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Mercury 3 [Inception Labs] - Matching Luna/Haiku at 1000 tokens/sec

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.

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Key points

  • 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.

Early‑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.

Model pages: GPT-6 Luna → · Claude Haiku 5.5 → · GPT-6.1 Sol →

Full story from inceptionlabs.ai · via Reddit AI communitiesOpen source ↗

Mercury 3 [Inception Labs] - Matching Luna/Haiku at 1000 tokens/sec

inceptionlabs.ai · 19 October 2026

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This text was published by inceptionlabs.ai. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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Inception LabsTinyFish AIOcten AILorikeetAudivi AIOpenRouterMercury 3GPT-6 LunaClaude Haiku 5.5GPT-6.1-SolJevShuhao ZhangMichael TongKuan ZouMichael Gribben

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