Alibaba Open-Sources Qwen3.8-27B: Runs on One GPU, Codes Near Claude Opus Level
rohanpaul_ai · x · 2026-08-15
Alibaba has released the weights for Qwen3.8-27B: a 27B-parameter native multimodal dense model built for local deployment under Apache 2.0, outperforming Qwen3.7-Plus overall.
Key specs:
- 262K native context, extendable to 1M tokens via YaRN; reasoning can be disabled or adjusted per request
- Supports Transformers, vLLM, SGLang and local quantizations, putting unusually capable multimodal agent work within single-machine range
- AMD's initial testing: up to 51.8 tokens/sec on a single Radeon AI PRO R9700 (24GB VRAM)
Coding performance lands close to, and sometimes above, Claude Opus 4.6 Max: SWE-bench Pro 61.7 vs 53.4, CoWorkBench 70.7 vs 68.2, and OSWorld 84.3 vs 72.7. A 27B local model that is legitimately frontier-class on several coding/agent benchmarks. The open weights for Qwen3.8-2.4T-A95B (Max-level) were also released recently.
Related event: Alibaba Open-Sources Multimodal Qwen3.8-27B as Meta Launches Muse Code(4 posts)→
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