CrossModel
Qwen3.7 Flash
qwen/qwen3.7-flash
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Qwen · Model guide

Qwen3.7 Flash

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qwen/qwen3.7-flash

The current low-latency Qwen3.7 model pairs a 1M-token context window with native text, image and video input, hybrid reasoning, tools, caching and structured output for high-volume agent workloads.

Modalities
TextImageVideoText
Context
1M
Max output
66K
Price / 1M tokens
$ 0.040in$ 0.13out
StreamingTool callingJSON outputImage inputThinking mode · can be turned off

What this model is good at

What the vendor positions it for, and which of our models to reach for instead.

VendorA cost-efficient near-flagship multimodal model for high-volume agents and visual coding.source

Best for

  • High-volume agents · Qwen recommends Flash when similar general capability is needed with greater efficiency.(vendor claim)source

  • Visual coding · Native image and video understanding supports interface and multimodal coding workflows.(vendor claim)source

Neighbouring models
  • qwen/qwen3.7-plusstronger —Choose Qwen3.7 Plus when balanced capability matters more than minimum latency.(vendor claim)source
Compare them side by side →

Pricing and billing

Tiered pricing: the rate changes once the input passes the threshold.

Price / 1M tokens by input sizeInput < 32.0K32.0K – 256.0KInput ≥ 256.0K
Input$ 0.040$ 0.10$ 0.19
Output$ 0.13$ 0.37$ 0.74
Cache read$ 0.010$ 0.020$ 0.040
Cache write$ 0.040$ 0.12$ 0.24
Estimate a request

At this input size you are on the Input < 32.0K tier.

$ 0.0007
Estimated cost per request
10.0K × $ 0.040
+ 2.0K × $ 0.13
≈ $ 0.66 per 1,000 requests

Capabilities and limits

What CrossModel guarantees across every route this model can take right now.

Context window
1.0M tokens
Max output
65.5K tokens
Input / output modalities
Text + Image + Video → Text
Streaming
Supported
Tool calling
Supported
Structured output (JSON)
Supported
Image input
Supported
Thinking mode
Supported· can be turned off
Available endpoints
/v1/chat/completions · /v1/responses · /v1/messages
First-party sources:Specsqwencloud.comCapabilitiesqwencloud.com 1help.aliyun.com 2

Use it in your tools

Point the base URL at CrossModel and paste this model ID — every tool below has a setup guide.

Claude Code
Anthropic's official command-line coding assistant
Cursor
AI-first code editor
Cline
Open-source AI coding agent for VS Code
Codex
OpenAI's coding agent for ChatGPT desktop and the terminal
OpenCode
Open-source terminal coding assistant
Zed
High-performance, AI-native code editor
Open WebUI
Open-source, self-hosted AI chat interface
Continue
Open-source AI coding assistant for VS Code & JetBrains
See all integration guides →

Frequently asked questions

What is Qwen3.7 Flash?
Qwen3.7 Flash is available on CrossModel as qwen/qwen3.7-flash. It has a 1M-token context window and can return up to 66K tokens per request.
How much does Qwen3.7 Flash cost?
Currently $ 0.040 per 1M input tokens and $ 0.13 per 1M output tokens. Cached input is billed at $ 0.010 per 1M.
Does Qwen3.7 Flash support tool calling and structured output?
Tool calling: Supported · Structured output (JSON): Supported · Image input: Supported · Streaming: Supported · Thinking mode: Supported
Which endpoint do I call?
For text models, OpenAI Chat Completions (/v1/chat/completions), OpenAI Responses (/v1/responses) and Anthropic Messages (/v1/messages) all work — pick whichever your SDK already speaks.
Can I try it without writing code?
Yes. Sign in and open the Playground on this page to chat with the model directly — no API key needed. Usage is billed from your wallet at the normal rate.

Chat first, integrate later

Chat first, then wire it in once you like the answers.