# Qwen3.7 Flash API Pricing

As of October 31, 2026, Qwen3.7 Flash costs $0.0435 per 1M input tokens and $0.1886 per 1M output tokens on Kyma API, with cache reads at $0.0081 per 1M tokens. It has a 1,000,000-token context window and returns up to 8,192 tokens per response.

- Page: https://models.litellm.ai/models/qwen3.7-flash
- Lab: Alibaba
- LiteLLM model name: `kyma/qwen3.7-flash`
- Context window: 1,000,000 tokens
- Max output: 8,192 tokens
- Added to LiteLLM: September 4, 2026
- Prices updated: October 30, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| Kyma API | `kyma/qwen3.7-flash` | $0.0435 | $0.1886 | $0.0081 | – | – | 1M |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- Kyma API: $0.1813

100 long-document requests with 100,000 input and 2,000 output tokens each:

- Kyma API: $0.4727

## Features

Supported: Function calling, Structured output, Image input, Reasoning, Prompt caching.
Not supported: PDF input.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="kyma/qwen3.7-flash",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## Cost calculator

10,000 requests a day with 1,000 input and 500 output tokens each, at Kyma API's price: $0.0001378 per request, $1.38 per day, $41.34 per month (30 days). Try other numbers at https://models.litellm.ai/calculator?model=qwen3.7-flash

## FAQ

### How much does Qwen3.7 Flash cost?

Qwen3.7 Flash costs $0.0435 per 1M input tokens and $0.1886 per 1M output tokens on Kyma API, with cache reads at $0.0081 per 1M tokens. Above 32K input tokens, input costs $0.135 and output costs $0.54 per 1M tokens.

### What is the context window of Qwen3.7 Flash?

Qwen3.7 Flash has a 1,000,000-token context window and returns up to 8,192 tokens per response.

### Which providers offer Qwen3.7 Flash?

Qwen3.7 Flash is available from Kyma API through LiteLLM, using the model name kyma/qwen3.7-flash.

### How do I call Qwen3.7 Flash with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="kyma/qwen3.7-flash", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### What features does Qwen3.7 Flash support?

Qwen3.7 Flash supports function calling, structured output, image input, reasoning and prompt caching. It does not support PDF input.

### When did LiteLLM add Qwen3.7 Flash?

Qwen3.7 Flash was added to LiteLLM's model price file on September 4, 2026.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change.