Qwen 3.8 Models — Hardware Requirements
10 Qwen 3.8 models from Alibaba and the community, from the smallest that runs in 11.8 GB of VRAM up to 2446.2B parameters. Every row links to full quantization tables and GPU compatibility.
All Qwen 3.8 Models by Size
How Qwen 3.8 Compares — Benchmark Rating
Qwen3.8 Flash Next is the highest-rated Qwen 3.8 model with an overall benchmark rating of 81.9/100 — #3 among 123 open models. The top proprietary model, GPT 5.5, scores 89.2. Click a model to see its full benchmark breakdown.
GPT 5.5 · proprietary89.2
Muse Spark 1.3 · proprietary88.9
Claude Opus 4.7 · proprietary87.4
Claude Sonnet 5 · proprietary87.4
Gemini 3.1 Pro Preview (high) · proprietary87.2
StableBeluga271.9
Qwen3.8 27B51.3
Frequently Asked Questions
- How much VRAM do I need to run a Qwen 3.8 model?
- The smallest Qwen 3.8 model, Qwen3.8 2B, runs from 1.4 GB of VRAM at an aggressive quantization. Larger family members need proportionally more — see the table above for every model.
- Which Qwen 3.8 models can I run on a 16 GB GPU?
- 22 of 38 Qwen 3.8 models fit in 16 GB of VRAM at some quantization, including Qwen3.8 27B, Qwen3.8 Whittle MoE 27B A17.8B, Qwen3.8 27B DSpark.
- What is the most popular Qwen 3.8 model to run locally?
- Qwen3.8 27B is the most downloaded Qwen 3.8 model in local-friendly quantized formats. It runs from 12.6 GB of VRAM.
- How do Qwen 3.8 models score on benchmarks?
- Qwen3.8 Flash Next leads the family with an overall benchmark rating of 81.9/100, ranking #3 among 123 open models, while the top proprietary model, GPT 5.5, scores 89.2. See the comparison chart above for the full standings.