---
id: "qwen/qwen3.8-27b"
also: ["qwen/qwen3.8-27b-20260814", "Qwen/Qwen3.8-27B", "hf/Qwen/Qwen3.8-27B", "requesty/alibaba/qwen3.8-27b", "vercel/alibaba/qwen3.8-27b"]
cheapest_list_usd_per_m: "0.035 in, 1.5 out, at darkbloom/fp4 on openrouter"
cheapest_effective_usd_per_m: "0.0104 in, 1.2492 out, at chutes/fp8 on openrouter"
context: 1048575
max_output: 235929
input: ["text", "image", "video"]
output: ["text"]
released: "2026-08-14"
reasoning: ["xhigh", "medium", "low", "none"]
api: ["/api/v1/chat/completions", "/api/v1/completions", "/api/v1/messages", "/api/v1/responses"]
params: ["frequency_penalty", "include_reasoning", "logit_bias", "logprobs", "max_tokens", "min_p", "presence_penalty", "reasoning", "reasoning_effort", "repetition_penalty", "response_format", "seed", "stop", "structured_outputs", "temperature", "tool_choice", "tools", "top_a", "top_k", "top_logprobs", "top_p"]
endpoints: 43
gateways: "openrouter (27), vercel (9), hf (6), requesty (1)"
no_training: 34
trains: 1
retains_prompts: 8
intelligence: 20.1000
coding: 68.1000
agentic: 45.8000
---
# Qwen: Qwen3.8 27B

Built on the architectural foundation of Qwen3.5, Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks. Qwen3.8-27B brings these advances to a compact, deployment-friendly dense model: a native vision-language model that understands images and videos, with flexible thinking control, designed to carry complex, multi-step tasks through to completion with greater reliability.