Released the day before, ranks second on Arena WebDev behind Fable 5.1.
Qwen 3.8 Max
by Alibaba
Alibaba's open-weights 2.4T-parameter MoE language model (95B active) from the Qwen3.8 family, with a hosted Max version.
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Qwen 3.8 Max at a glance
- What is Qwen 3.8 Max?
- Qwen 3.8 Max is a model from Alibaba. Alibaba's open-weights 2.4T-parameter MoE language model (95B active) from the Qwen3.8 family, with a hosted Max version.
- Who makes Qwen 3.8 Max?
- Qwen 3.8 Max is made by Alibaba.
- Does Qwen 3.8 Max work in the EU?
- Available in the EU. Weights are downloadable from Hugging Face with no EU exclusion in the provided material, though the custom license text was not seen in full. Hosted access is via Qwen Cloud and Qwen Studio; EU data residency was not confirmed. Last verified 14 Nov 2026.
- How much does Qwen 3.8 Max cost?
- Open source. Weights are free to download under the custom Qwen3.8-Max license. Hosted Qwen3.8-Max is available through the paid Qwen Cloud API; pricing was not given in the provided material. Free chat access via Qwen Studio. The release date is taken from the Hugging Face repo creation date. Licence: Qwen3.8-Max license (custom).
- Where was Qwen 3.8 Max shown?
- In 8 creator videos by AI Search, Matthew Berman, Matt Wolfe. Most recently by AI Search on 3 Sept 2026, at 30:12 in “Claude Fable 5.1 is savage”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
Qwen3.8-2.4T-A95B is a causal language model from Alibaba's Qwen team and the basis for the hosted Qwen3.8-Max. It is a mixture-of-experts model with 2.4T total and 95B active parameters, 92 layers, and 512 experts (10 routed plus 1 shared). It uses a hybrid layout of Gated DeltaNet and Gated Attention blocks and was trained with multi-token prediction. Native context is 262,144 tokens, extensible to about 1,010,000.
Alibaba describes it as the first Qwen-Max-class model released as open weights. The focus is coding, professional work, research and long-horizon agentic tasks, with better planning and handling of environment feedback. Reasoning depth is adjustable via reasoning_effort, and preserve_thinking keeps reasoning from earlier messages. Creators cite a score of 58 on the Artificial Analysis index and a second-place Arena WebDev ranking; these are third-party reports, not verified here.
The weights are on Hugging Face in Transformers/safetensors format and work with vLLM, SGLang and similar engines. Creators put the download at roughly 4.8 TB, so self-hosting needs a large multi-GPU setup. The license is a custom "qwen3.8-max" license, not a standard open-source one. Alibaba's Qwen Cloud API offers the official Qwen3.8-Max, which adds vision input, non-thinking mode, 1M context by default and built-in tools. The open checkpoint is text-only.
- 2.4T total / 95B active parameter MoE with 512 experts
- Hybrid Gated DeltaNet and Gated Attention architecture
- 262K native context, extensible to ~1M tokens
- Adjustable reasoning effort and preserved thinking across turns
- Compatible with vLLM, SGLang and Transformers
- Hosted Qwen3.8-Max adds vision input, non-thinking mode and built-in tools
As seen on YouTube
Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.
Open weights model scoring 58 on the Artificial Analysis index. Over 151,000 Qwen derivative models exist, and Airbnb and Thomson Reuters use Qwen.
Open-sourced 2.4T-parameter MoE with 95B active, 4.8 TB in size. Close to frontier closed models and ahead of DeepSeek V4 on the leaderboard, cheaper than GPT and Claude.
2.4T-parameter model, the first Max-class Qwen to be open-sourced with weights promised the following week. Shown running long autonomous tasks over days and ranking just below Kimi K3 on Artificial Analysis; available via API.
2.4 trillion parameter open-weight flagship model. Scores 56.6 on Deep SWE, below Fable, GPT-5.6 Sol and Opus 4.8, but 92.6 on GPQA. Too large to run locally; creator ran it on his Gary Busey SVG bench.
New open-weights ~2.4T parameter model from Alibaba that is competitive with top US closed models on benchmarks (Terminal Bench 86.6 vs 84.6 for Fable), leads in multimodal, document and spatial categories. Highlighted for reproducing research papers with self-generated improvements and autonomous chip design. Priced at $2/M input and $6/M output on OpenRouter, far below GPT-5.6 Soul and Fable.
Teased 2.4 trillion parameter model that Alibaba says will be open weights; available via API preview with no benchmarks yet. Initial reports suggest it trails Kimi K3.
A 2.4 trillion parameter model that Alibaba says will be open weight soon. Alibaba claims it is second only to Fable 5. No benchmarks or API access were available yet.
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