How does Qwen 3.7 Plus relate to Qwen3.6-Plus?

Qwen 3.7 Plus is the next generation in the Plus tier, succeeding Qwen3.6-Plus. It builds on the same architectural lineage with stronger reasoning and adds vision input as the multimodal entry in the 3.7 line.

What is the context window for Qwen 3.7 Plus?

The context window is 1M tokens. This applies to the combined input and output token length.

Can Qwen 3.7 Plus accept image input?

Yes. Qwen 3.7 Plus is the multimodal entry in the Qwen 3.7 line, accepting image input alongside text within a single request.

Does Qwen 3.7 Plus support tool calling and agentic workflows?

Yes. Like other Qwen 3 Plus-tier models, Qwen 3.7 Plus supports structured tool calling, letting the model invoke registered functions or APIs during multi-turn sessions.

Can I switch from Qwen3.6-Plus to Qwen 3.7 Plus without changing my integration?

Yes. Update the model identifier in your AI Gateway request to ``alibaba/qwen3.7-plus``. No changes to prompt structure or tool-calling configuration are required.

When should I use Qwen3.7-Max instead of Qwen 3.7 Plus?

Use Qwen3.7-Max for long-horizon agent workloads that need the highest reasoning ceiling in the 3.7 line, including multi-file software engineering and extended tool-calling sessions. Qwen 3.7 Plus is a closer fit when you need a balanced reasoning model with vision input and lower per-token cost than the Max tier.

How do I access Qwen 3.7 Plus through AI Gateway?

Authenticate with an AI Gateway API key or OIDC token and reference ``alibaba/qwen3.7-plus`` as the model. You can call Qwen 3.7 Plus through AI SDK, Chat Completions API, Responses API, Messages API, or other API formats, from TypeScript or Python.

Does Qwen 3.7 Plus support zero data retention?

Yes, Zero Data Retention is available for this model. Zero Data Retention is offered on a per-provider basis. See https://vercel.com/docs/ai-gateway/capabilities/zdr for details.

Alibaba Cloud

Qwen 3.7 Plus

Qwen 3.7 Plus is the Qwen 3.7 Plus-tier model in Alibaba Cloud's Qwen 3 family, succeeding Qwen3.6-Plus with stronger reasoning, vision input, and a context window of 1M tokens. Your use is subject to Alibaba Cloud's Terms & Privacy Policies.

View API reference

Input and output price: Input $0.40, Output $1.60, Per 1M tokens
24h uptime: Loading AI Gateway uptime

Get API key Read the docs

import { streamText } from 'ai'

const result = streamText({
  model: 'alibaba/qwen3.7-plus',
  prompt: 'Why is the sky blue?'
})

Read docs

Overview Playground Providers Uptime Status Throughput Latency API Similar About FAQ

Copy link to headingPlayground

Try out Qwen 3.7 Plus by Alibaba Cloud. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.

Qwen 3.7 Plus

Copy link to headingProviders

Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.

Provider

Context	Max Output	Latency	Throughput	Input	Output	Cache	Web Search	Capabilities	ZDR	No Training	Free Tier	Release Date

Alibaba Cloud

Legal:Terms•Privacy

64K

2.3 s

65 tps

$0.40/M+1 more

$1.60/M+1 more

Read$0.08/M

Write$0.50/M

—

06/02/2026

Getting started

Call Qwen 3.7 Plus through AI Gateway with the AI SDK generateText and streamText functions, or through the OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages APIs by changing the base URL. AI Gateway authenticates the request and routes it to an available provider.

Install the AI SDK (pnpm add ai dotenv), create an API key from the API Keys page, and set it as AI_GATEWAY_API_KEY in your environment. Full setup is covered in the text generation quickstart.

index.ts

import { generateText } from 'ai';
import 'dotenv/config';

async function main() {
  const result = await generateText({
    model: 'alibaba/qwen3.7-plus',
    prompt: 'Why is the sky blue?',
  });

  console.log(result.text);
}

main().catch(console.error);

Top-level parameters

The same Qwen 3.7 Plus request in each API format AI Gateway supports.

top-level-params.ts

import { generateText } from 'ai';
import 'dotenv/config';

async function main() {
  const result = await generateText({
    model: 'alibaba/qwen3.7-plus',
    system: 'You are a concise technical assistant.',
    prompt: 'Summarize the tradeoffs between static generation and SSR.',
    maxOutputTokens: 1024,
  });

  console.log(result.text);
}

main().catch(console.error);

Standard parameters like prompt, messages, temperature, and tools work as documented in the AI SDK docs. These are the parameters with model-specific behavior.

Parameter	Type	Required	Description
`model`	`string`	Yes	Model ID in the form `creator/model`, e.g. `alibaba/qwen3.7-plus`. AI Gateway routes the request to an available provider.
`maxOutputTokens`	`number`	No	Hard cap on generated tokens. Qwen 3.7 Plus supports up to `64,000` output tokens. Reasoning tokens count toward this limit.
`reasoning`	`'provider-default' \| 'none' \| 'minimal' \| 'low' \| 'medium' \| 'high' \| 'xhigh'`	No	Provider-agnostic reasoning effort, available in AI SDK 7 or later. Maps to the provider’s native reasoning configuration; reasoning settings under `providerOptions` take precedence when both are set. See the Reasoning section below.
`providerOptions`	`Record<string, JSONValue>`	No	AI Gateway routing options under `gateway`, plus any provider-native options under the provider’s own namespace — see the table below.

Input limits

Input	Formats	Sources	Max count	Max size	Limits
Text	—	—	—	—	Prompt and response share the 1M-token context window
Image	—	URL, base64, Uint8Array	—	—	Sent as image parts in messages; counts as input tokens
PDF	—	URL, base64, Uint8Array	—	—	Sent as file parts in messages; counts as input tokens

Provider options

Set AI Gateway routing options under providerOptions.gateway. For provider-specific options, pass them under the provider’s namespace as documented by the AI SDK.

Learn more in the AI SDK alibaba provider docs.

provider-options.ts

import { generateText } from 'ai';
import 'dotenv/config';

async function main() {
  const result = await generateText({
    model: 'alibaba/qwen3.7-plus',
    prompt: 'Why is the sky blue?',
    providerOptions: {
      gateway: {
        only: ['alibaba'],
      },
    },
  });

  console.log(result.text);
}

main().catch(console.error);

These AI Gateway routing options apply to every model. Provider-specific options pass through under the provider’s own namespace (for example providerOptions.anthropic) exactly as documented by the AI SDK.

Parameter	Type	Required	Description
`providerOptions.gateway.only`	`string[]`	No	Restrict routing to these provider slugs. Requests fail over only within the listed providers.
`providerOptions.gateway.order`	`string[]`	No	Preferred provider order. Listed providers are tried first; unlisted providers remain available as fallbacks.
`providerOptions.gateway.sort`	`'cost' \| 'ttft' \| 'tps'`	No	Rank candidate providers by price, time to first token, or tokens per second instead of the default routing order.
`providerOptions.gateway.zeroDataRetention`	`boolean`	No	Route only to providers with a zero-data-retention policy for this model.

Routing across providers

AI Gateway serves the same model through multiple providers and fails over automatically. order expresses a preference while keeping every provider eligible; only is a hard allowlist — if none of the listed providers are available the request fails instead of falling back.

Options under a provider's own namespace (for example providerOptions.anthropic) are forwarded to that provider with the request. Providers ignore option namespaces that don't apply to them, so it is safe to set provider options alongside gateway routing options.

Reasoning

AI Gateway bridges reasoning across every API format. The AI SDK exposes a provider-agnostic top-level reasoning level (none, minimal, low, medium, high, or xhigh); the Chat Completions and Responses formats take the same effort under reasoning.effort; and the Anthropic Messages format uses a native thinking token budget. Whichever you send, the gateway maps it to the target model’s native configuration, converting between effort levels and token budgets as needed. Reasoning-related settings under providerOptions take full precedence over the top-level reasoning value and are never merged. Reasoning tokens typically count toward your output-token usage, though how they’re reported and billed varies by provider.

Learn more in the AI Gateway reasoning guide.

reasoning.ts

import { generateText } from 'ai';
import 'dotenv/config';

async function main() {
  const result = await generateText({
    model: 'alibaba/qwen3.7-plus',
    prompt: 'Explain the Monty Hall problem step by step.',
    reasoning: 'high',
  });

  console.log(result.text);
}

main().catch(console.error);

Image input

Send images alongside text as message parts. Images count as input tokens.

image-input.ts

import { generateText } from 'ai';
import 'dotenv/config';

async function main() {
  const result = await generateText({
    model: 'alibaba/qwen3.7-plus',
    messages: [
      {
        role: 'user',
        content: [
          { type: 'text', text: 'Describe this image.' },
          { type: 'image', image: 'https://example.com/photo.jpg' },
        ],
      },
    ],
  });

  console.log(result.text);
}

main().catch(console.error);

PDF input

Attach PDFs as file parts. Their contents count as input tokens.

pdf-input.ts

import { generateText } from 'ai';
import 'dotenv/config';

async function main() {
  const result = await generateText({
    model: 'alibaba/qwen3.7-plus',
    messages: [
      {
        role: 'user',
        content: [
          { type: 'text', text: 'Summarize this document.' },
          {
            type: 'file',
            mediaType: 'application/pdf',
            data: 'https://example.com/document.pdf',
          },
        ],
      },
    ],
  });

  console.log(result.text);
}

main().catch(console.error);

Tool calling

Expose tools the model can call. Define each tool’s inputs with a Zod schema.

tool-calling.ts

import { generateText, tool } from 'ai';
import { z } from 'zod';
import 'dotenv/config';

async function main() {
  const result = await generateText({
    model: 'alibaba/qwen3.7-plus',
    prompt: 'What is the weather in San Francisco?',
    tools: {
      getWeather: tool({
        description: 'Get the current weather for a location',
        inputSchema: z.object({ location: z.string() }),
        execute: async ({ location }) => ({ location, temperatureC: 18 }),
      }),
    },
  });

  console.log(result.text);
}

main().catch(console.error);

Copy link to headingMore models by Alibaba Cloud

Model

Context	Latency	Throughput	Input	Output	Cache	Web Search	Capabilities	Providers	ZDR	No Training	Free Tier	Release Date

alibaba/qwen3.8-max-0902

991K

2.9 s

43 tps

$2/M

$6/M

Read$0.25/M

Write$2.50/M

—

09/01/2026

alibaba/qwen3.8-flash

991K

0.8 s

96 tps

$0.15/M

$0.47/M

Read$0.02/M

Write$0.20/M

—

08/26/2026

alibaba/qwen3.8-27b

0.4 s

939 tps

$0.10/M

$0.40/M

Read$0.01/M

Write$0.63/M

—

08/14/2026

alibaba/qwen3.8-max

3.0 s

67 tps

$2/M

$6/M

Read$0.25/M

Write$2.50/M

—

08/02/2026

alibaba/qwen3.7-flash

991K

1.3 s

99 tps

$0.03/M+2 more

$0.13/M+2 more

Read$0.006/M

Write$0.04/M

—

07/28/2026

alibaba/qwen3-vl-235b-a22b-instruct

262K

0.9 s

43 tps

$0.20/M

$0.88/M

Read$0.11/M

—

09/23/2025

Copy link to headingAbout Qwen 3.7 Plus

Qwen 3.7 Plus is the Plus-tier release in the Qwen 3.7 generation, succeeding Qwen3.6-Plus in Alibaba Cloud's production Qwen 3 lineup. It ships with a context window of 1M tokens and is available through Alibaba Cloud on AI Gateway.

The Qwen Plus line targets workloads that need deeper reasoning and stronger instruction following than the Flash tier provides, while keeping per-token cost below the Max tier. Qwen 3.7 Plus continues that positioning and adds vision input, making it the multimodal entry in the 3.7 line. The model is described as a balanced version focused on reasoning and logical expression, with the broader toolchain rolling out over time.

Like earlier Plus releases, Qwen 3.7 Plus supports structured outputs and tool calling, letting the model invoke registered functions or external APIs during multi-turn sessions. For teams already using Qwen3.6-Plus, Qwen 3.7 Plus offers an incremental upgrade path that slots into existing integrations without changes to prompt structure or tool-calling configuration.

You can integrate Qwen 3.7 Plus through AI SDK, Chat Completions API, Responses API, Messages API, or other API formats, from TypeScript or Python.

Copy link to headingWhat To Consider When Choosing a Provider

Configuration: As a newer Plus-tier release than Qwen3.6-Plus, monitor the AI Gateway cost dashboard to compare per-token spend and confirm the quality uplift justifies any pricing difference for your workload.
Zero Data Retention: Zero Data Retention is available for this model. It is offered on a per-provider and model basis. See the documentation for details.
Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.

Copy link to headingWhen to Use Qwen 3.7 Plus

Best for

Deliberate Multi-Step Reasoning: Analytical workflows, structured document processing, and multi-constraint problem solving
Multimodal Reasoning Tasks: Pairing text instructions with screenshot analysis, chart interpretation, or UI grounding
High-Fidelity Code Work: Refactoring and code generation where instruction adherence outweighs raw throughput
Multi-Turn Agentic Pipelines: Tool-calling across many turns where the model plans and invokes external APIs
Long-Context Workloads: Passing full documents or codebases using the window of 1M tokens
Upgrading From Qwen3.6-Plus: Teams moving to the Qwen 3.7 Plus tier without changing their integration

Consider alternatives when

Throughput And Cost First: A Flash-tier model is a closer fit when deep reasoning isn't required and latency and price dominate
Flagship Agent Workloads: Qwen3.7-Max is the flagship in the 3.7 line for long-horizon agent tasks that need maximum reasoning ceiling
Text-Only Pipelines: A dedicated text model offers lower cost per token when vision input is never used
Video Or Image Generation: A generation-class model fits tasks that produce pixels rather than read them

Copy link to headingConclusion

Qwen 3.7 Plus extends the Qwen Plus tier with the Qwen 3.7 generation's reasoning improvements and adds vision input as the multimodal entry in the 3.7 line. Routing through AI Gateway gives teams already on Qwen3.6-Plus a direct upgrade path with the same unified API, provider routing, and billing.

Copy link to headingFrequently Asked Questions

How does Qwen 3.7 Plus relate to Qwen3.6-Plus?
Qwen 3.7 Plus is the next generation in the Plus tier, succeeding Qwen3.6-Plus. It builds on the same architectural lineage with stronger reasoning and adds vision input as the multimodal entry in the 3.7 line.
What is the context window for Qwen 3.7 Plus?
The context window is 1M tokens. This applies to the combined input and output token length.
Can Qwen 3.7 Plus accept image input?
Yes. Qwen 3.7 Plus is the multimodal entry in the Qwen 3.7 line, accepting image input alongside text within a single request.
Does Qwen 3.7 Plus support tool calling and agentic workflows?
Yes. Like other Qwen 3 Plus-tier models, Qwen 3.7 Plus supports structured tool calling, letting the model invoke registered functions or APIs during multi-turn sessions.
Can I switch from Qwen3.6-Plus to Qwen 3.7 Plus without changing my integration?
Yes. Update the model identifier in your AI Gateway request to `alibaba/qwen3.7-plus`. No changes to prompt structure or tool-calling configuration are required.
When should I use Qwen3.7-Max instead of Qwen 3.7 Plus?
Use Qwen3.7-Max for long-horizon agent workloads that need the highest reasoning ceiling in the 3.7 line, including multi-file software engineering and extended tool-calling sessions. Qwen 3.7 Plus is a closer fit when you need a balanced reasoning model with vision input and lower per-token cost than the Max tier.
How do I access Qwen 3.7 Plus through AI Gateway?
Authenticate with an AI Gateway API key or OIDC token and reference `alibaba/qwen3.7-plus` as the model. You can call Qwen 3.7 Plus through AI SDK, Chat Completions API, Responses API, Messages API, or other API formats, from TypeScript or Python.
Does Qwen 3.7 Plus support zero data retention?
Yes, Zero Data Retention is available for this model. Zero Data Retention is offered on a per-provider basis. See https://vercel.com/docs/ai-gateway/capabilities/zdr for details.

Agent Stack

Core Platform

Tools

Learn

Build

Explore

Qwen 3.7 Plus

Copy link to headingPlayground

Copy link to headingProviders

Copy link to headingUptime24 hours

Copy link to headingThroughput24 hours

Copy link to headingLatency24 hours

Getting started

Top-level parameters

Input limits

Provider options

Routing across providers

Reasoning

Image input

PDF input

Tool calling

Copy link to headingMore models by Alibaba Cloud

Copy link to headingAbout Qwen 3.7 Plus

Copy link to headingWhat To Consider When Choosing a Provider

Copy link to headingWhen to Use Qwen 3.7 Plus

Best for

Consider alternatives when

Copy link to headingConclusion

Copy link to headingFrequently Asked Questions