Model reference · open weights
Qwen3.8-2.4T is an open-weight language model from Qwen, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
Qwen3.8-2.4T-A95B [](https://chat.qwen.ai/?models=qwen3.8-max) [!Note] This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with vLLM, SGLang, TokenSpeed, etc. [!Tip] For users seeking managed, scalable inference without infrastructure maintenance, the official Qwen API service is provided by Qwen Cloud. In particular, Qwen3.8-Max is the official version based on Qwen3.8-2.4T-A95B with more features, such as vision input & non-thinking support, 1M context length by default, official built-in tools, etc. For more information, please refer to the Qwen3.8-Max Overview. Following the widespread community adoption of the Qwen3.5 and Qwen3.6 series, we are pleased to introduce Qwen3.8, the most capable generation in the Qwen open-model family to date. For the first time, Qwen3.8 brings a Qwen-Max-class model to open release. Built on the architectural foundation of Qwen3.5, Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks. Beyond answering harder questions, Qwen3.8 is designed to carry complex, multi-step tasks through to completion with greater reliability. Qwen3.8 Highlights Qwen3.8 features the following enhancements: - Core Capabilities: Comprehensive improvements across coding, professional work, research, and long-horizon agentic tasks. - Agent Execution: Stronger autonomous planning and better handling of environment feedback, leading to more reliable end-to-end task completion. - Downstream Compatibility: Broader support for popular harnesses and development tools, making it easier to integrate into your existing stack. - Flexible Thinking Control: Reasoning depth can be tuned with reasoningeffort, and reasoning context from historical messages is retained via preservethinking. For more details, please refer to our blog post Qwen3.8-Max. Model Overview - Type: Causal Language Model - Training Stage: Pre-training & Post-training - Language Model - Number of Parameters: 2.4T in total and 95B activated - Hidden Dimension: 8192 - Token Embedding: 248,320 (Padded) - Number of Layers: 92 - Hidden La
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | Qwen |
|---|---|
| Type | Language models |
| Parameters (lead) | 2446.2B |
| Context | 256k tokens |
| Variants | 2 |
| Runs with | transformers |
| Released | 2026-08-08 |
| Popularity | 35k downloads / month |
| Likes | 1,183 |
| Licence | Commercial licence needed |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
Using it via the API
Once AxForge deploys qwen3-8-2-4t for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (qwen3-8-2-4t below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"qwen3-8-2-4t","messages":[{"role":"user","content":"Hello"}]}'
Details
Tags
Licence
The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗