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Qwen3-4B is an open-weights model from Qwen, with 4.02 billion parameters and no API price: the cost depends on where you run it. The declared license is apache-2.0.
Each tick is an open model in the catalog; the black tick is the median. Logarithmic scale: each axis mark is ten times the previous one. Downloads in the last 30 days, from the Hugging Face API.
Price
Open-weights model, with no API price from the company: the cost depends on where you run it (your own server or a cloud provider).1
All 11 from Qwen Compare with other models Full price table
Quality on tests
Qwen3-4B does not appear on the LMArena text leaderboard published on Oct 8, 2026, or it appears under a name that CertuAI could not match to this model with certainty.5
Open Portuguese LLM Leaderboard, by the average across the Portuguese-language tests. The gray ticks are the other open models in this catalog evaluated there.
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Qwen3-4B is an open-weights model: anyone can download and run it, so there is no single price. What it costs depends on where you run it (on your own server or on a cloud provider, each with its own price list). Qwen publishes API pricing on its own page, but it is not included here because Alibaba Cloud's terms prohibit collecting content with bots without written authorization: the price is not published on a page open to automated reading.
Source:Hugging Face, public models API, queried Oct 9, 2026. What the number measures: Data from the company's official repository on Hugging Face: the license declared on the model card, the total parameters of the safetensors files (when the repository publishes them), downloads in the last 30 days and all-time, likes, the main task, whether the download requires accepting terms first and the position limit from config.json (max_position_embeddings, a technical ceiling that is not the advertised context window). How the name was matched: Text-generation repositories from each company's official organizations are included: the 6 most downloaded in 30 days and the 6 with the most likes, without quantized versions, Base models, safety or test models, with at least 1,000 downloads in 30 days. A repository with the same name as a model on the same company's pricing page becomes a single model.
What it reads: inferred from the main task declared in the official Hugging Face repository (text-generation). A field the official source does not provide is left out of the fact sheet and shows up in the “Not stated in the official source” line.
Source:Open Portuguese LLM Leaderboard (open leaderboard of models in Portuguese) (Apache 2.0 license), queried Oct 9, 2026. What the number measures: Average, from 0 to 100, of nine tests in Portuguese: ENEM (Brazil's national high school exam), USP and Unicamp entrance exams (BLUEX), the OAB exam (Brazil's bar exam), sentence understanding (ASSIN2 RTE and STS, FaQuAD NLI), hate speech (HateBR and Portuguese Hate Speech) and sentiment in tweets (TweetSentBR). The leaderboard only evaluates open-weights models, running the weights at the indicated precision, and is archived (it does not take new models). How the name was matched: The evaluated repository on Hugging Face is the same official company repository the catalog uses for the model. The normalized average (NPM) subtracts what a random guess would get right on each test.
Source:LMArena, text leaderboard, public dataset on Hugging Face (CC BY 4.0 license), published Oct 8, 2026, queried Oct 9, 2026. What the number measures: Score from the LMArena text leaderboard, in the style-control version and the overall category: people send the same question to two models without knowing which they are and vote for the better answer, and LMArena turns the votes into a score. The higher it is, the more often the model won. The confidence band is the interval LMArena itself publishes for the score. The rank is the one on the full leaderboard, which has models outside this catalog. How the name was matched: Same company and same name, ignoring periods, spaces and hyphens. It also accepts the name with the reasoning level at the end (high, medium, low, minimal) and the name with a date at the end when LMArena only knows that model by a date.
In short
Qwen's Qwen3-4B is an open-weights model, with no API price from the company. See its license, size, downloads and test scores, with source and date.
About CertuAI: CertuAI is the AI that answers a small business's WhatsApp, Instagram and Messenger 24/7, with a built-in CRM, and is a Tech Provider on Meta's WhatsApp Business Platform. Paid plans start at US$ 75 a month, with no lock-in. Create my agent
