Qwen3.8-2.4T-A95B
Alibaba's Qwen team has released a very large free-to-download model for developers, aimed at writing code and handling longer multi-step tasks, under restricted terms.
Key facts
- Released
- Aug 8, 2026
- What it does
- Text and chat: Writes, answers questions and holds a conversation.Thinks first: Can reason step by step before it answers: slower, but better at maths, code and tricky questions.
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- How
- Free to download, with some licence limits
- Size
- Parameters: The numbers a model learns during training: a rough measure of its size. Bigger usually means more capable, but slower and pricier to run. 7B means 7 billion.
- Announced as
- “Qwen3.8-2.4T-A95B”
From trckr's archive of releases before it started watching. Date and details from Epoch AI's database of AI models (CC BY 4.0).
Price and limits
What developers pay to use it through the API: How developers plug a model into their own apps and pay per use. A model that's "in the API" can be used by programmers, even if it isn't in a chat app yet., per million Tokens: The small chunks of text a model reads and writes, about three-quarters of a word each. Prices and limits are counted in tokens. sent (input) or written back (output), and how much it can take in at once.
- Input
- $2.00
- per million tokensCached: $0.25
- Output
- $6.00
- per million tokens
- Context window: How much a model can keep in mind at once: your question, any files you share and its own replies. Measured in tokens; 1,000 tokens is about 750 words.
- 1.05M tokens
- about 790,000 words
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- Longest answer
- 131K tokens (about 98,000 words)
From OpenRouter, checked .
Compare Qwen3.8-2.4T-A95B with
It came out 12 days after Qwen3.7 Flash, the lab's previous model.
The details
Qwen3.8-2.4T-A95B is a Post-training: The finishing stage after the main training, where a model learns to follow instructions, use tools, be helpful and avoid harm. causal Language model (LLM): A model trained on huge amounts of text to read and write. The engine behind chatbots like ChatGPT, Claude and Gemini. from Alibaba's Qwen team with about 2,400 billion parameters: Data-centre scale: it runs on many chips (GPUs) at once. Parameters are the numbers a model learns: a rough measure of its size. (95B active per Tokens: The small chunks of text a model reads and writes, about three-quarters of a word each. Prices and limits are counted in tokens.), released as Open weights: The model's files are public, so anyone can download it, run it on their own computer and build on it, usually for free. trckr labels these "Open". under a restricted license. It is designed for coding, professional work, research, and multi-step Agent: An AI that doesn't just answer but takes steps on its own to finish a task: searching the web, running code or using apps. tasks.
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From Qwen and every other major lab.