Intel / article

Qwen3: Think Deeper, Act Faster

Source: qwenlm.github.io
Date: Jul 21, 2026

Why it matters

Qwen3 launches with flagship 235B MoE rivaling DeepSeek-R1 and Gemini-2.5-Pro
Small 30B-A3B MoE beats QwQ-32B despite fewer active params
Available across Hugging Face, ModelScope, Kaggle, and Qwen Chat

Key quotes

“Our flagship model, Qwen3-235B-A22B, achieves competitive results in benchmark evaluations of coding, math, general capabilities, etc., when compared to other top-tier models such as DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini-2.5-Pro.”

“Additionally, the small MoE model, Qwen3-30B-A3B, outcompetes QwQ-32B with 10 times of activated parameters, and even a tiny model like Qwen3-4B can rival the performance of Qwen2.”

Transcript

QWEN CHAT GitHub Hugging Face ModelScope Kaggle DEMO DISCORD Introduction Today, we are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models. Our flagship model, Qwen3-235B-A22B, achieves competitive results in benchmark evaluations of coding, math, general capabilities, etc., when compared to other top-tier models such as DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini-2.5-Pro. Additionally, the small MoE model, Qwen3-30B-A3B, outcompetes QwQ-32B with 10 times of activated parameters, and even a tiny model like Qwen3-4B can rival the performance of Qwen2.

Read the source ↗qwenlm.github.io