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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]

The high-reasoning row ranks #16 with a 44.09 median, while the standard row ranks #31 with a 16.23 median. That gap makes reasoning configuration a material deployment decision rather than a cosmetic parameter. [1][2]

MODALITIES
Price$0.24 / $0.96 / 1MCONTEXT1M

Playground

Test Qwen3.7 Plus API with representative production prompts before using qwen3.7-plus in a live workflow.

Providers

OpenRouter lists Qwen3.7 Plus API with text and image input, text output, and a 1M context window. APINEED routing and prepaid rates are identified separately. [1]

API Need25% off
Uptime
Total Context
1M
Max Output
65.536K
Input
$0.24/ 1M
Output
$0.96/ 1M
Cache Read
$0.048/ 1M
Cache Write
$0.3/ 1M

Discount

Official rates are $0.32 input, $1.28 output, $0.064 cache read, and $0.40 cache create per million tokens. APINEED reduces each listed rate by 25%. The table compares official Qwen3.7 Plus API pricing with the APINEED prepaid rate.

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

Availability

APINEED continuously monitors Qwen3.7 Plus API access and keeps requests on healthy capacity.

System statusLast 90 days
APINEED GATEWAY99.40% uptime

Qwen3.7 Plus API Benchmarks

The high configuration ranks #16 and the standard configuration ranks #31. Both rows remain visible so the quality and latency trade-off is not collapsed into one score. The complete LLM2014 logic 2026-07 table remains below, with Qwen3.7 Plus API highlighted when a current row exists. [2]

1stGPT-5.5 (xhigh)83.8077.467.57%494s30,811$25.51$29.57
2ndKimi-K3 (max)82.9174.809.78%1095s39,912$16.76$15.00
3rdClaude Opus 4.8 (xhigh)82.6266.7019.27%791s41,833$28.86$24.64
4thGPT-5.6 Sol (xhigh)81.9472.9910.92%369s17,433$14.43$29.57
5thClaude Opus 5 (xhigh)78.3871.888.29%426s26,392$18.21$24.64
6thQwen3.7-Max (xhigh)74.5666.9510.21%374s54,207$7.81$5.14
7thGLM-5.2 (max)73.6858.2720.91%890s45,683$5.12$4.00
8thGemini 3.1 Pro (high)73.3658.4620.31%214s25,905$8.58$11.83
9thGPT-5.6 Luna (xhigh)69.4951.9725.21%242s38,083$6.31$5.91
10thDeepSeek V4 Pro (max)68.0049.9726.51%1468s60,558$1.45$0.86
11thGrok 4.5 (high)67.5956.7216.08%451s43,372$7.18$5.91
12thMuse Spark 1.166.1857.2313.52%542s42,416$4.98$4.19
13thGemini 3.5 Flash (high)65.9260.398.39%188s36,372$9.03$8.87
14thDoubao-Seed-2.1-pro (high)58.6949.3515.91%2003s85,059$10.21$4.29
15thQwen3.7-Plus (high)58.5044.0924.63%1237s57,152$1.83$1.14
16thGemini 3.6 Flash (high)56.8741.7426.6%206s26,329$5.45$7.39
17thTencent Hy3 (high)54.4244.6018.04%1035s52,037$0.83$0.57
18thClaude Sonnet 5 (xhigh)51.3743.1416.02%529s44,118$12.18$9.86
19thDeepSeek V4 Flash (max)50.6236.2428.41%611s49,593$0.40$0.29
20thMiniMax-M349.1840.9416.75%985s56,467$1.90$1.20
21stClaude Opus 542.0831.7324.6%154s10,180$7.02$24.64
22ndClaude Opus 4.636.8825.7930.07%65s4,387$3.03$24.64
23rdDoubao-Seed-2.0-lite 0428 (high)35.3226.7724.21%656s26,726$0.38$0.51
24thGemini 3.5 Flash (minimal)33.2422.2233.15%44s6,189$1.54$8.87
25thLing-3.0-flash32.5320.6236.61%688s86,204$0.00$0.00
26thGemini 3.5 Flash Lite (high)30.2322.8224.51%188s18,297$1.26$2.46
27thGPT-5.5 Instant28.8717.6638.83%25s1,673$1.39$29.57
28thGemma 4 31B27.9122.0421.03%770s15,050$0.17$0.39
29thMiMo-V2.5-Pro26.9113.0051.69%478s29,443$0.71$0.86
30thQwen3.7-Plus26.1916.2338.03%314s8,692$0.28$1.14
31stStep-3.7-Flash26.1813.7447.52%258s44,912$1.46$1.16
32ndQwen3.5-27B24.9617.9827.96%451s26,391$0.51$0.69
33rdGemini 3.1 Flash Lite (high)23.7814.3039.87%82s28,351$1.17$1.48
34thClaude Sonnet 523.6410.8654.06%109s5,962$1.65$9.86
35thQwen3.7-Max22.4518.5317.46%196s6,710$0.97$5.14
36thERNIE 5.120.4915.4924.4%457s24,093$1.73$2.57
37thopenPangu-2.0-Flash19.8310.7645.74%571s28,199$0.18$0.23
38thLongCat-2.019.409.7449.79%395s14,886$0.48$1.14
39thDeepSeek V4 Flash19.3913.3731.05%63s5,286$0.04$0.29
40thMistral Medium 3.518.4413.8724.78%194s27,854$5.77$7.39
41stDoubao-Seed-2.1-pro17.499.7444.31%305s6,009$0.72$4.29
42ndGLM-5.214.8010.4329.53%23s953$0.11$4.00
43rdLing-2.6-1T13.058.3935.71%229s4,770$0.31$2.29
44thiFLYTEK Spark X212.396.2149.88%458s11,285$0.09$0.29
45thGemini 3.1 Flash Lite11.7910.2812.81%9s773$0.03$1.48
46thMistral Medium 3.510.837.1334.16%17s2,546$0.53$7.39
47thLing-2.6-flash10.074.8551.84%25s4,997$0.04$0.30

Quick Start

Connect Qwen3.7 Plus API without changing the OpenAI-style request shape. Use structured outputs and tools for document agents, visual extraction, and long-context workflows. Test high reasoning separately because its measured benchmark run used substantially more time.

1

Get your API key

Create an APINEED key for Qwen3.7 Plus API and keep it in an environment variable.

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

Make your first request

Use qwen3.7-plus for Qwen3.7 Plus API with the APINEED API. The request shape is compatible with OpenAI chat completions, so most SDKs only need a base URL change.

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

Enable streaming and fallbacks

Add stream: true when Qwen3.7 Plus API should return server-sent events. APINEED keeps routing, provider health, and fallback handling behind the same endpoint.

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" }]
  }'

Qwen3.7 Plus API Endpoint

Qwen3.7 Plus API accepts chat conversations here with streaming or non-streaming text output; the supported controls are listed on this page.

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

Qwen3.7 Plus API parameters currently listed for qwen3.7-plus by the OpenRouter Models API. [1]

NameTypeStatusDescription
frequency_penaltynumberSupportedPenalizes repeated token frequency.
include_reasoningbooleanSupportedIncludes reasoning content in the response when available.
logprobsbooleanSupportedReturns token log probabilities.
max_tokensintegerSupportedLimits generated output tokens.
presence_penaltynumberSupportedPenalizes tokens already present in the output.
reasoningobjectSupportedControls reasoning behavior and token allocation.
response_formatobjectSupportedRequests a specific response format.
seedintegerSupportedRequests deterministic sampling when supported by the provider.
stopstring or arraySupportedStops generation at the supplied sequence.
structured_outputsbooleanSupportedEnables schema-constrained structured output.
temperaturenumberSupportedControls sampling randomness.
tool_choicestring or objectSupportedControls which tool the model may call.
toolsarraySupportedDefines tools available to the model.
top_kintegerSupportedRestricts sampling to the highest-probability tokens.
top_logprobsintegerSupportedSets how many top-token log probabilities are returned.
top_pnumberSupportedControls nucleus sampling.

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?

The high configuration is the best current row at #16 with a 44.09 median score; the standard configuration ranks #31.

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?

See the live pricing table above for the current API Need input and output prices for qwen3.7-plus.

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 the Qwen3.7 Plus API on apineed.com

Deploy Qwen3.7 Plus API through APINEED after validating its model-specific trade-offs above. The API key, credit, and endpoint flow stays consistent across the catalog.

1

Add credits for Qwen3.7 Plus API

Add credits on APINEED before deploying the Qwen3.7 Plus API. Pay-as-you-go billing lets usage start small and scale with production traffic.

2

Get your API key

Create an APINEED API key for the Qwen3.7 Plus API. The same key can call Qwen3.7 Plus and other AI APIs through apineed.com.

3

Set the model slug

Use qwen3.7-plus as the model value when you deploy the Qwen3.7 Plus API. Keep the APINEED base URL at https://apineed.com/v1.

4

Send a request to Qwen3.7 Plus API

Send chat completions or responses to the Qwen3.7 Plus API from Claude Code, Codex, or any custom agent. The request keeps its OpenAI-compatible shape.

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