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Alibaba
Articles tagged "Alibaba"
5 articles
AI
2026-08-15
Qwen3.8-27B System Requirements — VRAM 9–56GB, Apache-2.0 Licensed [2026]
Qwen3.8-27B weights landed on August 15, 2026. This at-a-glance requirements guide maps VRAM needs to the actual published file sizes: Q4_K_M is 17.1GB and won't fit a 16GB GPU, making IQ4_XS (15.7GB) the practical floor. Licensed Apache-2.0 for commercial use.
Qwen 3.8
Requirements
VRAM
AI
2026-08-04
Qwen3.8 Max: 2.4T MoE, 95B Active, Pricing & Open Weights
Qwen3.8 Max: Alibaba's 2.4T sparse MoE, ~95B active/token. SWE-bench 87.3%. API from $2.00/$6.00/M tokens (in/out). Open weights promised. Updated Aug. 2026.
Qwen 3.8
Alibaba
MoE
AI
2026-08-03
Qwen3.7 Flash Explained: $0.03 per Million Tokens, 1M Context, and What This Closed Vision-Language Model Can (and Can't) Do (2026)
Qwen3.7 Flash: Alibaba's closed vision model, priced from $0.03 per million input tokens, 1M-token context. Tiered pricing, use cases, limits. Updated Aug. 2026.
Qwen 3.7
Alibaba
API料金
AI
2026-05-01
Qwen 3.6-27B Released — Dense 27B Leads Agentic Coding, 40 tok/s on RTX 3090 [April 2026]
Qwen 3.6-27B Dense from Alibaba's Qwen Team, released April 22, 2026: 77.2 on SWE-bench Verified, 59.3 on Terminal-Bench 2.0 (matching Claude 4.5 Opus), 262K-to-1M context, Apache 2.0 license, and 40 tok/s on an RTX 3090 with Q4_K_M — summarized from official sources.
Qwen 3.6
Alibaba
オープンソースLLM
AI
2026-04-10
Qwen 3.6 Plus Complete Guide — 1M Context & Agentic Coding Capabilities Surpassing Claude Opus [April 2026]
Qwen 3.6 Plus, released April 2, 2026, scores 61.6 on Terminal-Bench 2.0—surpassing Claude Opus 4.6. Explore its 1M token context, 158 tok/s throughput, and 17x cost advantage over Claude Opus in this complete guide.
Qwen 3.6
エージェントコーディング
1Mコンテキスト