Tag: #alibaba

Qwen 3.7 Max: Alibaba's Agent-First Flagship (2026)

Qwen 3.7 Max is Alibaba's flagship agent model with 1M context, SWE-Pro 60.6, and Terminal-Bench 69.7. How it compares and what it costs on SandBase.

Model Introduction August 3, 2026 qwen-3.7alibabaai-agent

Qwen 3.8 Max: Alibaba's 2.4T Multimodal Flagship

Qwen 3.8 Max is Alibaba's 2.4 trillion parameter multimodal flagship with 1M context, MoE architecture, and top Arena.AI rankings. Specs, pricing, and how to access it on SandBase.

Model Introduction August 3, 2026 qwen-3.8alibabamultimodal

Qwen-Image-3: Generation + Edit in One Model

Deep dive into Alibaba's Qwen-Image-3 — a unified model for image generation and prompt-based editing with strong multilingual support, available on SandBase.

Model Introduction August 1, 2026 image-generationalibabaqwen-image-3

text-embedding-v4: Bilingual Embeddings for CJK

Deep dive into Alibaba's text-embedding-v4 — 8192 token context, CJK+English alignment, code-aware embeddings, architecture analysis, cost math, and real-world RAG scenarios with specific numbers.

Developer Tools August 1, 2026 embeddingsalibabatext-embedding-v4

Qwen 3.6 for Agents: Alibaba's Efficient Open Model

Qwen 3.6 is Alibaba's open-source LLM that punches above its size on SWE-bench. Why a smaller, efficient model is often the smarter agent default.

Model Introduction June 6, 2026 ai-agentqwenqwen-3.6