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Mercury 2.5

The diffusion LLM that generates at 1,100+ tokens/sec

Details

External ID
1245269
Source
PH
Company
—
Product
Mercury 2.5
Website domain
producthunt.com
Launched
Sept. 9, 2026
Cohort
—
Upvotes
3
Upvotes percentile
0.8905013897797733
Tags
API, Artificial Intelligence, Development
Fetched at
Sept. 10, 2026, 1:14 a.m.
Updated at
Sept. 10, 2026, 1:14 a.m.

Description

Mercury 2.5 is Inception's most capable diffusion language model yet, generating at over 1,100 tokens per second by producing text in parallel instead of one token at a time. It brings a 40% intelligence improvement over Mercury 2, 260K context, tunable reasoning, parallel tool calls, and structured JSON — built for latency-sensitive search, voice, coding, and agent workloads.

Enrichment

Theme
lightweight and on-device AI runtimes
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
fast diffusion language model
Manually corrected
False

Could you build this?

No Developing a novel diffusion-based language model capable of 1,100+ tokens/sec requires cutting-edge machine learning research, massive GPU clusters, and custom model architecture design.

What it would actually take: Building a diffusion language model requires a distributed training pipeline using PyTorch, Megatron-LM/DeepSpeed, and a cluster of hundreds or thousands of H100 GPUs. The hard part is formulating a continuous or discrete diffusion formulation for parallel text decoding that matches autoregressive perplexity while scaling to 260K context. This demands world-class AI researchers and multi-million-dollar compute budgets.

Competitors

Other products that read as similar to this one — 33 launches clear the similarity bar, closest 8 shown.

Attention rank: #6 of 34 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 303 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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