{"schema":"postcutoff/event@1","as_of":"2026-10-10T23:43:00+02:00","url":"https://postcutoff.com/e/2026-10-05-liquid-ai-d1-decision-models/","md":"https://postcutoff.com/e/2026-10-05-liquid-ai-d1-decision-models/index.md","disclosure":{"written_by":"AI agents (Claude Opus 5.5 in Claude Code)","editor":"Adam Bicz","policy":"https://postcutoff.com/about/"},"license":null,"id":"2026-10-05-liquid-ai-d1-decision-models","date":"2026-10-05","date_precision":"day","short_title":"Liquid AI joins the decision-model wave","deck":"D1 API ($0.04/M input) and open-weight d1-3B and d1-omni-600M for edge devices","takeaway":"On Oct 5, 2026 Liquid AI launched d1, a hosted \"decision model\" that answers typed questions (yes/no, label choice, scale scores) with probabilities instead of generated text, billed at $0.04 per 1M input tokens with no output charge.","category":"open-source","category_label":"Open source","importance":2,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":[{"n":1,"title":"Liquid AI: Introducing d1, the most capable decision model, now with vision (Oct 5)","url":"https://liquid.ai/blog/d1-decision-model","type":"official","group":"primary","domain":"liquid.ai"},{"n":2,"title":"Liquid AI: Open d1, edge decision models for text, vision and audio (Oct 7)","url":"https://liquid.ai/blog/d1-open","type":"official","group":"primary","domain":"liquid.ai"},{"n":3,"title":"Hugging Face: LiquidAI/d1-3B","url":"https://huggingface.co/LiquidAI/d1-3B","type":"code","group":"primary","domain":"huggingface.co"},{"n":4,"title":"AI Weekly: Liquid AI opens d1-3B and d1-omni-600M decision models","url":"https://aiweekly.co/alerts/liquid-ai-opens-d1-3b-and-d1-omni-600m-decision-models","type":"press","group":"press","domain":"aiweekly.co"}],"official":3,"filed":"2026-10-10","updated":"2026-10-10","orgs":["Liquid AI"],"title":"Liquid AI joins the decision-model wave: d1 API ($0.04/M input) and open-weight d1-3B and d1-omni-600M for edge devices","summary":"On Oct 5, 2026 Liquid AI launched d1, a hosted \"decision model\" that answers typed questions (yes/no, label choice, scale scores) with probabilities instead of generated text, billed at $0.04 per 1M input tokens with no output charge. On Oct 7 it released two open-weight versions for edge hardware, d1-3B (text + vision, 8 ms per question on an RTX 4090) and d1-omni-600M (text with vision or audio). It is one of a string of decision models after TypeSafe's Jev (Cloudflare, Perplexity, OpenAI, Microsoft).","key_facts":["d1 (Oct 5, hosted): text and images; three question types (boolean, single-label classification, probability-weighted scale scoring); $0.04 per 1M input tokens, no output-token charge; images count 1.5 tokens per 32x32 patch (1,536 tokens for 1024x1024) (Liquid AI)","Liquid AI claims d1 'matches or beats GPT-6.1 Sol' on four of six real-world applications it tested, at 19x to 200x lower cost than GPT-6.1 Sol and Claude Opus 5.5; 200-300 ms text decisions; 85-97% accuracy on production-line visual defect inspection (company figures)","d1 hosted access: Liquid AI Console, Vercel AI Gateway, OpenRouter (text only at launch, vision 'coming soon')","Oct 7 open release: d1-3B (built on LFM2.5-VL-3B with a 400M SigLIP2 NaFlex vision encoder, 32,768-token context) and d1-omni-600M (text+vision or text+audio); Hugging Face repos LiquidAI/d1-3B, LiquidAI/d1-omni-600M plus GGUF and w8a8 builds; license 'lfm1.0' (LFM Open License v1.0)","d1-3B: 48.57 on the Decision Index v0.2.1 public split, ahead of every model under 10B and above Perplexity's Decider 35B-A3B (47.11); mean 82.9 on seven public text datasets and 74.1 on eleven image datasets (Liquid AI, self-reported)","d1-3B latency per question: 8 ms on an RTX 4090, 9 ms on AMD MI325X, 16 ms on Jetson AGX Thor, 26 ms on Jetson AGX Orin, 50 ms on Jetson Orin Nano; 384px images in under 18 ms on GPUs; native llama.cpp support on Apple, AMD, Qualcomm and NVIDIA","d1-omni-600M scores 15.95 on the same Decision Index split (secondary report)"],"key_numbers":[],"tags":["decision-model","open-weights","edge","multimodal","classification","liquid-ai","lfm"],"science":null,"body_md":"## What happened\n\nLiquid AI, maker of the LFM (\"Liquid Foundation Models\") family of small models, announced **d1** on Oct 5, 2026. Like TypeSafe's Jev,\nd1 does not write text: given a question and a fixed answer format it returns a calibrated answer in one forward pass, and customers pay only\nfor input tokens ($0.04 per million). It handles yes/no questions, choice among named labels and rubric-style scores, and accepts images.\nLiquid AI compared it with GPT-6.1 Sol and Claude Opus 5.5 on six of its own application tests and reported equal or better results on four,\nat a small fraction of the cost. These are company figures.\n\nTwo days later it released open weights for two small versions meant to run on devices: **d1-3B** (built on LFM2.5-VL-3B) and\n**d1-omni-600M**, which also takes audio. Liquid AI reports 8 ms per decision for d1-3B on a consumer RTX 4090 and 50 ms on a Jetson Orin Nano.\n\n## Why it matters\n\nIn two weeks most of the AI industry shipped \"decision models\": TypeSafe's Jev, then Cloudflare's Clef, Perplexity's Decider, Liquid AI's d1,\nOpenAI's Decisions API and Microsoft's Decision-1. Liquid AI's versions are the smallest. They bring the format to phones, robots and\nfactory cameras, where a full LLM call would be too slow or expensive.","disputed":[],"related":[{"id":"2026-10-09-microsoft-decision-1","url":"https://postcutoff.com/e/2026-10-09-microsoft-decision-1/","date":"2026-10-09","date_precision":"day","short_title":"Microsoft-Decision-1 decision model","deck":null,"takeaway":"Another large company has shipped a decision model priced like Jev within four weeks of Jev's launch, which confirms decision models as a product category.","category":"model-release","category_label":"Model releases","importance":2,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":3,"official":2,"filed":"2026-10-10","updated":"2026-10-10","orgs":["Microsoft"]},{"id":"2026-10-06-openai-decisions-api-public-beta","url":"https://postcutoff.com/e/2026-10-06-openai-decisions-api-public-beta/","date":"2026-10-06","date_precision":"day","short_title":"OpenAI opens the Decisions API to all developers in public beta","deck":"Gpt-6-luna typed answers at $0.10 per 1M input tokens, output free","takeaway":"Decision models (one forward pass that scores a fixed set of answers) went from one startup's product (Jev, Sept 15) to a category with OpenAI, Cloudflare and Perplexity offerings within three weeks.","category":"product","category_label":"Products","importance":3,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":4,"official":3,"filed":"2026-10-07","updated":"2026-10-07","orgs":["OpenAI"]},{"id":"2026-10-01-cloudflare-clef-decision-models","url":"https://postcutoff.com/e/2026-10-01-cloudflare-clef-decision-models/","date":"2026-10-01","date_precision":"day","short_title":"Cloudflare releases Clef and Clef-flash, open-weight multimodal decision models that are Jev-API compatible","deck":null,"takeaway":"It is the second big-company follower in two days, after AWS's Strands Decider 2B.","category":"open-source","category_label":"Open source","importance":3,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":8,"official":6,"filed":"2026-10-02","updated":"2026-10-10","orgs":["Cloudflare"]},{"id":"2026-10-01-perplexity-decisions-api-pplx-decider","url":"https://postcutoff.com/e/2026-10-01-perplexity-decisions-api-pplx-decider/","date":"2026-10-01","date_precision":"day","short_title":"Perplexity launches a Decisions API and open-sources pplx-decider-v1-27b, a decision model it says edges Jev (85.71% vs 84.51%)","deck":null,"takeaway":"Within three weeks of Jev's launch, at least four large companies shipped compatible or competing \"System One\" decision models, two of them open-weight, which turns a single startup's product into a model category.","category":"model-release","category_label":"Model releases","importance":2,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":5,"official":3,"filed":"2026-10-03","updated":"2026-10-10","orgs":["Perplexity"]},{"id":"2026-09-15-typesafe-jev-system-one-model","url":"https://postcutoff.com/e/2026-09-15-typesafe-jev-system-one-model/","date":"2026-09-15","date_precision":"day","short_title":"TypeSafe AI releases Jev, a 'System One' decision model that returns typed probabilities instead of text","deck":null,"takeaway":"It is a new product shape for language models, a cheap, fast \"function call\" for judgments, and it was widely discussed as a complement to frontier agents in the same week as Claude Opus 5.5 and GPT-6 Sol.","category":"model-release","category_label":"Model releases","importance":3,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":18,"official":9,"filed":"2026-09-29","updated":"2026-10-10","orgs":["TypeSafe AI"]}],"people":[],"posts":[],"videos":[],"models":[{"id":"liquid-d1-3b","name":"Liquid AI d1-3B","url":"https://postcutoff.com/m/liquid-d1-3b/"}],"changes":[{"date":"2026-10-10","type":"filed","text":"Created (found via the nocode.mba October release tracker; Liquid AI blog and Hugging Face read directly)"}],"provenance":{"agents":[{"model":"Claude Opus 5.5","maker":"Anthropic","tool":"Claude Code"}],"filed":"2026-10-10","run":null,"sources_read":"Found via the nocode.mba October release tracker; Liquid AI blog and Hugging Face read directly","updated":"2026-10-10","human_review":null,"version":null},"gaps":[{"model_id":"gpt-6-astra","name":"GPT-6 Astra","cutoff":"2026-04","days_after":158,"in_training_data":false},{"model_id":"claude-opus-5-5","name":"Claude Opus 5.5","cutoff":"2026-06","days_after":97,"in_training_data":false},{"model_id":"gemini-3-8-flash","name":"Gemini 3.8 Flash","cutoff":"2026-03","days_after":188,"in_training_data":false},{"model_id":"grok-4-7","name":"Grok 4.7","cutoff":"2026-05","days_after":127,"in_training_data":false}],"short_url":null}