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Qwen: Qwen3.7 Plus API

qwen3.7-plus
Playground

Qwen3.7 Plus API combines text and image input with a one-million-token context and broad tool controls. Its strongest fit is a long-running agent that needs visual understanding without moving to the higher Qwen3.7 Max price tier. [1]

Qwen3.7 Plus API — LLM2014 logic 2026-08: Qwen3.7-Plus (high) ranks #23 with a 38.74 median, 51.36 best score, and 1254s average time; Qwen3.7-Plus (standard) ranks #31 with a 15.63 median, 20.84 best score, and 323s average time. Configurations are separate. [1][2]

MODALITIES
Price$0.24 / $0.96 / 1MCONTEXT1M

Playground

Try Qwen3.7 Plus in the API Need Playground.

Provider

Current API Need routing and live API pricing. [1]

API Need25% off
Uptime
Total Context
1M
Max Output
131.072K
Input
$0.24/ 1M
Output
$0.96/ 1M
Cache Read
$0.048/ 1M
Cache Write
$0.3/ 1M

Pricing

Pricing uses the current live API Need configuration for this model.

Official
Provider baseline
Input $0.32/ 1MOutput $1.28/ 1M
Baseline

Availability

Recent public performance data for this model.

API statusLive metrics
API Need gateway99.40% uptime

Benchmarks

Editorial benchmark data is shown when this model has a verified match. [2]Intelligence uses the source’s median-score ranking. Efficiency views are APINEED calculations, not official LLM2014 rankings. Test costs and reference prices are converted at ¥7 per US dollar; they are not APINEED selling prices. Missing values are N/A. These results describe the source’s tested configurations, not guaranteed APINEED endpoint performance.

1stGPT-5.5 (xhigh)80.2373.897.9%534s33,219$27.51$29.57
2ndGPT-5.6 Sol (xhigh)78.3769.4211.42%381s17,769$14.71$29.57
3rdKimi-K3 (max)75.7767.6610.7%1144s41,432$17.40$15.00
4thClaude Opus 5 (xhigh)71.2464.749.12%437s26,705$18.43$24.64
5thGLM-5.3 (max)74.4863.9114.19%1009s57,408$6.43$4.00
6thGLM-5.3-Flash (max)69.5560.5212.98%863s38,787$0.22$0.20
7thQwen3.8-Max (xhigh)64.6860.057.16%1297s65,135$9.38$5.14
8thDeepSeek V4 Pro 0813(max)70.1359.6314.97%1601s73,350$7.92$3.86
9thDeepSeek-V4-Flash-Vision-Exp (max)62.8658.107.57%974s79,420$2.86$1.29
10thGemini 3.7 Flash (high)66.6257.5613.6%131s26,596$2.75$3.70
11thGrok 4.6 (high)67.9356.4116.96%813s33,807$5.60$5.91
12thGemini 3.1 Pro (high)69.3555.8419.48%235s28,338$9.39$11.83
13thDeepSeek V4 Flash 0731 (max)66.3455.2316.75%881s74,657$2.69$1.29
14thGLM-5.2 (max)66.5354.7017.78%891s46,273$5.18$4.00
15thQwen3.8-Flash (xhigh)65.4454.4916.73%844s64,942$0.70$0.39
16thGPT-5.6 Luna (xhigh)65.9251.6221.69%247s37,885$1.25$1.18
17thQwen3.8-27B (xhigh)58.4847.6518.52%2318s73,987$3.55$1.71
18thDoubao-Seed-2.1-pro (high)55.1245.7816.94%2026s85,238$10.23$4.29
19thMuse Spark 1.2 (xhigh)57.9345.1422.08%359s47,209$5.54$4.19
20thGemini 3.7 Flash (low)53.5044.0617.64%59s10,673$1.10$3.70
21stClaude Sonnet 5 (xhigh)47.8039.5717.22%545s45,066$12.44$9.86
22ndTencent Hy3 (high)57.8939.5131.75%1076s53,214$0.85$0.57
23rdQwen3.7-Plus (high)51.3638.7424.57%1254s58,610$1.88$1.14
24thMiniMax-M343.8337.3714.74%982s57,486$1.93$1.20
25thDoubao-Seed-2.0-lite 0428 (high)34.1326.1823.29%669s27,845$0.40$0.51
26thClaude Opus 534.9424.5829.65%156s10,261$7.08$24.64
27thGemini 3.5 Flash Lite (high)29.5120.4430.74%192s17,842$1.23$2.46
28thLing-3.0-flash28.3717.0539.9%735s95,538N/AN/A
29thGemma 4 31B21.3616.0924.67%756s15,290$0.17$0.39
30thopenPangu-2.0-Pro20.0215.7521.33%645s28,215$1.64$2.07
31stQwen3.7-Plus20.8415.6325%323s8,910$0.29$1.14
32ndGPT-5.5 Instant21.7314.0935.16%28s1,712$1.42$29.57
33rdMistral Medium 3.517.2513.8719.59%200s28,129$5.82$7.39
34thStep-3.7-Flash26.1813.7447.52%282s47,180$1.53$1.16
35thMiMo-V2.5-Pro26.3113.0050.59%550s33,095$0.79$0.86
36thDots3-Note Preview18.6312.9530.49%210s28,386N/AN/A
37thERNIE 5.116.3211.3230.64%468s24,522$1.77$2.57
38thQwen3.8-27B16.4810.6135.62%192s8,914$0.43$1.71
39thopenPangu-2.0-Flash19.2410.1647.19%583s29,052$0.19$0.23
40thLongCat-2.017.619.7444.69%374s14,273$0.46$1.14
41stClaude Sonnet 516.499.6741.36%113s6,175$1.70$9.86
42ndGLM-5.212.428.0535.19%24s929$0.10$4.00
43rdDeepSeek V4 Flash 073113.577.9341.56%53s4,621$0.17$1.29
44thGemini 3.1 Flash Lite9.017.1121.09%11s707$0.03$1.48
45thDoubao-Seed-2.1-pro13.036.1752.65%319s6,948$0.83$4.29
46thMistral Medium 3.58.455.9329.82%18s2,589$0.54$7.39

Quick Start

Call Qwen3.7 Plus with its real backend model ID.

1

Get an API key

Create an API key in the product app.

export API_NEED_API_KEY=sk-apineed-v1-...
2

Send a request

Call /v1/chat/completions with model qwen3.7-plus.

TypeScript SDKPythoncURLOpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.API_NEED_API_KEY,
  baseURL: "https://apineed.com/v1"
});

const result = await client.chat.completions.create({
  model: "qwen3.7-plus",
  messages: [
    { role: "user", content: "Why is the sky blue?" }
  ]
});

console.log(result.choices[0].message.content);
3

Handle the response

Validate responses and errors in your application.

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

Endpoints

Endpoints currently returned by the live pricing API.

POST/v1/responses
Authorization
Bearer $API_NEED_API_KEY
Content-Type
application/json
HTTP-Referer
optional - your site URL, for rankings
X-Title
optional - your site name, for rankings
Model
qwen3.7-plus
POST/v1/chat/completions
Authorization
Bearer $API_NEED_API_KEY
Content-Type
application/json
HTTP-Referer
optional - your site URL, for rankings
X-Title
optional - your site name, for rankings
Model
qwen3.7-plus

Parameters

Supported parameters are shown when verified metadata is available. [1]

No verified parameter metadata is currently available.

Qwen3.7 Plus API Q&A

Model-specific answers for teams comparing Qwen3.7 Plus API on capability, benchmark evidence, integration, and cost.

Which Qwen3.7 Plus API reasoning mode ranks highest?

Qwen3.7 Plus — LLM2014 logic 2026-08: Qwen3.7-Plus (high) ranks #23 with a 38.74 median, 51.36 best score, and 1254s average time; Qwen3.7-Plus (standard) ranks #31 with a 15.63 median, 20.84 best score, and 323s average time. Configurations are separate.

Can Qwen3.7 Plus API process images?

Yes. The model accepts text and image input, returns text, and supports a one-million-token context window.

What does Qwen3.7 Plus API prompt caching cost?

APINEED lists $0.048 cache read and $0.30 cache creation per million tokens after the 25% discount.

When should an agent use Qwen3.7 Plus?

For Qwen3.7 Plus API, use it when visual input, tools, structured output, and long context matter more than the lowest possible input price.

Which endpoint serves Qwen3.7 Plus API?

Call Qwen3.7 Plus API through https://apineed.com/v1/chat/completions with qwen3.7-plus as the model value. Existing OpenAI SDK clients usually need only the APINEED base URL and key.

How do I validate Qwen3.7 Plus API before release?

Evaluate Qwen3.7 Plus API on representative prompts, record quality, latency, and token use, then choose reasoning settings and fallbacks from those results.

How to deploy Qwen3.7 Plus

Connect the live model to your application.

1

Top up

Add usage credit in the product app.

2

Create a key

Create and securely store an API key.

3

Configure the endpoint

Send requests to /v1/chat/completions.

4

Monitor responses

Track status, latency, and errors in your application.

More live models