PulseAugur
EN
LIVE 11:29:51
Deutsch(DE) Fast, faster, Qwen. 🚀

Alibaba's Qwen3.5 hits record 580 tps for agentic workloads

Alibaba's Qwen team has achieved a new record for agentic workloads, reaching 580 trillion tokens per second on the TokenSpeed engine. This significant performance boost was accomplished with the help of several key partners. The achievement highlights advancements in AI model efficiency for complex tasks. AI

IMPACT Sets new SOTA for agentic workloads, potentially accelerating AI agent development and deployment.

RANK_REASON Frontier lab (Alibaba/Qwen) announces new model performance milestone. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on X — Qwen (Alibaba) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Alibaba's Qwen3.5 hits record 580 tps for agentic workloads

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Frontier lab (Alibaba/Qwen) announces new model performance milestone. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
121 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. X — Qwen (Alibaba) TIER_1 Deutsch(DE) · Alibaba_Qwen ·

    Fast, faster, Qwen.

    Fast, faster, Qwen. 🚀 Thrilled to see Qwen3.5 reaching a record-breaking 580 tps for agentic workloads on the TokenSpeed engine! This milestone wouldn't be possible without our incredible partners. Huge thanks to @lightseekorg, @NVIDIAAI, the Mooncake team, and @tri_dao for