[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-gpt-5-5-senior-engineer-benchmark-every-en":3,"article-related-gpt-5-5-senior-engineer-benchmark-every-en":30,"series-model-release-d1a3f7e9-4415-4158-afbc-1327e7148fb3":78},{"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},"d1a3f7e9-4415-4158-afbc-1327e7148fb3","gpt-5-5-senior-engineer-benchmark-every-en","GPT-5.5 scores 62.5 on Every’s engineer test","\u003Cp data-speakable=\"summary\">Every says GPT-5.5 is \u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa>’s fastest new work model and tops its Senior Engineer Benchmark.\u003C\u002Fp>\u003Cp>OpenAI released GPT-5.5 on April 23, 2026, and Every says the model hit 62.5 on its best run on the publication’s Senior Engineer Benchmark. That put it well ahead of \u003Ca href=\"\u002Ftag\u002Fopus-47\">Opus 4.7\u003C\u002Fa> in the low 30s, though still below human senior engineers, who score in the high 80s and low 90s.\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Release date\u003C\u002Ftd>\u003Ctd>April 23, 2026\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Best Senior Engineer Benchmark score\u003C\u002Ftd>\u003Ctd>62.5\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Opus 4.7 comparison score\u003C\u002Ftd>\u003Ctd>Low 30s\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Human senior engineer range\u003C\u002Ftd>\u003Ctd>High 80s to low 90s\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Context window\u003C\u002Ftd>\u003Ctd>1 million tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Input pricing\u003C\u002Ftd>\u003Ctd>$5 per 1M tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Output pricing\u003C\u002Ftd>\u003Ctd>$30 per 1M tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GPT-5.5 Pro output pricing\u003C\u002Ftd>\u003Ctd>$180 per 1M tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>What changed\u003C\u002Fh2>\u003Cp>Every’s review frames GPT-5.5 as a new pre-train, not just a better wrapper around the same base model. The result, according to the piece, is a model that feels faster, steadier, and easier to work with than \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002F\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa>’s Opus 4.7 for many professional tasks.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779538549724-ut61.png\" alt=\"GPT-5.5 scores 62.5 on Every’s engineer test\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>The article says GPT-5.5 launches first in \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fchatgpt\u002F\" target=\"_blank\" rel=\"noopener\">ChatGPT\u003C\u002Fa> and \u003Ca href=\"\u002Ftag\u002Fcodex\">Codex\u003C\u002Fa>, with API access coming later after more safety and security checks. It also keeps a 1 million-token context window, supports prompt caching, and defaults to medium reasoning instead of none.\u003C\u002Fp>\u003Cul>\u003Cli>Best benchmark run: 62.5 on Every’s Senior Engineer Benchmark\u003C\u002Fli>\u003Cli>Opus 4.7: low 30s at a similar reasoning level\u003C\u002Fli>\u003Cli>Human senior engineers: high 80s to low 90s\u003C\u002Fli>\u003Cli>API pricing: $5 in, $30 out per 1 million tokens\u003C\u002Fli>\u003Cli>GPT-5.5 Pro pricing: $30 in, $180 out per 1 million tokens\u003C\u002Fli>\u003Cli>Launch surface: ChatGPT and Codex first, API later\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Every also says GPT-5.5 is better at sustained engineering, writing, dashboards, curricula, run-of-show docs, and transcript-based work. But it still trails Opus 4.7 on some product and design tasks, plus Ruby, PowerPoint, and spatial composition.\u003C\u002Fp>\u003Ch2>Why it matters\u003C\u002Fh2>\u003Cp>The practical shift is less about a single benchmark win and more about where OpenAI wants to compete. Every says GPT-5.5 is OpenAI’s clearest bid to reclaim coding and professional work, areas where \u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> has been the default for many teams.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779538548449-e06u.png\" alt=\"GPT-5.5 scores 62.5 on Every’s engineer test\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>For developers, the pitch is simple: fewer retries, more planning, and a model you can keep in the loop on long tasks. If that holds up in production, GPT-5.5 could become the cheaper-to-finish option even when its token price is higher than GPT-5.4.\u003C\u002Fp>\u003Cp>The bigger question is whether speed and reliability will outweigh Opus 4.7’s edge in planning, product taste, and presentation work. For now, Every’s take is that GPT-5.5 is the safer daily driver for code and knowledge work, while Opus still has the sharper creative finish.\u003C\u002Fp>\u003Cp>The takeaway: GPT-5.5 looks like OpenAI’s strongest move yet to turn \u003Ca href=\"\u002Ftag\u002Fchatgpt\">ChatGPT\u003C\u002Fa> into a work model, but the real test is whether teams trust it on unfinished, messy jobs.\u003C\u002Fp>","Every says GPT-5.5 beat Opus 4.7 on its Senior Engineer Benchmark, scoring 62.5 on its best run and landing as OpenAI’s work model.","every.to","https:\u002F\u002Fevery.to\u002Fvibe-check\u002Fgpt-5-5",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779538549724-ut61.png","model-release","en","e461ae3e-ed3f-4109-910c-8ebac13936bd",[17,18,19,20,21],"GPT-5.5","OpenAI","benchmark","coding","Anthropic",[23,24,25],"GPT-5.5 scored 62.5 on Every’s Senior Engineer Benchmark, ahead of Opus 4.7’s low-30s result.","OpenAI is positioning GPT-5.5 as a work model for coding and knowledge tasks, with ChatGPT and Codex first.","The model keeps a 1 million-token context window and launches with pricing above GPT-5.4.",4,"2026-05-23T12:15:27.068447+00:00","2026-05-23T12:15:27.059+00:00","1bae1133-d241-4581-9332-fbf39690c319",{"tags":31,"relatedLang":37,"relatedPosts":41},[32,34,35],{"name":18,"slug":33},"openai",{"name":19,"slug":19},{"name":21,"slug":36},"anthropic",{"id":15,"slug":38,"title":39,"language":40},"gpt-5-5-senior-engineer-benchmark-every-en-zh","GPT-5.5 在工程測試拿 62.5 分","zh",[42,48,54,60,66,72],{"id":43,"slug":44,"title":45,"cover_image":46,"image_url":46,"created_at":47,"category":13},"f859c7fa-57a1-4826-8bd4-05d6b6f2ef3f","gpt-5-6-three-variants-lower-token-costs-en","GPT-5.6 arrives in three variants with lower token costs","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784282583335-rqq3.png","2026-07-17T10:02:36.745516+00:00",{"id":49,"slug":50,"title":51,"cover_image":52,"image_url":52,"created_at":53,"category":13},"1e39ce22-07bb-4157-9431-44f1f8dab813","gpt-56-sol-terra-luna-digitalocean-inference-en","GPT-5.6 Sol, Terra, Luna arrive on DigitalOcean","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784273582114-y5io.png","2026-07-17T07:32:36.95126+00:00",{"id":55,"slug":56,"title":57,"cover_image":58,"image_url":58,"created_at":59,"category":13},"c6c336f0-ee1b-4679-a2db-f8f8058d2bbf","grok-4-5-rise-five-numbers-en","Grok 4.5’s rise comes down to 5 numbers","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784235774555-6kne.png","2026-07-16T21:02:32.185149+00:00",{"id":61,"slug":62,"title":63,"cover_image":64,"image_url":64,"created_at":65,"category":13},"fbfaa5f6-56e4-4ff3-8767-acd07c70ef63","grok-4-5-one-prompt-agent-work-en","Grok 4.5 turns agent work into one prompt","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784232197624-3z0v.png","2026-07-16T20:02:54.506174+00:00",{"id":67,"slug":68,"title":69,"cover_image":70,"image_url":70,"created_at":71,"category":13},"79d1dd19-334a-47dc-b662-814da4bcb71f","kimi-api-quickstart-k27-code-highspeed-en","Kimi API quickstart adds K2.7 Code and Highspeed","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784190785611-oa73.png","2026-07-16T08:32:41.679667+00:00",{"id":73,"slug":74,"title":75,"cover_image":76,"image_url":76,"created_at":77,"category":13},"497afd1e-80e1-46fd-a387-86bf89fda147","gpt-live-faster-voice-chat-chatgpt-en","GPT-Live brings faster voice chat to ChatGPT","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784160182976-yt0m.png","2026-07-16T00:02:41.309227+00:00",[79,84,89,94,99,104,109,114,119,124],{"id":80,"slug":81,"title":82,"created_at":83},"d4cffde7-9b50-4cc7-bb68-8bc9e3b15477","nvidia-rubin-ai-supercomputer-en","NVIDIA Unveils Rubin: A Leap in AI Supercomputing","2026-03-25T16:24:35.155565+00:00",{"id":85,"slug":86,"title":87,"created_at":88},"eab919b9-fbac-4048-89fc-afad6749ccef","google-gemini-ai-innovations-2026-en","Google's AI Leap with Gemini 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