Mercury 3 is the most capable diffusion LLM released to date. It outperforms GPT-6 Luna and Claude Haiku 5.5 while running 4–8x faster at 1,000+ tokens per second.
Mercury 3 is more than 40x the size of Mercury 1, and it still generates at over 1,000 tokens/sec on NVIDIA Blackwell GPUs.
It's a diffusion LLM, generating and refining tokens in parallel instead of predicting them one by one. The context window has also grown from 260K to 1M tokens, with Inception reporting performance around GPT-6 Luna and Claude Haiku 5.5.
Early partners are already using it for browser agents, real-time tutoring, search and customer support. A browser agent might call the model dozens of times for one task, so those seconds can add up quickly.
It's available through an OpenAI-compatible API and OpenRouter.
1000 tokens/sec is wild 🔥 diffusion for coding feels like the right bet. cheaper than haiku too?
Congrats team! 40x scale with no slowdown on a diffusion LLM is a serious claim, I'd love to see latency side by side with autoregressive models at the same quality. Big fan of the approach, good luck today.
The browser-agent example is where the speed story gets interesting. I would be curious to see end-to-end task timings with the tool calls included.
About Mercury 3 on Product Hunt
“The diffusion LLM that scaled 40x without slowing down”
Mercury 3 launched on Product Hunt on October 22nd, 2026 and earned 112 upvotes and 4 comments, placing #11 on the daily leaderboard. Mercury 3 is the most capable diffusion LLM released to date. It outperforms GPT-6 Luna and Claude Haiku 5.5 while running 4–8x faster at 1,000+ tokens per second.
Mercury 3 was featured in API (98.8k followers), Artificial Intelligence (481.9k followers) and Development (6.3k followers) on Product Hunt. Together, these topics include over 147.9k products, making this a competitive space to launch in.
Who hunted Mercury 3?
Mercury 3 was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Mercury 3 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo
Hi everyone!
Mercury 3 is more than 40x the size of Mercury 1, and it still generates at over 1,000 tokens/sec on NVIDIA Blackwell GPUs.
It's a diffusion LLM, generating and refining tokens in parallel instead of predicting them one by one. The context window has also grown from 260K to 1M tokens, with Inception reporting performance around GPT-6 Luna and Claude Haiku 5.5.
Early partners are already using it for browser agents, real-time tutoring, search and customer support. A browser agent might call the model dozens of times for one task, so those seconds can add up quickly.
It's available through an OpenAI-compatible API and OpenRouter.