Inception Releases Mercury 3 Diffusion AI Model
Inception Labs has launched Mercury 3, a fast diffusion-based language model designed to deliver frontier-level intelligence at extremely low operational costs for agentic AI workflows.

Inception Labs has released Mercury 3, the latest model in its diffusion language architecture line. Built with over 40 times the total parameters of Mercury 1 and a threefold improvement in aggregate benchmark intelligence, the model generates text at 1,068 tokens per second on NVIDIA GPUs. It expands its context window to 1 million tokens, up from 260,000 in Mercury 2.5. Standard API rates are $0.20 per million input tokens and $0.70 per million output tokens, while launch promotional pricing drops rates to $0.10 for input, $0.35 for output, and $0.01 for cached inputs. Inception offers 100 million free tokens for new accounts, with integration available via OpenRouter, Vercel AI Gateway, Baseten, and Mercury Chat.
Unlike autoregressive models, Mercury 3 relies on parallel diffusion processing alongside features like reasoning controls, tool calling, and structured output capabilities. In inception-published evaluations, Mercury 3 leads GPT-6 Luna and Claude Haiku 5.5 across benchmarks including SWE-Bench Atlas, DeepSearchQA, and GPQA Diamond. On BrowseComp+, Mercury 3 scored 55.18 compared to 50.50 for Luna and 45.78 for Haiku 5.5. Though Haiku retained leads on DeepSWE v1 and MRCR v2, and Luna won one long-context test, Mercury 3 also completed 50% of 50 live Mind2Web browser tasks, outperforming GPT-6.1 Sol.
For developers, the release opens up ultra-fast, affordable execution for multi-step agent workflows. In preliminary API testing totaling $0.04160 across eight runs, the model generated functional HTML game code for a 25-by-25 dungeon map that passed 2,000 checks, correctly calculated business metrics resulting in $900 in daily gross profit, $756 in monthly gross savings, and $576 in net benefit, and answered a logic puzzle for $0.00014. Despite minor constraint slips—such as returning 274 words when asked for 250—it successfully navigated web searches and hallucination prompts. Alongside siblings like Mercury Voice and Mercury Decide, Mercury 3 presents a viable high-speed alternative to standard models.
This is our own summary of reporting by The Neuron



