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OpenKey

Qwen3.7 Max

QwenReleased May 21, 2026

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,...

Try in playground
Context window
1M tokens
Max output
66K tokens
Input
text
Output
text
Tokenizer
Qwen
Released
May 21, 2026
Reasoning
optional

Pricing

Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.

Per 1M tokensProvider+ 3% feeYou pay
Input$1.25$0.037$1.29
Output$3.75$0.112$3.86
Cache read$0.250$0.0075$0.258
Cache write$1.56$0.047$1.61

Benchmarks

Artificial Analysis

Intelligence index
46
Coding index
66
Agentic index
30.6

Design Arena

CategoryEloWin rateRank
androidnativeagents118246.1%#14
Full-stackagents122047.6%#11
Mobile appsagents121146.9%#13
Web appsagents126250.9%#6
3Dmodels132660.1%#8
ASCII artmodels126154.1%#9
Codemodels131157.5%#10
Data vizmodels129056.1%#13
Game devmodels132358.7%#10
SVGmodels127760.3%#9
UI componentsmodels133160%#6
Websitesmodels130356.5%#13

Head-to-head preference voting. How we filter and rank

Supported parameters

  • include_reasoning
  • logprobs
  • max_tokens
  • presence_penalty
  • reasoning
  • response_format
  • seed
  • structured_outputs
  • temperature
  • tool_choice
  • tools
  • top_logprobs
  • top_p

Call it

OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model qwen/qwen3.7-max.

Code sample language
curl https://api.openkey.ai/v1/chat/completions \
  -H "Authorization: Bearer $OPENKEY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3.7-max",
    "messages": [{"role": "user", "content": "Hello"}]
  }'
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.openkey.ai/v1",
    api_key=os.environ["OPENKEY_API_KEY"],
)

completion = client.chat.completions.create(
    model="qwen/qwen3.7-max",
    messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.openkey.ai/v1",
  apiKey: process.env.OPENKEY_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "qwen/qwen3.7-max",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does Qwen3.7 Max cost via API?
Through OpenKey, Qwen3.7 Max costs $1.29 per 1M input tokens and $3.86 per 1M output tokens. That is the provider price ($1.25 / $3.75) plus a flat 3% fee — nothing else.
What is Qwen3.7 Max's context window?
Qwen3.7 Max accepts up to 1M tokens of context and returns up to 66K tokens per request.
Is Qwen3.7 Max OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen3.7-max" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen3.7 Max support?
Qwen3.7 Max accepts text input and produces text output.

More from Qwen

All Qwen models →