# Qwen 3.7 Flash

> Alibaba's vision-language reasoning model. 1M context, takes text, image and video, and is the cheapest model in the catalogue by a wide margin.

Human version: https://kymaapi.com/models/qwen3.7-flash
Live JSON: `GET https://kymaapi.com/v1/models` (no auth required)

## Facts

- **Model ID**: `qwen3.7-flash` — pass this as `model` in the request body
- **Creator**: Alibaba
- **Released**: 2026-07-28
- **Context window**: 1M tokens
- **Max output**: 8K tokens per response — a hard ceiling, not a default
- **Price**: $0.0458 in / $0.1987 out per 1M, cached input 10%
- **Capabilities**: tools, vision, reasoning, caching

## Call it

```bash
curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer $KYMA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3.7-flash", "messages": [{"role": "user", "content": "Hello"}]}'
```

## Positioning

Qwen 3.7 Flash is Alibaba’s vision-language reasoning model built for high-volume multimodal tasks. Reach for it when you need fast, cheap-tier processing of text, images, and video with tool use and reasoning capabilities.

## About

This is a vision-language reasoning model from Alibaba that accepts text, image, and video inputs and returns text. It supports a 1M token context window and outputs up to 8,192 tokens. The model operates in the cheap cost tier and is optimized for high-throughput workloads.

On Kyma, it runs through an OpenAI-compatible endpoint with automatic request failover if a serving path degrades. Prompt caching is enabled, billing repeated prefixes at 10% of the standard input rate. Responses include the exact request cost in usage.cost and the executed model ID in the X-Kyma-Model header.

It does not support structured outputs, so you will need to parse JSON or enforce formatting manually. The 1M context window is large, but the 8,192 token output limit restricts long-form generation. Live platform data shows it handles requests at a median speed of 122 tokens per second.

## Use cases

- **Multimodal agent orchestration** — Route text, image, and video inputs to tool-calling agents that run at high volume.
- **Visual code review** — Analyze screenshots, UI mockups, and video walkthroughs to generate code suggestions.
- **Document analysis at scale** — Process large batches of mixed-media files within a 1M token context window.
- **High-throughput chat routing** — Handle conversational workloads with fast response times and low compute overhead.

## Not ideal for

Avoid this model when you require guaranteed structured JSON outputs or need to generate responses longer than 8,192 tokens.

## Pick something else when

- You need guaranteed structured JSON outputs → `gpt-5.6-terra`
- You require longer output sequences → `qwen-3.7-max`
- You need higher reasoning accuracy for complex tasks → `deepseek-v4-pro`

## See also

- All models: https://kymaapi.com/models.md
- Pricing: https://kymaapi.com/pricing.md
- Other models by Alibaba: https://kymaapi.com/models?q=Alibaba