Alibaba

Qwen 3.7 Flash

Name: Qwen 3.7 Flash
Brand: Alibaba
Price: 0.0458 USD
Availability: InStock

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.

Modalities

Text+Image → Text

Input

$0.0458 /1M

Output

$0.1987 /1M

Cached input

$0.00458 /1M90% off

Context

Speed

fast

Performance

Live production data from real requests on Kyma — not synthetic benchmarks.

Rank

#27

of 87 active models

Tokens served

1.4M

all-time

Success rate

100%

last 7 days

Median throughput132 tok/s

Total requests386

Platform share0.1%

Tokens · last 15 daysJul 19 → Aug 2

Pricing

Pay per token. Cached input is billed at 10% of the input rate.

$0.0458 /1M input$0.1987 /1M output

Hobby10 req/day · 2K in / 500 out

~$0.06/mo

Production1,000 req/day · 2K in / 500 out

~$5.73/mo

Scale20,000 req/day · 2K in / 500 out

~$115/mo

+ Estimate your workload

Requests / day1,000

Input tokens / request2,000

Output tokens / request500

Cache hit rate30%

Estimated monthly cost

$4.99

$0.1662 / day on Qwen 3.7 Flash

Same workload on:

Qwen 3.7 Max$269+5289%

Qwen 3.6 Plus$65.82+1220%

Estimates use list pricing with cached input billed at the 90%-discount rate. Actual bills depend on real token counts — every response includes its exact cost.

When to use Qwen 3.7 Flash

Updated 2026-07-29

Where this model earns its cost — and where it doesn't.

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.

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.

How it compares

Against the peers people actually weigh it against.

Spec	Qwen 3.7 Flash	Qwen 3.7 Max	Qwen 3.6 Plus
Input /1M	$0.0458	$2.56	$0.4388
Output /1M	$0.1987	$7.676	$2.633
Context	1M	1M	131K
Tools	Yes	Yes	Yes
Reasoning	Yes	Yes	Yes
Speed	fast	medium	medium

Quick start

Up and running in under two minutes.

1
Create an API key
Sign up and grab a key from the dashboard — $0.50 free credit, no card required.
Get API key →

Make your first request

Drop in your key and send a chat completion — fully OpenAI-compatible.

curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.7-flash",
    "messages": [
      {"role": "user", "content": "Explain prompt caching in one paragraph."}
    ]
  }'

Stream responses

Add "stream": true to receive tokens as they arrive.

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

FAQ

Common questions about this model.

What is the context window of Qwen 3.7 Flash?

Qwen 3.7 Flash has a 1M-token context window — roughly 1471 pages of text in a single request.

How much does the Qwen 3.7 Flash API cost?

$0.0458 per 1M input tokens and $0.1987 per 1M output tokens, with cached input at $0.00458/1M — a 90% discount on repeated prompt prefixes. No subscription; you pay only for what you use.

Does Qwen 3.7 Flash support function calling?

Yes — Qwen 3.7 Flash supports tool/function calling and structured outputs (JSON mode), so it works with agent frameworks out of the box.

How do I use Qwen 3.7 Flash?

Kyma is OpenAI-compatible: point your SDK's base URL at https://kymaapi.com/v1, use your Kyma API key, and set the model to qwen3.7-flash. Signing up is free and includes $0.50 of credit — no card required.

Does this model support function calling?

Yes, it supports tool use and reasoning, allowing you to pass tool definitions and parse the model's calls.

How does prompt caching affect billing?

Kyma bills cached prompt prefixes at 10% of the standard input rate, reducing costs for repeated system prompts or conversation history.

What happens if the serving path fails?

Kyma automatically reroutes your request to an alternate serving path, ensuring high availability without manual retries.

Start with $0.50 free credit — no card required.Create account →

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Qwen 3.7 Max	1M	$2.56	$7.676
Qwen 3.6 Plus	131K	$0.4388	$2.633
Qwen 3 Coder	131K	$0.297	$1.35
Qwen3 Embedding 8B	33K	$0.0135	$0.00
Qwen 3 32B	33K	$0.108	$0.378