qwen/qwen3.7-plus
- context · $0.1650 / M input tokens · $0.6610 / M output tokens
Qwen3.7 Plus is a Qwen route on OurToken for developers evaluating a balanced Qwen 3.7 option for chat, coding, reasoning, and production application workflows.
All systems operational.
Pricing
Pay-per-use
No upfront costs, pay only for what you use
API Usage
API Access Guide
Code examples
Use the OurToken API endpoint for this model. The examples below use direct HTTP requests and the recommended endpoint for the model family.
curl https://api.ourtoken.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "qwen3.7-plus",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
}'Chat Completions API Reference
Create a chat response with the OpenAI Chat Completions-compatible endpoint. Use https://api.ourtoken.ai/v1 as the SDK Base URL and POST /chat/completions as the endpoint.
Authorization
| Content-Type | application/json |
| Authorization | Bearer YOUR_API_KEY |
Request Body
| Field | Type | Required | Description |
|---|---|---|---|
| model | string | Required | Model ID to call. |
| messages | array<object> | Required | Conversation messages sent to the model. |
| max_tokens | integer | Optional | Maximum number of output tokens. |
| temperature | number | Optional | Sampling temperature. |
| top_p | number | Optional | Nucleus sampling parameter. |
| stream | boolean | Optional | Whether to return a streaming response. |
| stream_options | object | Optional | Additional options for streaming responses. |
| tools | array<object> | Optional | Tools available to the model. |
| tool_choice | string | object | Optional | Controls how the model selects tools. |
| response_format | object | Optional | Controls structured output, such as JSON object responses. |
Response Body
| Field | Type | Required | Description |
|---|---|---|---|
| id | string | Required | Unique chat completion identifier. |
| object | "chat.completion" | Required | Object type returned by the Chat Completions API. |
| created | integer | Required | Unix timestamp when the response was created. |
| model | string | Required | Model that produced the response. |
| choices | array<object> | Required | Candidate responses returned by the model. |
| choices[].message.role | string | Required | Role of the returned chat message. |
| choices[].message.content | string | Optional | Text content in the returned chat message. |
| choices[].finish_reason | string | Optional | Reason generation stopped. |
| usage | object | Optional | Token usage information for the chat completion. |
| usage.prompt_tokens | integer | Optional | Input token count. |
| usage.completion_tokens | integer | Optional | Output token count. |
| usage.total_tokens | integer | Optional | Total token count. |
| usage.prompt_tokens_details | object | Optional | Breakdown of input token usage. |
| usage.prompt_tokens_details.cached_tokens | integer | Optional | Tokens served from cache. |
Model Introduction
Qwen qwen3.7-plus
Qwen3.7 Plus is a Qwen route on OurToken for developers evaluating a balanced Qwen 3.7 option for chat, coding, reasoning, and production application workflows.
Use Qwen3.7 Plus when your team wants a practical Qwen 3.7 route for application testing and route comparison. OurToken keeps model ID access, API examples, availability status, and qwen 3.7 plus pricing close to the implementation workflow.
Why It Looks Great
- Balanced Qwen 3.7 route for application and production evaluation.
- OpenAI-compatible chat completions setup through the OurToken endpoint.
- Dedicated route page for model ID, code examples, and 60% of official price pricing review.
- Useful for comparing benchmark claims against real prompts and logs.
- Clear path from Qwen provider discovery into API implementation.
Key Features
- Model ID: qwen3.7-plus
- Provider: Qwen
- Input price: $0.1650 per 1M tokens on OurToken
- Output price: $0.6610 per 1M tokens on OurToken
- Cache read price: $0.0170 per 1M tokens on OurToken
- Cache write price: $0.2060 per 1M tokens on OurToken
- API endpoint: chat completions
- Evaluation focus: chat, coding, multilingual reasoning, and benchmark validation
Specifications
qwen 3.7 plus api Features for Developers
Use qwen 3.7 plus api access to review qwen 3.7 plus pricing at 60% of official price and test benchmark fit.
API Access
Call qwen 3.7 plus api through the OurToken unified endpoint with the qwen3.7-plus model ID. This keeps API key management, request examples, route status, and model testing close together for developers evaluating Qwen application workflows.
Pricing Review
Review qwen 3.7 plus pricing before production rollout. OurToken lists $0.1650 input, $0.6610 output, $0.0170 cache read, and $0.2060 cache write per 1M tokens, using the official input <= 256k reference tier.
Route Balance
Qwen 3.7 Plus is useful when teams want a balanced Qwen route rather than assuming the Max route is necessary for every workload. Compare quality, latency, and cost against your own prompts before setting application defaults.
Benchmark Testing
Use qwen 3.7 plus benchmark claims as a guide for evaluation, not as a production guarantee. Public analysis pages can suggest test categories, while your own traffic reveals real response quality, stability, token usage, and latency.
Coding Workflows
Evaluate Qwen3.7 Plus for code explanation, debugging support, implementation planning, and internal assistant tasks. Keep results comparable with Qwen3.7 Max, DeepSeek, GLM, or other routes by using the same prompts and scoring criteria.
Production Fit
Before routing users to qwen 3.7 plus api, test expected prompt sizes, output lengths, structured answer requirements, and error handling. The right model choice should reflect workload fit, current pricing, and operational reliability.
How to Use qwen 3.7 plus api on OurToken
Create an API key, use qwen3.7-plus, compare 60% of official price pricing, compare routes, and monitor usage.
Create Key
Create an OurToken API key from the dashboard and store it in a secure server-side environment variable. This gives your backend a stable way to call qwen 3.7 plus api without exposing credentials in client-side code.
01Copy Model
Use qwen3.7-plus as the model value in your request body. Keeping the exact model ID in configuration helps developers compare Qwen 3.7 Plus with Qwen3.7 Max without accidentally mixing display names and API values.
02Call Endpoint
Send requests to the OurToken chat completions endpoint with your API key, model ID, and prompt payload. Existing OpenAI-compatible request patterns can usually be reused after updating the base URL, credential, and model value.
03Review Pricing
Before scaling usage, review qwen 3.7 plus pricing: $0.1650 input, $0.6610 output, $0.0170 cache read, and $0.2060 cache write per 1M tokens. These rows use the official input <= 256k tier as the reference.
04Compare Routes
Run the same prompts through Qwen 3.7 Plus, Qwen3.7 Max, and any baseline models you already trust. Compare answer quality, latency, token usage, and cost before deciding which model should handle each application path.
05Monitor Results
After testing, review usage logs, failures, latency patterns, and spend inside OurToken. This helps decide whether qwen 3.7 plus api is ready for production traffic or needs more prompt and routing validation.
06qwen 3.7 plus api FAQ
Answers about qwen 3.7 plus pricing, qwen 3.7 plus model selection, benchmark testing, model ID, and provider comparison.
