Qwen3 upgraded version, surprises are coming
Today, the Qwen3 model has been updated to Qwen3-235B-Instruct-2507-FP8, significantly enhancing its capabilities in instruction following, logical reasoning, and text understanding, surpassing several top models. The new model excels in multilingual knowledge coverage, user preference alignment, and long text comprehension, and has been open-sourced in the Modao community and HuggingFace. Risk warning: The market has risks, and investment should be cautious
Today, we updated the flagship Qwen3 model, launching the updated version of Qwen3-235B-A22B-FP8 in non-thinking mode, named Qwen3-235B-A22B-Instruct-2507-FP8.
The new Qwen3 model has significantly improved general capabilities, including instruction following, logical reasoning, text understanding, mathematics, science, programming, and tool usage. It has performed excellently in numerous assessments such as GQPA (knowledge), AIME25 (mathematics), LiveCodeBench (programming), Arena-Hard (human preference alignment), and BFCL (Agent capability), surpassing top open-source models like Kimi-K2 and DeepSeek-V3, as well as leading closed-source models like Claude-Opus4-Non-thinking.
In addition, the updated Qwen3 model has enhanced the following key performances:
The model has made significant progress in covering long-tail knowledge in multiple languages.
In subjective and open-ended tasks, the model has significantly enhanced its ability to align with user preferences, providing more useful responses and generating higher quality text.
Long text capability has been increased to 256K, further enhancing contextual understanding.
Currently, the new Qwen3 model has been open-sourced and updated on the Modao community and HuggingFace, inviting developers to experience it.
Tongyi Qianwen Qwen, original title: "Qwen3 Upgrade, Surprises Arrive"
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