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Qwen/operational

Qwen: Qwen3.7 Max

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...

Input / output per 1M

$1.48/$4.42

Get an API key
function-callingopen weights

1.0M

Context window

tokens

131K

Max output

tokens per reply

60ms

Time to first token

p50, EU region

$4.42

Output price

per 1M tokens

Fit

Where this model earns its place

function calling

Tool use and structured output — dependable JSON for agent loops, RAG pipelines, and workflow automation.

Data handling

Requests are processed in the EU. Prompts are not used for training, and logs follow the retention period in your contract — zero-retention is available on request.

Specifications

Model

Model ID
qwen/qwen3.7-max
Provider
Qwen
Context length
1.0M
Max output
131K
Modality
text
Licence
Open Weight

Commercial

Input
$1.48
Output
$4.42
Cached input
$0.29
Deployment
serverless
Availability
operational
Last updated
2026-10-26

Cost

What a month actually costs

WorkloadInput tokensOutput tokensMonthly cost
Prototype1.0M250K$2.58
Production50.0M12.0M$126.85
At scale500.0M120.0M$1,269

Illustrative volumes at list price, excluding cached-input discounts and any committed-use agreement. Your invoice shows the same rates, itemised per key.

Cheaper by caching

Repeated prompts — system instructions, retrieved context, few-shot examples — are billed at the cached-input rate where the model supports it. On long system prompts this is typically the largest single line-item saving.

API

Same SDK, different base URL

cURL

curl https://api.itciphtech.com/v1/chat/completions \
  -H "Authorization: Bearer $CIPHER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3.7-max",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

TypeScript

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.itciphtech.com/v1",
  apiKey: process.env.CIPHER_API_KEY,
});

const res = await client.chat.completions.create({
  model: "qwen/qwen3.7-max",
  messages: [{ role: "user", content: "Hello!" }],
});

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