by QwenReleased 28 April 2025
The 8B dense Qwen3, which moves between a thinking mode for maths, coding and logic and a quick mode for general chat, fitting into agents and writing creatively in over 100 languages, up to 131K with YaRN
Reads about 130 pages · writes up to 8,1 pages
Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.
Shaping the reply
How long, how varied, where to stop.
max_tokenstemperaturetop_ptop_kstopseedfrequency_penaltypresence_penaltyReasoning
Let it think before answering — and see the thinking.
reasoninginclude_reasoningStructured output
Get JSON you can parse instead of prose.
response_formatTools
Let the model call your functions.
toolstool_choiceNo. Qwen has retired it. Other Qwen models are on sale.
The 8B dense Qwen3, which moves between a thinking mode for maths, coding and logic and a quick mode for general chat, fitting into agents and writing creatively in over 100 languages, up to 131K with YaRN.
Qwen lists 119 languages and dialects for Qwen3, French and several Arabic varieties among them (Standard, Egyptian, Moroccan and Tunisian Arabic, for example). Algerian Darja is not named.
It reads text. Up to 131K tokens in one request, about 130 pages. It writes up to 6 000 words at once.
Yes, its weights are public. Open weights on Hugging Face
Qwen. Released 28 April 2025. It knows the world up to 31 March 2025.
The 8B Qwen3 Embedding, carrying Qwen3's multilingual reach and long-text understanding into vectors for text and code retrieval, classification, clustering and bitext mining; the 4B is its smaller sibling
Qwen3 Reranker 8B reads a search question together with each candidate text and gives each pair a relevance score, so the best matches rise to the top. It covers over 100 languages and programming languages, and you can tell it what counts as relevant for your task. Use it as the second pass after a search step such as Qwen3's text-meaning models has fetched candidates, to put your answers in order. It does not write text itself.
Qwen3 Embedding 4B turns text into a fingerprint of its meaning, so search finds text that means the same even in other words or another language. It covers over 100 languages, code included, and reads about 32 pages at once, which suits searching documents or code, grouping similar texts and matching translations.
Qwen-Audio-3.0-TTS Plus reads text and speaks it aloud, and Alibaba's docs say it takes plain-language directions for speech rate, emotion and speaking style. It is the higher-quality tier of the two Qwen-Audio-3.0 speech models, made by Alibaba. Pick it for narration, voiceover or any line where voice quality matters more than speed.
From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 9 Oct 2026.
Thinks first
Works through the problem before it answers.
Uses your tools
Can call functions your code provides.
Fills your JSON No.
Answers in the JSON shape you give it.
Searches the web No.
Can look things up online while it answers.
Cheaper on repeats No.
A prompt it saw a moment ago costs less the second time.
Open weights
The model's weights are public.
Knows events up to 31 Mar 2025
What it learned stops at this date.
Work through a maths or logic problem step by step
Thinks first
Translate product pages between French and Arabic
Call your booking API to answer a customer
Uses your tools