Qwen3.7 Flash API Pricing
- Input / output
- $0.0435 / $0.1886 per 1M tokens
- Cache read
- $0.0081 / 1M
- Context
- 1M tokens
- Max output
- 8K tokens
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.
Qwen3.7 Flash pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| Kyma API | kyma/qwen3.7-flash | $0.0435 | $0.1886 | $0.0081 | 1M |
Other Qwen3.7 Flash prices on Kyma API
| Input above 32K tokens | $0.135 per 1M tokens |
| Output above 32K tokens | $0.54 per 1M tokens |
| Input above 256K tokens | $0.27 per 1M tokens |
| Output above 256K tokens | $1.08 per 1M tokens |
What Qwen3.7 Flash costs in practice
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 |
Qwen3.7 Flash cost calculator
At Kyma API's price ($0.0435 input, $0.1886 output per 1M tokens), 10,000 requests a day with 1,000 input and 500 output tokens each cost $1.38 a day, about $41.34 a month. Change the numbers for your workload, or compare it with other models.
- Per request
- $0.0001378
- Per day
- $1.38
- Per month (30 days)
- $41.34
Qwen3.7 Flash features
Input: text, image. Output: text.
- Function calling
- Structured output
- Image input
- PDF input
- Reasoning
- Prompt caching
Use Qwen3.7 Flash with LiteLLM
Call Qwen3.7 Flash through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="kyma/qwen3.7-flash",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen3.7-flash
litellm_params:
model: kyma/qwen3.7-flash
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $LITELLM_API_KEY" \
-d '{
"model": "qwen3.7-flash",
"messages": [{"role": "user", "content": "Hello!"}]
}'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.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change.
LiteLLM docs: Kyma API.
Provider pages: Kyma API.