Alibaba's Qwen3.8-Max Lands on Five Hosted Platforms with Open Weights
Between August 13 and 15, Alibaba's flagship MoE model Qwen3.8-Max (also referred to as Qwen3.8-2.4T-A95B) rolled out across five hosted inference platforms — Modal, DigitalOcean Serverless, Nebius Token Factory, Fireworks and SiliconFlow — with open model weights. The model has 2.4T total parameters with 95B active, supports a full 1M-token context window, and targets autonomous agents and long-running coding tasks; SiliconFlow lists it at $2/M input and $6/M output tokens.
Confirmed
- Model specs: 2.4T total parameters, 95B active, MoE architecture, full 1M-token context window
- Modal (from Aug 13): deployed with a custom DFlash speculative decoder trained on tool-call-dense data
- DigitalOcean Serverless: runs on NVIDIA HGX B300 GPUs, usage-based billing with no infrastructure management, designed for long-horizon coding
- Nebius Token Factory: Day 0 partner launch, with open weights announced
- Fireworks: Day-0 support as a launch partner, positioned for autonomous agents, heavy coding and long-context scenarios
- SiliconFlow: model open-sourced and live; API priced at $2/M input and $6/M output tokens, with a discounted cached-input rate mentioned (post truncated); the official post highlights autonomous coding, deep research and end-to-end agent execution
Timeline
- Aug 13: First launch on Modal (under the name Qwen3.8-2.4T-A95B)
- Aug 14: DigitalOcean Serverless, Nebius Token Factory and Fireworks announcements follow
- Aug 15: SiliconFlow launch with public API pricing
Why it matters
- A flagship MoE model reached five major hosting platforms with open weights within three days, sharply lowering the barrier for long-context agentic coding workloads
- Differentiated platform configurations (Modal's DFlash speculative decoding, DigitalOcean's B300 deployment) plus SiliconFlow's transparent per-token pricing give developers directly comparable deployment options
2026-08-13 ~ 2026-08-15 · 6 related posts
- Episode 1: Alibaba's Qwen Open-Sources Qwen3.8-Max, a 2.4T-Parameter Flagship MoE Model(2026-08-12, 21 posts)
- Episode 2: Unsloth Shrinks Qwen3.8 by 91% for Local Deployment(2026-08-13, 3 posts)
- Episode 3: vLLM Announces Day-0 Support for Qwen3.8 2.4T Model(2026-08-13, 2 posts)
- Episode 4: Together AI Launches Serverless Inference for Qwen3.8-2.4T-A95B(2026-08-13, 2 posts)
- Episode 5: Alibaba's Qwen3.8-Max Lands on Five Hosted Platforms with Open Weights(2026-08-13, 6 posts)
Primary sources
- Qwen3.8-2.4T-A95B Available on Modal with 1M Token Context — AAAzzam · 2026-08-13
- [source] Qwen3.8-Max launches on Fireworks with Day-0 support: 2.4T-param MoE for agents and coding — Alibaba_Qwen · 2026-08-14
- [source] Qwen3.8-Max launches on DigitalOcean Serverless with 1M context — Alibaba_Qwen · 2026-08-14
- Qwen 3.8-Max Now on Modal: 2.4T Params, 1M Context, Custom DFlash Speculator — AAAzzam · 2026-08-14
- Qwen3.8-Max open weights now on Nebius Token Factory Day 0 — Arindam_1729 · 2026-08-14
- [source] Qwen3.8-2.4T-A95B now on SiliconFlow: $2/M input, $6/M output — Alibaba_Qwen · 2026-08-15