Qwen
Qwen3.7 Max
Chat
The qwen 3.7 max api offers 1M token context and SOTA coding power. Developed by Alibaba, this native multimodal model excels in complex logic and agentic workflows, outperforming rivals in MATH benchmarks while maintaining aggressive API pricing.

Modalities

Input: TextInput: Document
Output: Text

Context

API Usage Examples
curl --request POST "https://gptproto.com/v1/chat/completions" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "qwen3.7-max",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'
Qwen3.7 Max pricing

Estimate a request with real work scenarios. GPTProto token pricing is 10% below official rates.

Cost calculator

Multi-turn agent with cached context.
$0.36 / 1M$0.00054
$1.44 / 1M$0.001152
$0.072 / 1M$0.000216
$0.072 / 1M$0.0018
Cost per request$0.003708

Top up

GPTProto vs official pricing.
Requests
You pay
10% off
$100
You receive$100.00

Save$11.11 (10%)vs Qwen

Key qwen 3.7 max api Capabilities

Explore why developers choose the qwen 3.7 max api for production. These core features highlight the qwen model's strengths in multimodal processing and massive context retrieval.

SOTA Coding Proficiency

The qwen 3.7 max api achieves a 92.4% pass@1 on HumanEval, making it elite for Python and Rust development.

Native Multimodal Design

qwen 3.7 max api uses a unified transformer for vision and text, enabling precise spatial reasoning in images.

1M Token Context Window

Process entire archives with the qwen 3.7 max api, maintaining 99.9% retrieval accuracy across the full window.

Agentic Reasoning Speed

The qwen 3.7 max api features 30% lower tool-calling latency, reducing hallucinations in autonomous workflows.

Related Models
All Models
ModelInput → Output
Qwen3.7 MaxCurrent
1M$0.36 / $1.44 per 1M$0.07 / $0.07 per 1M
Input: TextInput: Document
Output: Text
Grok 4.6
500K$1.20 / $3.60 per 1M— / $0.30 per 1M
Input: TextInput: Image
Output: Text
Qwen3.8 Max
1M$1.80 / $5.40 per 1M$2.25 / $0.23 per 1M
Input: TextInput: ImageInput: VideoInput: Document
Output: Text
Claude Opus 5
1M$4.00 / $20.00 per 1M$5.00 / $0.40 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Gemini 3.6 Flash
1.05M$0.90 / $4.50 per 1M$0.09 / $0.09 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Gemini 3.5 Flash Lite
1.05M$0.18 / $1.50 per 1M$0.02 / $0.02 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Kimi K3
1.05M$2.70 / $13.50 per 1M$0.27 / $0.27 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GPT 5.6 Luna
1.05M$0.16 / $0.96 per 1M$0.20 / $0.02 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GPT 5.6 Terra
1.05M$1.60 / $9.60 per 1M$2.00 / $0.16 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GPT 5.6 Sol
1.05M$4.00 / $24.00 per 1M$5.00 / $0.40 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Grok 4.5
500K$1.20 / $3.60 per 1M$0.30 / $0.30 per 1M
Input: TextInput: Image
Output: Text
Claude Sonnet 5
1M$1.60 / $8.00 per 1M$2.00 / $0.16 per 1M
Input: TextInput: Document
Output: Text
Minimax M3
1.05M$0.48 / $0.96 per 1M$0.10 / $0.10 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GLM 5.2
1.05M$1.26 / $3.96 per 1M$0.23 / $0.23 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Claude Fable 5
1M$8.00 / $40.00 per 1M$10.00 / $0.80 per 1M
Input: TextInput: Document
Output: Text
Gemini 3.5 Flash
1.05M$0.90 / $5.40 per 1M$0.09 / $0.09 per 1M
Input: TextInput: ImageInput: Document
Output: Text
DeepSeek v4 Flash
—1.05M$0.14 / $0.28 per 1M— / $0.0028 per 1M
Input: Text
Output: Text
DeepSeek v4 Pro
1.05M$1.04 / $2.09 per 1M$0.0087 / $0.0087 per 1M
Input: Text
Output: Text
Grok 4.3
1M$0.75 / $1.50 per 1M$0.12 / $0.12 per 1M
Input: TextInput: Image
Output: Text
Kimi K2.6
262K$0.85 / $3.60 per 1M$0.14 / $0.14 per 1M
Input: TextInput: Document
Output: Text
GLM 5.1
205K$1.26 / $3.96 per 1M$0.23 / $0.23 per 1M
Input: TextInput: Document
Output: Text
GLM 5 Turbo
203K$1.08 / $3.60 per 1M$0.22 / $0.22 per 1M
Input: TextInput: Document
Output: Text
DeepSeek v3.2
164K$0.17 / $0.25 per 1M$0.02 / $0.02 per 1M
Input: Text
Output: Text
Minimax M2.5
205K$0.24 / $0.96 per 1M$0.30 / $0.02 per 1M
Input: TextInput: Document
Output: Text
Kimi K2.5
262K$0.54 / $2.70 per 1M$0.09 / $0.09 per 1M
Input: TextInput: Document
Output: Text
Qwen Turbo
—$0.04 / $0.18 per 1M$0.009 / $0.009 per 1M
Input: Text
Output: Text
Qwen Plus
1M$0.36 / $1.08 per 1M$0.07 / $0.07 per 1M
Input: Text
Output: Text
Qwen3 Max
262K$1.08 / $5.40 per 1M$0.22 / $0.22 per 1M
Input: Text
Output: Text
Doubao Seed 1.6 Thinking 250715
262K$0.10 / $0.97 per 1M—
Input: TextInput: Image
Output: Text
Doubao Seed 1.6 Thinking 250615
262K$0.10 / $0.97 per 1M—
Input: TextInput: Image
Output: Text
Doubao Seed 1.6 Flash 250615
262K$0.02 / $0.18 per 1M—
Input: TextInput: Image
Output: Text

qwen 3.7 max api Frequently Asked Questions

Expert answers about the qwen 3.7 max api. Explore its 1M context, native multimodal features, and how to integrate this SOTA model into your production workflows via GPTProto.com.

Does the qwen 3.7 max api support native vision?

Yes, the qwen 3.7 max api is a native multimodal model. Unlike older systems that rely on external vision encoders, qwen utilizes a unified transformer for text and images. This allows the qwen 3.7 max api to excel at spatial reasoning tasks, such as identifying specific pixel coordinates for UI automation or analyzing complex architectural diagrams with high structural accuracy.

What is the qwen 3.7 max api context window limit?

The qwen 3.7 max api supports a massive context window of 1,000,000 tokens. In 'Needle in a Haystack' tests, the qwen 3.7 max api maintains 99.9% retrieval accuracy across the entire range. This makes the qwen 3.7 max api ideal for auditing thousand-page legal documents or processing entire codebases where maintaining long-range dependencies is critical for performance.

How do I migrate to the qwen 3.7 max api?

Migrating to the qwen 3.7 max api is straightforward because it uses an OpenAI-compatible endpoint. To start using qwen, you simply need to update your base URL and model parameter in your existing SDK. The qwen 3.7 max api supports standard features like streaming and JSON mode, ensuring that your current application logic remains functional while benefiting from qwen's superior reasoning.

What are the qwen 3.7 max api pricing advantages?

The qwen 3.7 max api is highly cost-effective, priced at $1.00 per 1M input tokens and $3.00 per 1M output tokens. Compared to models like GPT-4o, the qwen 3.7 max api is roughly 60-70% cheaper. Additionally, the qwen 3.7 max api offers an 80% discount for prompt caching hits and a 50% discount for asynchronous batch processing, making qwen the leader in price-to-performance.

Can qwen 3.7 max api handle video files?

Yes, the qwen 3.7 max api supports video input via URL or Base64 encoding. The model can analyze clips up to 2 minutes in length at 1fps. This native video support allows the qwen 3.7 max api to perform multimodal content moderation and temporal analysis, identifying subtle changes in video streams that text-only or image-only models might miss during processing.

What are the qwen 3.7 max api rate limits?

On GPTProto.com, qwen 3.7 max api limits scale with your tier. Our Pro tier offers 50 RPM and 500,000 TPM, while Enterprise customers can access 2,000+ RPM. If you encounter a 429 error with the qwen 3.7 max api, we recommend implementing exponential backoff. We also provide multi-region failover to ensure that your qwen 3.7 max api requests remain stable during peak hours.