{"slug": "openai-s-gpt-5-6-sol-sets-new-record-sub-100ms-response-time-changes-everything", "title": "OpenAI's GPT-5.6 Sol Sets New Record: Sub-100ms Response Time Changes Everything", "summary": "OpenAI released GPT-5.6 Sol, a model it says achieves sub-100ms time-to-first-token latency for real-time agent applications, according to September 2026 pricing data. The model uses an architecture codenamed FlashDecode that keeps a warm cache of initial layers across requests with a 60-second refresh cycle, priced at $4.00 per million input tokens and $20.00 per million output tokens.", "body_md": "OpenAI just shipped GPT-5.6 Sol with what might be the most practical breakthrough this year: **sub-100ms time-to-first-token** for real-time agent applications.\n\nThat's not a benchmark. That's a latency floor so low that conversational AI finally feels natural at the code-execution level.\n\n| Metric | GPT-5.6 Sol | Claude 3.7 Sonnet | Gemini 3.7 Flash | \n|---|---|---|---|\n| TTFT | **<100ms** | 210ms | 350ms | \n| Throughput | 180 tok/s | 90 tok/s | 340 tok/s | \n| Input price | $4.00/M | $3.00/M | $0.75/M | \n| Output price | $20.00/M | $15.00/M | $3.75/M | \n\n(Source: September 2026 pricing data)\n\nYou're not building chatbots anymore. You're building agents that need to think before they speak — and every millisecond of delay compounds across hundreds of API calls.\n\nSol's new architecture (codenamed \"FlashDecode\") keeps a warm cache of the model's initial layers across requests with a 60-second refresh cycle. That's the secret sauce. Your agent doesn't wait for a cold start on every turn.\n\nFor a B2B product configurator like MedalCraft, this means:\n\n$4 input / $20 output looks steep until you compare it to what it replaces.\n\nA human sales rep needs 15 minutes to produce a custom quote with mockups. At $0.10/token for Sol, that conversation costs roughly $0.50 in API fees.\n\nThe math isn't even close.\n\nIf you're evaluating Sol for production workloads:\n\nThe race isn't over. It's just moved from \"who's most accurate\" to \"who's most useful.\"\n\n*What's your experience with real-time agent latency? I'm curious which use cases are finally viable.*", "url": "https://wpnews.pro/news/openai-s-gpt-5-6-sol-sets-new-record-sub-100ms-response-time-changes-everything", "canonical_source": "https://dev.to/kd_jiang_cb6ed42090a6f3f5/openais-gpt-56-sol-sets-new-record-sub-100ms-response-time-changes-everything-ooe", "published_at": "2026-09-20 05:28:09+00:00", "updated_at": "2026-09-20 05:54:38.802591+00:00", "lang": "en", "topics": ["large-language-models", "ai-agents", "ai-products", "ai-infrastructure"], "entities": ["OpenAI", "GPT-5.6 Sol", "FlashDecode", "Claude 3.7 Sonnet", "Gemini 3.7 Flash", "MedalCraft"], "alternates": {"html": "https://wpnews.pro/news/openai-s-gpt-5-6-sol-sets-new-record-sub-100ms-response-time-changes-everything", "markdown": "https://wpnews.pro/news/openai-s-gpt-5-6-sol-sets-new-record-sub-100ms-response-time-changes-everything.md", "text": "https://wpnews.pro/news/openai-s-gpt-5-6-sol-sets-new-record-sub-100ms-response-time-changes-everything.txt", "jsonld": "https://wpnews.pro/news/openai-s-gpt-5-6-sol-sets-new-record-sub-100ms-response-time-changes-everything.jsonld"}}