Qwen3.8-27B

Alibaba · Released Aug 2026

Conditional

Qwen3.8-27B is Alibaba's 27-billion-parameter open-weight model, now shipped under Apache 2.0 with 262K native context and single-GPU deployment. It is the self-hostable companion to the 2.4T Qwen3.8-Max flagship. Benchmarks remain Alibaba-reported, so it lands at conditional — a real, runnable model whose vendor-claimed coding gains still await independent reproduction.

Is it right for you?

Good for

Single-GPU self-hosting — 27B parameters fits a single consumer or datacenter GPU when quantized (4-bit: ~15GB VRAM, FP8: ~27GB, BF16: ~54GB)
Open-weight ownership — full control over fine-tuning, data privacy, and deployment without API vendor lock-in
Permissive commercial use: the weights are published on Hugging Face under Apache 2.0
Long inputs on your own hardware: 262,144 tokens of native context, extensible up to 1,000,000 per the model card
Cost-sensitive volume deployments — self-hosting breaks even vs. API at several billion tokens/month

Not good for

Decisions that need independent benchmarks: the coding and agent gains are still Alibaba-reported
Regulated environments requiring auditable model cards, verified safety evaluations, and independent evaluations
Maximum capability workloads — the 27B model will not match the 2.4T Qwen3.8-Max flagship on complex reasoning or frontier benchmarks
Teams who need predictable API pricing and SLAs from the model vendor: this entry covers the self-hosted open weights

Pricing

Input

Free (open weights — self-hosted)

Output

Free (open weights — self-hosted)

Context

262K native ctx, 1M extended; Apache 2.0

View full pricing

Verdict history

Aug 15, 2026

pending -> conditional — Open weights shipped Aug 14 under Apache 2.0 with 262K native context and single-GPU deployment; vendor-claimed coding/agent gains await independent reproduction.

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