Mercury 2.5 LLM hits 770 tokens per second in speed benchmarks
Retro_Dev · hn · 2026-09-24
According to Artificial Analysis benchmarks, Mercury 2.5 delivers inference at 770 tokens per second, far above typical frontier-model output speeds. The Mercury line uses a diffusion-based text generation approach, and these numbers underscore the route's potential for low-latency inference.
More from Infra
- UK Sovereign AI invests in Fractile to build next-gen frontier AI chips — charlieharris01 · 2026-11-11
- What happened when I moved vector retrieval into Snowflake SQL instead of orchestrating RAG outside — dima806_dima · 2026-11-11
- AI chip startup Fractile raises $720M Series C for DRAM-on-processor design — Tom_Westgarth15 · 2026-11-11
- Mobile AI Factory: agentic pipeline builds on-device SLMs that beat 5-shot frontier models — kalyan_kpl · 2026-11-11
- Vivo's Starlink direct-to-cell service hits 10M users in two weeks across Brazil — XFreeze · 2026-11-11
- Nan Ya Plastics to spend NT$11.53B on fifth glass fabric plant on AI server demand — zephyr_z9 · 2026-11-11