Models/Vendor
Alibaba
Infrastructure intelligence
Full feed →Compute deals, data centers, silicon, and capex that shape Alibaba's training and inference economics.
- Capexverified
Alibaba commits RMB 380B (~$53B) to AI + cloud infrastructure over 3 years
Alibaba's February 2025 commitment of RMB 380B over three years — its largest infrastructure spend ever — funds new ACS (Alibaba Cloud Smart) data centers in Inner Mongolia, Heilongjiang, and Guizhou. Powers training for the Qwen3 / Qwen3.x family including Qwen3.7-Max. Heavy use of Ascend 910C plus a residual H800 fleet.
Capex: $53B
Models
Filter on /models →Qwen3.7-Max
released 2026-05-20
Alibaba's flagship agent model — 1M-token context, extended-thinking mode, 56.6 on the Artificial Analysis Intelligence Index v4.0 (5th overall, #1 Chinese). 50.8% on Terminal-Bench Hard. Designed for long-horizon agent workloads (hundreds-to-thousands of steps). Closed-weight, $2.50/$7.50 per 1M tokens.
- Context
- 1,000,000
- License
- proprietary
Qwen3.6-27B
released 2026-04-22
Alibaba's first dense open-weight in the 3.6 family. Strong agentic-coding scores (77.2 SWE-bench Verified, matching Claude 4.5 Opus on Terminal-Bench 2.0). Supports 201 languages and multimodal text/image/video input.
- Context
- 262,144
- Params
- 27B (dense)
- License
- Apache-2.0
- Source
- open
Qwen3 235B
released 2025-04-29
Predecessor to the Qwen3.6 family.
- Context
- 128,000
- Params
- 235B
- License
- Apache-2.0
- Source
- open
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