How much does Qwen3.8 27B cost?

Qwen3.8 27B is published as open weights (Apache 2.0) — there is no per-token API price. You self-host the model and pay infrastructure cost (GPU rental and operating overhead). Effective cost on commodity 24-48GB GPUs typically lands at $0.10-$0.50 per million output tokens.

What is the context window of Qwen3.8 27B?

Qwen3.8 27B supports a context window of 262K tokens (262,144 tokens) and can generate up to 8K output tokens per request.

What is Qwen3.8 27B best for?

Qwen3.8 27B is best for: Locally-runnable open-weight (~17GB VRAM at 4-bit). It supports chat, vision, function_calling, code, reasoning capabilities. It is open-source under the Apache 2.0 license.

Qwen3.8 27B

Alibaba Cloudopen-source NewOpen Source

Alibaba's fully open, Apache 2.0-licensed sibling to Qwen3.8 Max, released 13–14 Aug 2026 — the locally-runnable pick where the Max tier's custom revenue-share license doesn't apply. 27.8B dense params (not MoE) with native vision-language input and Hybrid Gated DeltaNet attention (3-of-4 sublayers linear attention), giving a native 262K context extensible to 1M via YaRN RoPE scaling. Vendor-reported agentic-coding gains over its predecessor are large: SWE-bench Pro 61.7, DeepSWE 1.1 42.2 (vs. 13.3 on Qwen3.6 27B), Terminal-Bench 2.1 73.0, LiveCodeBench v6 90.3, OSWorld 84.3 (vs. 63.9) — Alibaba claims it beats Claude Opus 4.6 Max on several of these. Runs in roughly 17GB VRAM at 4-bit, the main reason to reach for it over Max for self-hosting; one independent review found it markedly slower and more token-hungry per task than its predecessor at inference, so budget for that trade-off. No independent MMLU/Arena placement yet as of 17 Aug 2026.

Context Window

262K

tokens

Max Output

tokens

Input Price

Self-host

open weights

Output Price

Self-host

infra cost only

Speed

—

tokens/sec

Released

Aug 2026

2026-08-14

Blended Cost

—

self-host

Value Score

—

n/a self-host

Capabilities

ChatVisionFunction CallingCode GenerationReasoning

Benchmarks

Quality Index

Price vs Quality

Context Window in Context

Amazon Nova Pro300K
▸ Qwen3.8 27B262K
Codestral256K
Nemotron 3 Nano Omni256K
Qwen 3.6 Plus256K
Kimi K2.6256K
Hunyuan Hy3256K
Ling-3.0-Flash256K

Bar length is logarithmic — each full step is 10× the tokens. Shown against the models with the nearest context windows, not the directory extremes.

Try in Playground Use via Swfte Connect Alibaba Cloud Docs

Compare With

Open Source: Licensed under Apache 2.0

Not on our gateway yet

Qwen3.8 27B is open-weight, so you can run it yourself. Swfte Connect turns your deployment into a managed endpoint that speaks the same API as every other model in this directory.

The request

curl https://api.swfte.com/agents/v2/gateway/chat/completions \
  -H "Authorization: Bearer $SWFTE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "alibaba:qwen3.8-27b",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Deploy this model with Swfte Connect

About Qwen3.8 27B

Qwen3.8 27B is a open-source AI model by Alibaba Cloud, released on August 14, 2026. It supports a context window of 262K tokens and can generate up to 8K output tokens.

Qwen3.8 27B is published as open weights (Apache 2.0) for self-hosting. There is no per-token API price. Cost depends on your inference infrastructure: GPU rental, throughput per GPU, and operating overhead. For commodity 24-48GB GPUs the effective cost typically lands in the $0.10-$0.50 per million output tokens range, well below the cheapest hosted alternatives.

Qwen3.8 27B is available as an open-source model under the Apache 2.0 license, meaning you can self-host it for predictable costs or use it through API providers like Swfte Connect.

Using Qwen3.8 27B with Swfte

Access Qwen3.8 27B through Swfte Connect, our unified LLM gateway. Connect gives you a single API for 50+ models, with automatic routing, cost optimization, and fallback handling. You can also try Qwen3.8 27B in our AI Playground before integrating.