Qwen3.8 27B
Where it stands
Quality in independent tests against price, next to 135 other models. Up means more capable, left means cheaper.
About this model
Qwen3.8 27B is an AI model from Alibaba Qwen, made available through the API on August 14, 2026. It can read up to 1,000,000 tokens in one request, roughly 1,875 pages of text, and write up to 131,072 tokens in a single answer. Besides text, it accepts images and video as input.
Through the API it costs $0.42 per million input tokens and $3 per million output tokens. Its pricing sits in the middle of the market.
It supports extended reasoning: it can "think" step by step before answering, which helps on maths, code and complex questions. It can call tools and functions, so developers can connect it to search, databases or other software. Its weights are openly published (Qwen/Qwen3.8-27B), so it can also be downloaded and run on your own hardware.
Quality scores
Rankings →Where to use it
Companies that serve this model through an API: 16. Prices per million tokens, cheapest first.
| Provider | Inputi | Outputi | Contexti | Uptime (24 h)i |
|---|---|---|---|---|
AkashMLCheapestfp8 | $0.20 | $1.78 | 256K | 99.8% |
Phala | $0.15 | $1.88 | 1M | 98.2% |
DeepInfrabf16 | $0.15 | $1.88 | 256K | 98.2% |
Darkbloomfp4 | $0.05 | $2.20 | 256K | 99.3% |
Parasailfp8 | $0.24 | $2.20 | 256K | 100.0% |
Chutesfp8 | $0.24 | $2.20 | 256K | 99.3% |
DekaLLM | $0.08 | $2.50 | 256K | 99.6% |
Ionstreamfp8 | $0.15 | $2.55 | 256K | 99.1% |
Mancer 2fp8 | $0.20 | $2.50 | 256K | 99.7% |
AlibabaOfficial | $0.43 | $2.55 | 1M | 97.7% |
CoreWeavefp8 | $0.40 | $3 | 256K | 99.9% |
Novita | $0.42 | $3 | 1M | 99.9% |
Cloudflare | $0.45 | $3.20 | 256K | 97.9% |
Venicefp8 | $0.45 | $3.20 | 256K | 99.8% |
Wafer | $0.025 | $4.35 | 256K | 100.0% |
Reka | $0.025 | $4.40 | 256K | 99.7% |
Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.
Use it in your code
Call Qwen3.8 27B through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "qwen/qwen3.8-27b", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'import os
from openai import OpenAI
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
model="qwen/qwen3.8-27b",
messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
model: "qwen/qwen3.8-27b",
messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.
What it costs in practice
- 1,000 chat replies$1.11
- Summarise a 100-page document$0.024
- An app with 10,000 requests a day for a month$486
Similar-priced alternatives
| Model | Inputi | Outputi | Contexti | |
|---|---|---|---|---|
MiMo-V2.6-ProXiaomi | $0.44 | $0.87 | 1.1M | Compare with ⇄ |
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Command A+Cohere | $0.30 | $1.50 | 192K | Compare with ⇄ |
DeepSeek V4.1 FlashDeepSeek | $0.30 | $1.20 | 1M | Compare with ⇄ |
Devstral 2 2512Mistral AI | $0.40 | $2 | 256K | Compare with ⇄ |
News about Alibaba Qwen
See all →Frequently asked questions
- How much does Qwen3.8 27B cost?
- Qwen3.8 27B costs $0.42 per million input tokens and $3 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $1.11.
- What is the context window of Qwen3.8 27B?
- Qwen3.8 27B can read up to 1,000,000 tokens in one request, about 1,875 pages of text. It can write up to 131,072 tokens in a single answer.
- Is Qwen3.8 27B open source?
- Yes. Its weights are published (Qwen/Qwen3.8-27B), so you can download it and run it on your own hardware, or use it through one of 16 API providers.
- Who makes Qwen3.8 27B?
- Qwen3.8 27B is made by Alibaba Qwen. It became available through the API on August 14, 2026.
- How good is Qwen3.8 27B?
- Qwen3.8 27B has an overall index of 149.4 in Epoch AI’s independent tests, ranking #49 of 136 models we track.
- Can Qwen3.8 27B read images?
- Yes. Besides text, it accepts images and video as input.
- What are the alternatives to Qwen3.8 27B?
- Models with a similar price from other companies include MiMo-V2.6-Pro, GLM 5.3 FlashX and ERNIE 4.5 VL 424B A47B . You can compare them side by side on this page.