Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...
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Inception: Mercury 2 holds the #320 spot for context size out of 392 chat models in the CoreAI catalog — 128K tokens, roughly 96,000 words or 192 pages of text in a single conversation. On price, it is the #101 cheapest of 128 budget-tier models by input cost. It joined the catalog on 2026-03-04. It supports step-by-step reasoning (thinking mode).
Every model in this table is available on CoreAI — open the web app and run the same prompt through Inception: Mercury 2 and LiquidAI: LFM2.5-2.6B (free) side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00063 on Inception: Mercury 2's raw per-token rates; a heavy session with a 50K-token document costs about $0.016. On CoreAI you don't juggle these numbers — one subscription covers Inception: Mercury 2 and 300+ other models under a plan usage limit, with no API keys. See plans.
Inception: Mercury 2 handles 128K tokens of context — roughly 96,000 words, or about 192 pages of text in one conversation.
Inception: Mercury 2's underlying rates are $0.25 per 1M input tokens and $0.75 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
No — Inception: Mercury 2 is text-only. If you need image understanding, its budget-tier peers with vision are listed in the comparison table above.
Yes. Inception: Mercury 2 can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.
Open the CoreAI web app or the iOS/Android app, pick Inception: Mercury 2 in the model selector, and chat — no API key, no per-token billing. One subscription covers Inception: Mercury 2 and 300+ other models.
The closest alternatives on CoreAI are LiquidAI: LFM2.5-2.6B (free), inclusionAI: Ling-2.6-flash — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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