Qwen3.7 Max

byQwen

Qwen3.7 Max is a reasoning model from Qwen released on May 21, 2026. It reads text and writes text, with a 1M token context window and up to 131K tokens per reply.

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It costs $2.50 per million input tokens and $7.50 per million output tokens. Cached input bills at $0.50, 80% less than fresh input.

It supports tool calling, structured JSON output and prompt caching.

28 providers serve it, including Novita AI, Together AI and Deep Infra. The lowest input price is $0.825 per million tokens at Merge Gateway.

Modalities
In / out price
$2.50 / $7.50 per 1M
Context
1M
Max output
131K
Released
May 21, 2026
Knowledge cutoff
n/a
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

Qwen3.7 Max pricing

USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.

Input$2.50 / 1M tokens
Output$7.50 / 1M tokens
Cached input (read)$0.50 / 1M tokens
Cache write$3.13 / 1M tokens

Qwen3.7 Max providers

28 providers serve it, including Novita AI, Together AI and Deep Infra. The lowest input price is $0.825 per million tokens at Merge Gateway. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.

ProviderInput /MOutput /MCache read /MContextMax output
Alibaba First party$2.50$7.50$0.501M131K
Novita AI$1.25$3.75$0.251M66K
Together AI$1.25$3.75$0.1251M500K
Deep Infra$2.50$7.50$0.50256K66K
Vercel AI Gateway$2.50$7.50$0.50991K64K
Merge Gateway$0.825$2.48$0.1651M250K
Cloudflare AI Gateway$1.25$3.75$0.251M66K
DevPass (LLM Gateway)$1.25$3.75$0.251M66K
LLM Gateway$1.25$3.75$0.251M66K
OrcaRouter$1.25$3.75$0.251M66K
Pioneer$1.25$3.75$0.25991K64K
Kilo Gateway$1.48$4.42$0.2951M131K

Showing 12 of 28 providers: the lab first, then the major clouds, then the cheapest resellers.

What Qwen3.7 Max costs per month

Pick a workload close to yours or type your own volumes.

Qwen3.7 Max per month
$176
Without caching
$266
Per request
$0.0059

Supported request parameters

What you can set when you call Qwen3.7 Max through an OpenAI compatible API.

  • Toolstools
  • Structured outputsstructured_outputs
  • Reasoningreasoning
  • Temperaturetemperature

Alternatives to Qwen3.7 Max

Models that take the same inputs and call tools, closest in price, cheaper ones first.

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  • Index 46.5

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  • Reads text. Tool calling, structured output, reasoning. Served by 21 providers.

    by qwenAug 12, 20261.05M context$2/M input tokens$6/M output tokens21 providers

  • Reads text, images and files. Tool calling, structured output, reasoning. Served by 29 providers.

    by x-aiAug 10, 2026$2/M input tokens$6/M output tokens29 providers

  • Index 45.4

    Reads text, images, files and video. Tool calling, structured output, reasoning. Served by 26 providers.

    by qwenJul 19, 20261M context$2/M input tokens$6/M output tokens26 providers

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All Qwen models

Qwen3.7 Max questions

How much does the Qwen3.7 Max API cost?

$2.50 per million input tokens and $7.50 per million output tokens, with cached input at $0.50. The estimator on this page turns that into a monthly bill for your own workload.

What is the context window of Qwen3.7 Max?

1,000,000 tokens of input, and it can write up to 131,072 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Which providers serve Qwen3.7 Max?

28 providers serve it, including Novita AI, Together AI and Deep Infra. The lowest input price is $0.825 per million tokens at Merge Gateway. Prices differ by host, so the Providers table on this page lists each one with its input and output price.

Does Qwen3.7 Max support tool calling?

Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.

Is Qwen3.7 Max open source?

No. Qwen serves it through an API only, so you cannot download the weights or host it yourself.

When was Qwen3.7 Max released?

May 21, 2026.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.

Building on Qwen3.7 Max?

I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.

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