[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-chatgpt-vs-gemini-9-tests-1-clear-winner-2026-en":3,"article-related-chatgpt-vs-gemini-9-tests-1-clear-winner-2026-en":36,"series-industry-f08de46f-92a7-4390-a143-adb9f53e352e":85},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":19,"translated_content":10,"views":20,"is_premium":21,"created_at":22,"updated_at":22,"cover_image":11,"published_at":23,"rewrite_status":24,"rewrite_error":10,"rewritten_from_id":25,"slug":26,"category":27,"related_article_id":28,"status":29,"google_indexed_at":10,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":30,"topic_cluster_id":34,"embedding":35,"is_canonical_seed":21},"f08de46f-92a7-4390-a143-adb9f53e352e","ChatGPT vs Gemini: 9 Tests, 1 Clear Winner","\u003Cp data-speakable=\"summary\">GPT-5.4 leads on coding and desktop automation, while Gemini 3.1 Pro wins on reasoning, science, and price.\u003C\u002Fp>\u003Cp>In this ChatGPT vs Gemini comparison, the main decision is between \u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa>’s \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fchatgpt\">ChatGPT\u003C\u002Fa> and \u003Ca href=\"\u002Ftag\u002Fgoogle-deepmind\">Google DeepMind\u003C\u002Fa>’s \u003Ca href=\"https:\u002F\u002Fgemini.google.com\">Gemini\u003C\u002Fa>, for people choosing an AI assistant, coding tool, or enterprise model in 2026.\u003C\u002Fp>\u003Ch2>At a glance\u003C\u002Fh2>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Dimension\u003C\u002Fth>\u003Cth>ChatGPT (GPT-5.4)\u003C\u002Fth>\u003Cth>Gemini (3.1 Pro)\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Monthly price\u003C\u002Ftd>\u003Ctd>$20 Plus, $200 Pro\u003C\u002Ftd>\u003Ctd>$19.99 Advanced, $249.99 Ultra\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>API input\u002Foutput\u003C\u002Ftd>\u003Ctd>$2.50 \u002F 1M input, $15.00 \u002F 1M output\u003C\u002Ftd>\u003Ctd>$2.00 \u002F 1M input, $12.00 \u002F 1M output\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Context window\u003C\u002Ftd>\u003Ctd>1M tokens, 32K output\u003C\u002Ftd>\u003Ctd>1M tokens, 65K output\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Best benchmark wins\u003C\u002Ftd>\u003Ctd>5 of 7 tests, including SWE-bench Verified 71.7%\u003C\u002Ftd>\u003Ctd>ARC-AGI-2 77.1%, GPQA Diamond 94.3%\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Desktop tasks\u003C\u002Ftd>\u003Ctd>OSWorld 75.0%, above 72.4% human baseline\u003C\u002Ftd>\u003Ctd>OSWorld 68.2%\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Multimodal strengths\u003C\u002Ftd>\u003Ctd>Text, image, audio, code, computer use\u003C\u002Ftd>\u003Ctd>Text, image, audio, video, code\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>ChatGPT: best when work needs action\u003C\u002Fh2>\u003Cp>\u003Ca href=\"\u002Ftag\u002Fchatgpt\">ChatGPT\u003C\u002Fa>’s biggest edge is not just raw \u003Ca href=\"\u002Ftag\u002Fbenchmark\">benchmark\u003C\u002Fa> strength, but the way GPT-5.4 turns that strength into usable workflow power. The 75.0% OSWorld score matters because it reflects actual desktop-style tasks, and that is where many professionals feel the value immediately. If your day involves writing code, moving between apps, and asking the model to help execute steps rather than only explain them, ChatGPT feels more agentic.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778925832253-m4vv.png\" alt=\"ChatGPT vs Gemini: 9 Tests, 1 Clear Winner\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>It is also the safer default for developers. The 71.7% \u003Ca href=\"\u002Ftag\u002Fswe-bench-verified\">SWE-bench Verified\u003C\u002Fa> score is the clearest sign that OpenAI still leads in real-world coding assistance, especially for repository-level debugging and patch generation. The trade-off is that ChatGPT’s output cap is lower at 32K tokens, so it is less attractive for very long single-shot generation than Gemini.\u003C\u002Fp>\u003Ch2>Gemini: best when reasoning and multimodal depth matter\u003C\u002Fh2>\u003Cp>Gemini 3.1 Pro’s strongest case is that it wins the two tests that most closely track general intelligence: ARC-AGI-2 at 77.1% and GPQA Diamond at 94.3%. Those are not vanity metrics. They suggest better abstract reasoning and stronger graduate-level science performance, which can matter a lot for research, analysis, and hard Q&A.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778925825105-xnp8.png\" alt=\"ChatGPT vs Gemini: 9 Tests, 1 Clear Winner\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>Gemini also has the cleaner multimodal story. Native video support plus a 65K output limit make it better for long-form synthesis, video analysis, and large report generation. If your workflow centers on big documents, media understanding, or Google Workspace, Gemini often feels less bolted on and more naturally integrated.\u003C\u002Fp>\u003Ch2>Price and platform trade-offs are close, but not identical\u003C\u002Fh2>\u003Cp>At the consumer tier, the difference is basically a wash: $20 for ChatGPT Plus versus $19.99 for Gemini Advanced. That means price alone will rarely decide the casual-user choice. The premium tier is more interesting, because ChatGPT Pro costs $200 while Gemini Ultra is $249.99, so OpenAI is cheaper for heavy subscribers.\u003C\u002Fp>\u003Cp>API buyers get the opposite result. Gemini undercuts OpenAI at $2.00 per 1M input tokens and $12.00 per 1M output tokens, versus ChatGPT at $2.50 and $15.00. For teams shipping product features at scale, that gap can become meaningful fast, especially if output-heavy workloads are part of the stack.\u003C\u002Fp>\u003Ch2>When to pick what\u003C\u002Fh2>\u003Cp>Pick ChatGPT if you are a developer, operator, or power user who wants the best blend of coding help, desktop automation, and practical task execution. It is the better fit when your AI needs to do work, not just discuss it.\u003C\u002Fp>\u003Cp>Pick Gemini if your priority is reasoning quality, science-heavy analysis, long outputs, or tight Google ecosystem integration. It is the stronger choice for researchers, analysts, and teams already living in Workspace and Search.\u003C\u002Fp>\u003Cp>Pick Gemini on API economics alone if your workload is high-volume and output-intensive. The lower token prices can outweigh small model differences quickly.\u003C\u002Fp>\u003Cp>Pick ChatGPT if you want the most proven all-around assistant for coding and computer use. That is the more reliable default for most people in 2026.\u003C\u002Fp>\u003Cp>Default to ChatGPT unless you specifically need Gemini’s stronger reasoning, video support, or cheaper API costs.\u003C\u002Fp>","GPT-5.4 leads on coding and desktop automation, while Gemini 3.1 Pro wins on reasoning, science, and price.","tech-insider.org","https:\u002F\u002Ftech-insider.org\u002Fchatgpt-vs-gemini-2026\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778925832253-m4vv.png",[13,14,15,16,17,18],"ChatGPT vs Gemini","GPT-5.4","Gemini 3.1 Pro","AI assistant comparison","AI benchmark comparison","2026 AI models","en",0,false,"2026-05-16T10:03:30.331792+00:00","2026-05-16T10:03:30.32+00:00","done","b304cc95-5c1a-45ff-9a2d-b1efa9c3900d","chatgpt-vs-gemini-9-tests-1-clear-winner-2026-en","industry","cde2a775-0898-485e-9b0e-38c4288501b8","published",[31,32,33],"ChatGPT wins on coding and desktop automation, with SWE-bench Verified at 71.7% and OSWorld at 75.0%.","Gemini wins on abstract reasoning and science, including ARC-AGI-2 at 77.1% and GPQA Diamond at 94.3%.","Gemini is cheaper for API usage, while ChatGPT is the better default for most users who want an assistant that can act, not just 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