[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-gpt-55-tops-artificial-analysis-score-60-en":3,"article-related-gpt-55-tops-artificial-analysis-score-60-en":30,"series-tools-a08034a7-cc0d-470a-8af6-a9cb95738cca":75},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":22,"views":26,"created_at":27,"published_at":28,"topic_cluster_id":29},"a08034a7-cc0d-470a-8af6-a9cb95738cca","gpt-55-tops-artificial-analysis-score-60-en","GPT-5.5 tops Artificial Analysis with score of 60","\u003Cp data-speakable=\"summary\">Artificial Analysis ranks GPT-5.5 (xhigh) first on intelligence with a score of 60.\u003C\u002Fp>\u003Cp>Artificial Analysis has updated its model comparison hub with rankings across intelligence, speed, latency, price, and context window. The site now tracks 523 models, with GPT-5.5 (xhigh) and GPT-5.5 (high) leading the intelligence chart.\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Top intelligence model\u003C\u002Ftd>\u003Ctd>GPT-5.5 (xhigh)\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Intelligence score\u003C\u002Ftd>\u003Ctd>60\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Models evaluated\u003C\u002Ftd>\u003Ctd>523\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Intelligence Index version\u003C\u002Ftd>\u003Ctd>v4.0\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Evaluations in v4.0\u003C\u002Ftd>\u003Ctd>10\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Fastest model\u003C\u002Ftd>\u003Ctd>Mercury 2\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Fastest speed\u003C\u002Ftd>\u003Ctd>825 tokens\u002Fs\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Lowest latency model\u003C\u002Ftd>\u003Ctd>Command A+\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Lowest latency\u003C\u002Ftd>\u003Ctd>0.33s\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Cheapest model\u003C\u002Ftd>\u003Ctd>Qwen3.5 0.8B\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Cheapest price\u003C\u002Ftd>\u003Ctd>$0.01 per 1M tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Largest context window\u003C\u002Ftd>\u003Ctd>Llama 4 Scout\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Largest context\u003C\u002Ftd>\u003Ctd>10m tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>What changed\u003C\u002Fh2>\u003Cp>The refreshed Artificial Analysis dashboard lets users compare models by intelligence, output speed, latency, price, context window, and related metrics in one place. Its Intelligence Index v4.0 uses 10 evaluations, including GDPval-AA, Terminal-Bench Hard, SciCode, AA-Omniscience, Humanity's Last Exam, GPQA Diamond, and CritPt.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779537963385-2pfk.png\" alt=\"GPT-5.5 tops Artificial Analysis with score of 60\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>The current leaderboard puts GPT-5.5 (xhigh) and GPT-5.5 (high) at the top for intelligence, followed by \u003Ca href=\"\u002Ftag\u002Fclaude\">Claude\u003C\u002Fa> \u003Ca href=\"\u002Ftag\u002Fopus-47\">Opus 4.7\u003C\u002Fa> (max) and \u003Ca href=\"\u002Ftag\u002Fgemini\">Gemini\u003C\u002Fa> 3.1 Pro Preview. On the other end of the chart, Mercury 2 leads output speed at 825 tokens per second, Command A+ posts the lowest latency at 0.33 seconds, Qwen3.5 0.8B is the cheapest at $0.01 per million tokens, and Llama 4 Scout offers the largest context window at 10 million tokens.\u003C\u002Fp>\u003Cul>\u003Cli>523 models are included in the comparison set.\u003C\u002Fli>\u003Cli>Intelligence Index v4.0 uses 10 benchmarks.\u003C\u002Fli>\u003Cli>Price is shown as a blended cache-input-output rate.\u003C\u002Fli>\u003Cli>Open and proprietary models are both tracked.\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Why it matters\u003C\u002Fh2>\u003Cp>For developers, the page makes tradeoffs easier to see: a model can be strong on intelligence but weak on cost, speed, or context length. That matters for \u003Ca href=\"\u002Ftag\u002Fagent\">agent\u003C\u002Fa> workflows, RAG systems, coding assistants, and any API choice where token use and latency affect product quality.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779537966132-zrbe.png\" alt=\"GPT-5.5 tops Artificial Analysis with score of 60\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>It also gives buyers a faster way to compare providers without reading separate \u003Ca href=\"\u002Ftag\u002Fbenchmark\">benchmark\u003C\u002Fa> posts. The mix of intelligence, cost, and performance charts can help teams decide whether to optimize for quality, throughput, or budget.\u003C\u002Fp>\u003Cp>The main takeaway is simple: the best model is no longer just the smartest one, and Artificial Analysis is making that tradeoff visible in a single ranking page.\u003C\u002Fp>","Artificial Analysis ranks GPT-5.5 (xhigh) first on intelligence with a 60 score, comparing 523 models on speed, price, latency, and context.","artificialanalysis.ai","https:\u002F\u002Fartificialanalysis.ai\u002Fmodels",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779537963385-2pfk.png","tools","en","39f058b8-5f14-4b03-b717-457e28c7130e",[17,18,19,20,21],"AI benchmarks","model comparison","GPT-5.5","pricing","latency",[23,24,25],"GPT-5.5 (xhigh) leads the Intelligence Index with a score of 60.","Artificial Analysis now compares 523 models across quality, speed, price, and context.","The page highlights clear tradeoffs for developers choosing models for agents, RAG, and coding.",5,"2026-05-23T12:05:39.68569+00:00","2026-05-23T12:05:39.678+00:00","a7343b93-37cc-4634-a2bc-707f6275bdb6",{"tags":31,"relatedLang":34,"relatedPosts":38},[32],{"name":17,"slug":33},"ai-benchmarks",{"id":15,"slug":35,"title":36,"language":37},"gpt-55-tops-artificial-analysis-score-60-zh","GPT-5.5 以 60 分登頂","zh",[39,45,51,57,63,69],{"id":40,"slug":41,"title":42,"cover_image":43,"image_url":43,"created_at":44,"category":13},"68f6dc32-dcf1-4e46-bae8-c07a4cbd44df","aliyun-bailian-token-plan-credits-agents-en","Aliyun Bailian Token Plan turns credits into agents","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783929838532-ki2e.png","2026-07-13T08:03:24.626056+00:00",{"id":46,"slug":47,"title":48,"cover_image":49,"image_url":49,"created_at":50,"category":13},"c76b9129-a81c-4a4b-b091-9489ffe829f6","one-api-gateway-turns-six-ai-apis-into-one-en","One API gateway turns six AI APIs into one","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783883025713-28du.png","2026-07-12T19:03:22.716277+00:00",{"id":52,"slug":53,"title":54,"cover_image":55,"image_url":55,"created_at":56,"category":13},"50c7cf16-6635-4efe-bede-69fd0f353b9e","openai-fdes-turn-broken-agents-into-shipped-systems-en","OpenAI FDEs turn broken agents into shipped 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retention","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783793005525-jxzy.png","2026-07-11T18:03:01.957727+00:00",{"id":70,"slug":71,"title":72,"cover_image":73,"image_url":73,"created_at":74,"category":13},"a2b9cbbc-cee7-4f54-8417-0e646982c6bc","midjourney-turns-prompt-ideas-into-art-en","Midjourney turns prompt ideas into art","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783693998411-hvxw.png","2026-07-10T14:32:56.24676+00:00",[76,81,86,91,96,101,106,111,116,121],{"id":77,"slug":78,"title":79,"created_at":80},"8008f1a9-7a00-4bad-88c9-3eedc9c6b4b1","surepath-ai-mcp-policy-controls-en","SurePath AI's New MCP Policy Controls Enhance AI Security","2026-03-26T01:26:52.222015+00:00",{"id":82,"slug":83,"title":84,"created_at":85},"27e39a8f-b65d-4f7b-a875-859e2b210156","mcp-standard-ai-tools-2026-en","MCP Standard in 2026: Integrating AI 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