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Qwen · open-weights

Qwen 3.8 27B

Qwen 3.8 27B is an open-weights language model from Qwen, released August 14, 2026. It has 28B parameters (dense). The context window is 256K tokens. On the Epoch Capabilities Index it scores 152.6, rank 58 of 256 rated models.

We promised open weights for Qwen3.8. Now, time to meet them! 🎉 ⚡ Qwen3.8-27B: - A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows. - 262K native context, easily extendable to 1M tokens via YaRN. - Built for builders.

Check it against your own PC →

Lab
Qwen
Released
August 14, 2026
Weights
Open apache-2.0
Parameters
28B dense
Context
256K
Price / M tokens
–
Epoch ECI
152.6 #58

Can you run Qwen 3.8 27B locally?

The smallest common GPU it runs on is 12 GB of VRAM (with 32 GB of RAM): Q3_K_M, split GPU / CPU, roughly 5 tokens per second. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMVery slowIQ3_XXS (noticeable loss)5.2 GB7.1 GB~4
8 GB VRAMVery slowIQ3_XXS (noticeable loss)7.2 GB5.1 GB~5
12 GB VRAMRuns, slowlyQ3_K_M (okay)11.2 GB4.1 GB~5
16 GB VRAMRuns on GPUIQ3_XXS (noticeable loss)12.3 GB–~27
24 GB VRAMRuns on GPUQ5_K_M (excellent)21.4 GB–~28
32 GB VRAMRuns on GPUQ6_K (≈ lossless)24.5 GB–~45

Ready-made quantizations on Hugging Face: unsloth/Qwen3.8-27B-GGUF · huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF · cdiamond/Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF · JonathanColetti/Qwen3.8-27B-Uncensored-GGUF · byteshape/Qwen3.8-27B-GGUF · HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF

Benchmark results

Benchmark (Epoch AI)Score
SimpleBench52.2%
ProofBench16.0%

Links

Announcement · Hugging Face: Qwen/Qwen3.8-27B · Epoch AI benchmarks

Models with a similar score

GPT-6 Luna · Claude Opus 4.6 · Grok 4.7 · Gemini 3.1 Pro · Qwen3.8 Max (0902) · DeepSeek V4 Pro 0813 · Muse Spark Open · Gemini 3.5 Flash

More from Qwen

Qwen3.8 Omni Flash · Qwen3.8 Max (0902) · Qwen3.8 Flash · Qwen3.8 Flash Next · Qwen3.8-2.4T-A95B · Qwen 3.8 Max · Qwen3.7 Flash · Qwen3.7-Plus

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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