# Qwen

> Markdown twin of https://roboterminal.app/companies/qwen · https://roboterminal.app/companies/qwen.md

## On shared sources

- [Bittensor](https://roboterminal.app/companies/bittensor) (1)
- [E-Commerce Bench](https://roboterminal.app/companies/e-commerce-bench) (1)
- [Lium](https://roboterminal.app/companies/lium) (1)
- [Mistral](https://roboterminal.app/companies/mistral) (1)
- [NVIDIA](https://roboterminal.app/companies/nvidia) (1)
- [Prime Intellect](https://roboterminal.app/companies/prime-intellect) (1)
- [Runpod](https://roboterminal.app/companies/runpod) (1)
- [Tencent](https://roboterminal.app/companies/tencent) (1)
- [YC](https://roboterminal.app/companies/yc) (1)
- [Zai](https://roboterminal.app/companies/zai) (1)

## Pulse

- [@stretchcloud on X](https://x.com/stretchcloud/status/2096953129975824693)
  A model that optimizes its own training pipeline is a different kind of release. Hy4 is a 770B MoE with 49B active parameters and a 1M-token context, open-sourced by Tencent. The headline number most …
- [@stretchcloud on X](https://x.com/stretchcloud/status/2096679828825190746)
  The inference cost gap between centralized APIs and decentralized GPU networks is getting hard to ignore. Qwen3.6 35B running at 14,499 tokens per second on a single B200 GPU on Lium. 85% cheaper than…
- [@stretchcloud on X](https://x.com/stretchcloud/status/2096344369498337639)
  The framing from YC's latest hackathon is different from what I usually see from accelerators: build and own your own intelligence. Not your own product. Not your own LLM wrapper. Specifically: your o…
- [@stretchcloud on X](https://x.com/stretchcloud/status/2095946245164454137)
  Qwen3.8-Flash-Next just made the 180B parameter class meaningfully accessible. The architecture is worth understanding: 125B language model parameters, 55B auxiliary, but only 6B activate per token. T…
- [@stretchcloud on X](https://x.com/stretchcloud/status/2095768833437184166)
  The hardest thing to benchmark is not intelligence. It is judgment over a full year. E-Commerce Bench, released this week by the Qwen team, is the first benchmark that runs an LLM agent through a full…
- [@tphuang on X](https://x.com/tphuang/status/2095450655796404226)
  Zai presentation on AI TAM & long task time horizon was lightbulb for me on where AI is going. Since business pay the bills & they demand Autonomous AI able to operate long period of time, that's wher…

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Source: Roboterminal · https://roboterminal.app/companies/qwen.md