Qwen 3.8 27B API

Alibaba's Qwen 3.8 27B, through an OpenAI-compatible API. 8 providers quote it now, and each request goes to the offer with the lowest estimated charge that meets your rules.

Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send qwen3.8-27b as the model.
Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

Facts

Model name: qwen3.8-27b
Maker: Alibaba
Context window: 32K – 262.1K tokens
Input price: $0.022 to $0.400 per million tokens
Output price: $0.013 to $2.400 per million tokens
Providers: 8 independent providers
Regions: asia, eu, global, us, us-west

Providers

ElastixAI: us-west, $0.025 input and $0.250 output per million tokens, $0.025 cache read per million tokens, 262.1K tokens of context
Munito AI: global, $0.022 input and $0.297 output per million tokens, $0.0062 cache read per million tokens, 262.1K tokens of context
Pera: us, $0.045 input and $0.013 output per million tokens, $0.045 cache read per million tokens, $0.000097 fee for each request, 262.1K tokens of context
engy: asia, $0.045 input and $0.320 output per million tokens, $0.015 cache read per million tokens, 131.1K tokens of context
Fortytwo: us, $0.100 input and $0.400 output per million tokens, Free cache read per million tokens, 262.1K tokens of context
Alpha.sh: us-west, $0.050 input and $1.250 output per million tokens, $0.050 cache read per million tokens, 32K tokens of context
EmpirioLabs AI: global, $0.170 input and $0.500 output per million tokens, $0.080 cache read per million tokens, 262.1K tokens of context
TensorX: eu, $0.400 input and $2.400 output per million tokens, $0.100 cache read per million tokens, 262.1K tokens of context

Scores

SimpleQA Verified: 45.8, #40 of 126

Scores: Epoch AI, 'Capabilities & Benchmarking' (https://epoch.ai/benchmarks)

Request

curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.8-27b",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is Qwen 3.8 27B?: Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking.
How much does Qwen 3.8 27B cost?: Offers now ask $0.022 to $0.400 per million input tokens and $0.013 to $2.400 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
What is the context length of Qwen 3.8 27B?: The largest offer takes 262,144 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can Qwen 3.8 27B do?: Its providers list Vision, Video input, Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
What inputs and outputs does Qwen 3.8 27B support?: Text · Images · Video → Text.
Which providers serve Qwen 3.8 27B?: 8 independent providers quote it now, with 8 offers. The table above ranks them by the cost of a typical job.
How do I call Qwen 3.8 27B?: Send "qwen3.8-27b" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was Qwen 3.8 27B listed?: The exchange first listed it on 10/6/2026. This is not its release date.