Alibaba

Qwen 3.7 Plus

Name: Qwen 3.7 Plus
Brand: Alibaba
Price: 0.4482 USD
Availability: InStock

Qwen 3.7 Plus is a balanced-tier frontier model built for general-purpose tasks, agentic workflows, and long-context reasoning. Developers should reach for it when they need reliable tool use, image understanding, and structured outputs without premium-tier pricing.

Modalities

Text+Image → Text

Input

$0.4482 /1M

Output

$1.793 /1M

Cached input

$0.04482 /1M90% off

Context

Speed

medium

Performance

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

Rank

#26

of 87 active models

Tokens served

2.1M

all-time

Success rate

100%

last 7 days

Median throughput52 tok/s

Total requests184

Platform share0.1%

Tokens · last 15 daysJul 19 → Aug 2

Top apps using this model

1Antigravity1.4M tok

2Node.js App95.8K tok

Public apps sending the most traffic to this model — a signal of what real workloads it fits.

Pricing

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

$0.4482 /1M input$1.793 /1M output

Hobby10 req/day · 2K in / 500 out

~$0.54/mo

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

~$53.79/mo

Scale20,000 req/day · 2K in / 500 out

~$1,076/mo

+ Estimate your workload

Requests / day1,000

Input tokens / request2,000

Output tokens / request500

Cache hit rate30%

Estimated monthly cost

$46.53

$1.55 / day on Qwen 3.7 Plus

Same workload on:

Qwen 3.7 Flash$5.73-88%

Qwen 3.7 Max$269+478%

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 Plus

Updated 2026-07-29

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

Alibaba's Qwen 3.7 Plus is a 1M-context language model that accepts text and image inputs. It supports tool calling, chain-of-thought reasoning, and structured JSON outputs, making it suitable for chat interfaces, code generation, and autonomous agent loops.

On Kyma, the model runs with automatic request failover and reports exact token costs in the usage.cost field. Prompt caching is enabled by default, billing repeated prompt prefixes at 10% of the standard input rate. The X-Kyma-Model header confirms which model handled each request.

Maximum output is capped at 32,768 tokens, and inference operates at a medium speed tier with a median throughput of 41 tokens per second. It does not accept audio or video inputs, and complex structured output schemas may introduce minor latency.

Agentic Workflow Orchestration

Handles multi-step tool calls and state tracking for autonomous agent loops.

Long Context Document Analysis

Processes large codebases or technical manuals within a 1M token window.

Vision Enabled Chat Interfaces

Extracts and reasons over embedded images alongside conversational text.

Structured Data Extraction

Outputs validated JSON for downstream API integration and database insertion.

Not ideal for: Avoid this model if your application requires sub-20 token per second latency, native audio processing, or output lengths exceeding 32,768 tokens.

How it compares

Against the peers people actually weigh it against.

Spec	Qwen 3.7 Plus	Qwen 3.7 Flash	Qwen 3.7 Max
Input /1M	$0.4482	$0.0458	$2.56
Output /1M	$1.793	$0.1987	$7.676
Context	1M	1M	1M
Tools	Yes	Yes	Yes
Reasoning	Yes	Yes	Yes
Speed	medium	fast	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": "qwen-3.7-plus",
    "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": "qwen-3.7-plus",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

FAQ

Common questions about this model.

What is the context window of Qwen 3.7 Plus?

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

How much does the Qwen 3.7 Plus API cost?

$0.4482 per 1M input tokens and $1.793 per 1M output tokens, with cached input at $0.04482/1M — a 90% discount on repeated prompt prefixes. No subscription; you pay only for what you use.

Does Qwen 3.7 Plus support function calling?

Yes — Qwen 3.7 Plus 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 Plus?

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 qwen-3.7-plus. Signing up is free and includes $0.50 of credit — no card required.

Does this model support prompt caching on Kyma?

Yes. Kyma automatically caches repeated prompt prefixes and bills them at 10% of the standard input rate.

What happens if the primary serving path degrades?

Kyma routes every request through automatic failover, so degraded paths are silently bypassed without dropping your request.

Can I use this model for image generation?

No. The model accepts image inputs for analysis but only produces text outputs. Use a dedicated image model like flux-2-pro or gpt-image-2 for generation.

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

More models by Alibaba

Model	Context	Input	Output
Qwen 3.7 Flash	1M	$0.0458	$0.1987
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