{"version":1,"type":"story","url":"https://digestai.news/story/mercury-3-inception-labs-matching-luna-haiku-at-1000-tokens-sec","json":"https://digestai.news/story/mercury-3-inception-labs-matching-luna-haiku-at-1000-tokens-sec.json","markdown":"https://digestai.news/story/mercury-3-inception-labs-matching-luna-haiku-at-1000-tokens-sec.md","slug":"mercury-3-inception-labs-matching-luna-haiku-at-1000-tokens-sec","headline":"Mercury 3 [Inception Labs] - Matching Luna/Haiku at 1000 tokens/sec","summary":"The model supports a 1M‑token context window (up from 260K for Mercury 2.5) and is priced at $0.20 per million input and $0.70 per million output tokens, with a launch discount of 50% to $0.10 per million input and $0.35 per million output tokens; cached tokens are 90% off the input price.\n\nEarly‑access partners including TinyFish AI, Octen AI, Lorikeet and others report real‑time use cases. TinyFish AI uses Mercury 3 for voice tutoring with feedback returning in about a second. In a benchmark of 50 live Mind2Web navigation tasks, Mercury 3 completed 50% of the tasks, outperforming GPT‑6.1‑Sol while using the same token volume and agent steps. The model is available via the Inception API Platform, OpenRouter, Baseten and Vercel and is OpenAI‑API compatible.","keyPoints":["Launch price is $0.10 per million input and $0.35 per million output tokens, 50% off regular rates.","Early partners report median generation 0.9 s, end‑to‑end 2.2 s, and 50% task completion on 50 Mind2Web tests."],"whyItMatters":"A diffusion LLM matching or exceeding the speed of leading autoregressive models opens low‑latency AI services for voice, search and support at lower cost.","category":{"slug":"models","name":"Generative AI & Models","url":"https://digestai.news/category/models"},"entities":{"companies":["Inception Labs","TinyFish AI","Octen AI","Lorikeet","Audivi AI","OpenRouter"],"models":["Mercury 3","GPT-6 Luna","Claude Haiku 5.5","GPT-6.1-Sol","Jev"],"people":["Shuhao Zhang","Michael Tong","Kuan Zou","Michael Gribben"]},"firstPublishedAt":"2026-10-19T17:22:01Z","updatedAt":"2026-10-19T18:01:12Z","sourceCount":2,"hasPrimarySource":false,"sources":[{"outlet":"inceptionlabs.ai","title":"Mercury 3 [Inception Labs] - Matching Luna/Haiku at 1000 tokens/sec","url":"https://inceptionlabs.ai/blog/introducing-mercury-3","publishedAt":"2026-10-19T17:22:01Z","type":"press","primary":false,"lead":true},{"outlet":"Unite.AI","title":"Inception Releases Mercury 3, Its Flagship Diffusion LLM","url":"https://unite.ai/inception-releases-mercury-3-its-flagship-diffusion-llm","publishedAt":"2026-10-19T18:01:12Z","type":"press","primary":false,"lead":false}],"sourceNotes":null,"discussions":[{"site":"Reddit","url":"https://www.reddit.com/r/singularity/comments/1xa30cc/mercury_3_inception_labs_matching_lunahaiku_at/","points":null}],"thread":null,"cite":{"text":"Digest AI, \"Mercury 3 [Inception Labs] - Matching Luna/Haiku at 1000 tokens/sec\", 19 October 2026, https://digestai.news/story/mercury-3-inception-labs-matching-luna-haiku-at-1000-tokens-sec","publisher":"Digest AI","title":"Mercury 3 [Inception Labs] - Matching Luna/Haiku at 1000 tokens/sec","datePublished":"2026-10-19T17:22:01Z","url":"https://digestai.news/story/mercury-3-inception-labs-matching-luna-haiku-at-1000-tokens-sec"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}