Qwen3.8 27B

Qwen3.8 27B on OptiQ Cloud, billed per token.

cloud

Qwen3.8 27B is a model from Qwen with a context window of 256K tokens, the same model as the Qwen3.8-27B OptiQ quant you can run on your Mac. It is served by OptiQ Cloud and billed per token. All OptiQ Cloud models are served at full precision, and your requests are never used for training.

Input$0.15 / M

Cached input$0.03 / M

Output$2.00 / M

Context256K tokens

Typical speed—

Next to the other OptiQ Cloud models

Scores are from each maker's model card, for benchmarks that more than one card reports; OptiQ did not run them. Prices are what OptiQ Cloud charges.

Output price, $ per million tokens

Input price, $ per million tokens

Use it

Connect this Mac

pip install mlx-optiq
optiq cloud login

Claude Code

optiq run claude --cloud qwen3.8-27b

Codex

optiq run codex --cloud qwen3.8-27b

OpenCode

optiq run opencode --cloud qwen3.8-27b

Mistral Vibe

optiq run vibe --cloud qwen3.8-27b

Hermes Agent

optiq run hermes --cloud qwen3.8-27b

OpenClaw

optiq run openclaw --cloud qwen3.8-27b

No local model is loaded. optiq run starts optiq serve --cloud-only, sets the agent up for this session only, and stops the server when the agent exits.

OptiQ Code

Boost: this model leads the task and your local model is its helper.

/boost qwen3.8-27b

OptiQ Lab, and any app that talks to optiq serve

Pick optiq-cloud/qwen3.8-27b in the model list. With no local model:

optiq serve --cloud-only

The API, from anywhere

Create a key on the dashboard.

curl https://cloud.mlx-optiq.com/api/v1/chat/completions \
  -H "Authorization: Bearer $OPTIQ_CLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3.8-27b",
       "messages": [{"role": "user", "content": "Hello"}]}'

from openai import OpenAI

client = OpenAI(
    base_url="https://cloud.mlx-optiq.com/api/v1",
    api_key="<your key>")
reply = client.chat.completions.create(
    model="qwen3.8-27b",
    messages=[{"role": "user", "content": "Hello"}])
print(reply.choices[0].message.content)

Details

Input	$0.15 per million tokens
Cached input	$0.03 per million tokens
Output, including reasoning	$2.00 per million tokens
Context window	256K tokens
Longest reply	65,536 tokens
Model id	`qwen3.8-27b` on the API, `optiq-cloud/qwen3.8-27b` in optiq serve