---
id: "qwen/qwen3.7-flash"
also: ["qwen/qwen3.7-flash-20260727", "vercel/alibaba/qwen3.7-flash"]
cheapest_list_usd_per_m: "0.03 in, 0.13 out, at alibaba on openrouter"
cheapest_effective_usd_per_m: "0.0189 in, 0.13 out, at alibaba on vercel"
context: 1000000
max_output: 65536
input: ["text", "image", "video"]
output: ["text"]
released: "2026-07-27"
api: ["/api/v1/chat/completions", "/api/v1/completions", "/api/v1/messages", "/api/v1/responses"]
params: ["include_reasoning", "logprobs", "max_tokens", "presence_penalty", "reasoning", "response_format", "seed", "stop", "structured_outputs", "temperature", "tool_choice", "tools", "top_logprobs", "top_p"]
endpoints: 3
gateways: "openrouter (2), vercel (1)"
no_training: 3
trains: 0
retains_prompts: 2
---
# Qwen: Qwen3.7 Flash

The Qwen3.7 native vision-language Flash model series delivers a comprehensive upgrade over 3.6-Flash in multimodal understanding and agent execution. This model particularly excels in enhanced multimodal foundations with stronger universal object recognition, further improved real-world perception and spatial intelligence, significantly upgraded multimodal agent capabilities for Search Agent and CI Agent scenarios with more stable end-to-end task execution, as well as optimized multimodal coding for a smoother vibe coding experience.