue-it.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.evalue-it.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.evalue-it.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.evalue-it.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=75"}],"version-history":[{"count":2,"href":"https:\/\/www.evalue-it.com\/index.php?rest_route=\/wp\/v2\/posts\/75\/revisions"}],"predecessor-version":[{"id":78,"href":"https:\/\/www.evalue-it.com\/index.php?rest_route=\/wp\/v2\/posts\/75\/revisions\/78"}],"wp:attachment":[{"href":"https:\/\/www.evalue-it.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=75"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.evalue-it.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=75"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.evalue-it.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=75"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}