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AlibabaActive

Qwen3-Coder-Plus API

Dedicated coding model with 1M context. Handles entire codebases in a single context window.

πŸ’° Save up to 70% vs official Alibaba pricing
TL;DR
Price: $0.65/1M input Β· $3.25/1M output
Context: 1M Β· max 65,536 output
Provider: Alibaba
Cost advantage: Cheaper than official API Β· No credit card

Qwen3-Coder-Plus β€” cheaper than the official Alibaba API

Access Qwen3-Coder-Plus through AI API Hub and pay less per token. Same OpenAI-compatible endpoint, lower cost.

$0.65/1M
input token price
INPUT / 1M tokens
$0.65
OUTPUT / 1M tokens
$3.25
CONTEXT WINDOW
1M

Technical Specifications

ProviderAlibaba
Model FamilyQwen3-Coder-Plus
Release Date2026-05
Context Window1M
Max Output Tokens65,536
Input Price$0.65 / 1M tokens
Output Price$3.25 / 1M tokens
Vision SupportNo
Function CallingNo
JSON ModeNo
StreamingNo
Fine TuningNot Available
StatusActive βœ“

Overview

Qwen3-Coder-Plus is Alibaba's current qwen model, released in 2026-05. Dedicated coding model with 1M context. Handles entire codebases in a single context window.

For developers, the headline numbers are a 1M context window and up to 65,536 output tokens per response β€” enough headroom for code specialist and 1m context without chunking your input. Priced at $0.65/1M input and $3.25/1M output, it sits in the budget tier β€” ideal for high-volume pipelines where token cost dominates.

On the capability side, Qwen3-Coder-Plus exposes 2 features: Code Generation, Multilingual. Note that fine-tuning isn't supported β€” you'll work with the base model. It's text-only, so route image or audio workloads elsewhere.

The practical appeal of routing Qwen3-Coder-Plus through AI API Hub is simplicity: one OpenAI-compatible endpoint, USDT & USDC payments, no credit card, and you're calling the API in under 30 seconds β€” just swap your base URL.

What Makes Qwen3-Coder-Plus Different

How Qwen3-Coder-Plus is used

Qwen3-Coder-Plus is used for code completion, inline suggestions, test generation, and bulk refactoring. It's tuned for low-latency developer-facing workflows. For reasoning-heavy or multi-step architecture decisions, consider a reasoning-tuned sibling model.

Pricing position within Alibaba

Qwen3-Coder-Plus sits in the middle of Alibaba's pricing at $0.65/1M input β€” 43% above the lineup average ($0.07 cheapest, $1.20 most expensive). 4 siblings cost less, 1 cost more. This mid-tier positioning makes it a sensible default when you're unsure which variant to pick.

Qwen3-Coder-Plus's role in the lineup

Within Alibaba's lineup, Qwen3-Coder-Plus is a mid-tier option β€” balanced between cost and capability. The qwen family has 6 active variants, and Qwen3-Coder-Plus occupies the upper end. This makes it a safe default for production workloads where you're not sure which tier to pick.

Real-world use cases

Real-world deployments: inline code completion in IDEs, automated test generation, bulk code refactoring pipelines, and code review bots. Qwen3-Coder-Plus is tuned for low-latency developer workflows where response speed matters as much as code quality.

vs sibling models

What makes Qwen3-Coder-Plus different from sibling models: compared to Qwen3-Max ($0.55/1M more expensive, 252K vs 1M context (smaller)); Qwen3.5-Plus ($0.25/1M cheaper, same 1M context); Qwen3.5-Flash ($0.55/1M cheaper, same 1M context). Choose Qwen3-Coder-Plus when code generation is the primary task.

API Examples

Python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.apiyihe.org/v1"
)

response = client.chat.completions.create(
    model="qwen3-coder-plus",
    messages=[
        {"role": "user", "content": "Hello"}
    ]
)

print(response.choices[0].message.content)

JavaScript / Node.js

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.API_KEY,
  baseURL: "https://api.apiyihe.org/v1"
});

const response = await client.chat.completions.create({
  model: "qwen3-coder-plus",
  messages: [
    { role: "user", content: "Hello" }
  ]
});

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

cURL

curl https://api.apiyihe.org/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "qwen3-coder-plus",
    "messages": [
      {"role": "user", "content": "Hello"}
    ]
  }'

Supported Features

Vision / Image Input❌ Not Available
Audio / Voice Input❌ Not Available
Function Calling❌ Not Available
JSON Mode❌ Not Available
Streaming❌ Not Available
Fine-Tuning❌ Not Available
Multimodal❌ Not Available

Benchmark Scores

BenchmarkScore
MMLUNot Publicly Available
GPQANot Publicly Available
SWE-BenchNot Publicly Available
HumanEvalNot Publicly Available
GSM8KNot Publicly Available
MATHNot Publicly Available
MMMUNot Publicly Available
Scores are from official provider publications. Empty fields indicate benchmarks not yet publicly disclosed.

Pricing History

Qwen3-Coder-Plus was released in 2026-05 by Alibaba and is currently publicly available via AI API Hub.

Current Pricing: $0.65 per 1M input tokens Β· $3.25 per 1M output tokens. Pay-as-you-go with no minimum commitment.

Pricing Model: Token-based billing (pay per use). No subscription fees. No hidden costs.

πŸ’‘ Alibaba occasionally updates pricing. AI API Hub reflects current pricing in real-time. All prices in USD. Pay with USDT or USDC β€” no currency conversion fees.

Compare Alternatives

Frequently Asked Questions

What is Qwen3-Coder-Plus?

Qwen3-Coder-Plus is Alibaba's current qwen model. Dedicated coding model with 1M context. Handles entire codebases in a single context window. It offers a 1M context window and supports Code Generation, Multilingual. You can access it through AI API Hub using USDT or USDC β€” no credit card required.

How much does Qwen3-Coder-Plus cost?

Qwen3-Coder-Plus is priced at $0.65 per 1M input tokens and $3.25 per 1M output tokens, billed pay-as-you-go with no minimum. Through AI API Hub you can start with as little as $5 and scale from there.

Qwen3-Coder-Plus vs GPT-5.5?

They're built for different jobs. Qwen3-Coder-Plus costs $0.65/1M input with a 1M window; GPT-5.5 runs $5.00/1M input with 256K. Qwen3-Coder-Plus is the more cost-effective pick and still brings code specialist. See the full side-by-side at /compare/qwen3-coder-plus-vs-gpt-5.5/.

Qwen3-Coder-Plus context window?

Qwen3-Coder-Plus has a 1M context window, capable of processing up to 1,048,576 tokens in a single request. Maximum output tokens: 65,536.

Does Qwen3-Coder-Plus support function calling?

No, Qwen3-Coder-Plus does not natively support function calling. For function calling use cases, consider Alibaba's flagship models.

Is Qwen3-Coder-Plus multimodal?

No, Qwen3-Coder-Plus is a text-only model. For multimodal use cases, consider models with vision/audio capabilities.

Qwen3-Coder-Plus API rate limits?

Qwen3-Coder-Plus rate limits: 5K RPM. Higher tier plans offer increased throughput. For high-volume production use, consider Alibaba's faster variant models.

How to access Qwen3-Coder-Plus API?

Access Qwen3-Coder-Plus through AI API Hub: (1) Register at api.apiyihe.org/register?aff=8JZC, (2) Deposit USDT/USDC, (3) Get your API key instantly, (4) Use the OpenAI-compatible endpoint https://api.apiyihe.org/v1 with model name "qwen3-coder-plus". Start building in under 30 seconds.

Get Qwen3-Coder-Plus API Access

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