# Qwen 3.7 Plus

Qwen 3.7 Plus is Alibaba Cloud's Qwen 3.7 Plus-tier release, positioned as a balanced reasoning and multimodal endpoint in the Qwen 3.7 lineup with vision input alongside text.

- **Model ID:** `alibaba/qwen3.7-plus`
- **Type:** chat
- **Providers:** alibaba
- **Context window:** 1,000,000
- **Maximum output tokens:** 64,000
- **Pricing:** $0.4/1M input tokens, $1.6/1M output tokens
- **Canonical page:** https://vercel.com/ai-gateway/models/qwen3.7-plus

## Supported parameters

Detailed capability metadata has not been reported for this model.

## Example

```ts
import { streamText } from 'ai'

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

## About

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.

## What to consider

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.

## When to use

### Best For

- Multi-step reasoning tasks that require careful deliberation across analytical workflows, structured document processing, and multi-constraint problem solving
- Multimodal applications that pair text instructions with image input, such as screenshot analysis, chart interpretation, or UI grounding
- Code generation and refactoring where instruction adherence and accuracy outweigh raw throughput
- Agentic pipelines that use tool calling across multiple turns, with the model planning and invoking external APIs autonomously
- Long-context workloads that benefit from the window of 1M tokens for passing full documents or codebases without chunking
- Teams upgrading from Qwen3.6-Plus that want the Qwen 3.7 Plus tier without changing their integration

### Consider Alternatives When

- Throughput and cost are the primary drivers and deep reasoning isn't required, where a Flash-tier model is a closer fit
- Long-horizon agent workloads that need the highest reasoning ceiling, in which case Qwen3.7-Max is the flagship in the 3.7 line
- Workloads are text-only and never use vision input, where a dedicated text model offers lower cost per token
- Video or image generation is required, which calls for a generation-class model rather than a multimodal understanding model

## 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

- **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

## Frequently 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.

## Links

- [Model page](https://vercel.com/ai-gateway/models/qwen3.7-plus)
- [AI Gateway documentation](https://vercel.com/docs/ai-gateway)
- [Provider model documentation](https://www.alibabacloud.com/en?_p_lc=5)


If you encounter incorrect information, can’t find what you need, need a capability Vercel doesn’t currently offer, or have any other feedback to report, please do it by following the instructions at https://vercel.com/feedback.md.