Qwen3-Next-80B-A3B API Provider: Choose Smarter for Better AI

Qwen3-Next-80B-A3B is a cutting-edge reasoning model built on the latest Qwen3-Next framework, including Instruct and Thinking variants. It features 80 billion total parameters while activating only 3 billion during inference, delivering high efficiency and powerful performance that competes with significantly larger dense models.

In this article, we’ll review the performance of Qwen3-Next-80B-A3B and explore the top 3 API providers—OneRouter, Clarifai, and Hyperbolic—and compare their basics, performance, and pricing to help you choose the right fit for your AI workflow.

Table Of Contents

1. What is Qwen3-Next-80B-A3B?

2. How to Choose the Right API Provider?

3. Qwen3-Next-80B-A3B API Provider Comparison

4. Top Qwen3-Next-80B-A3B API Provider: Novita AI

5. Top 3 Qwen3-Next-80B-A3B API Provider: Clarifai

6. Top 3 Qwen3-Next-80B-A3B API Provider: Hyperbolic

What is Qwen3-Next-80B-A3B?

Qwen3-Next-80B-A3B is the first installment in the Qwen3-Next series, delivering state-of-the-art performance in multiple domains.

Basic Information of Qwen3-Next-80B-A3B

Benchmark and Key Capabilities

Instruct Model Performance

Source from: Official Qwen3-Next Blog

• High performance without extreme scale, giving you near-frontier accuracy without paying for 200B+-class models.

• Strong general reasoning across math, coding, and mixed benchmarks, making it a reliable default model for broad workloads.

• Top performance on Arena-Hard v2, providing strong real-world alignment with human preference tasks.

• Cost-efficient upgrade for teams wanting a powerful instruction model without jumping to ultra-large parameter sizes.

• Well-balanced across domains, suitable for chat, code assistance, analysis, and evaluation tasks with predictable quality.

Thinking Model Performance

Source from: Official Qwen3-Next Blog

• Exceptional deliberate reasoning with standout scores in math (AIME25: 87.8) and long-form logic tasks.

• Better chain-of-thought efficiency, letting you achieve deeper reasoning quality while keeping token usage lower than giant models.

• Strong alternative to expensive reasoning models, outperforming or matching models like Gemini 2.5 Flash Thinking at a lower parameter scale.

• Ideal for decision-making, multi-step problem solving, and scientific workflows, where accuracy and depth matter more than speed.

• High performance across coding and evaluation, making it valuable for engineering, research, and enterprise cognitive tasks.

How to Choose the Right API Provider?

1. Context Length (Higher is better): A larger context length lets the model read and process more text in a single run, supporting deeper summaries, longer conversations, and more complex reasoning.

2. Token Cost (Lower is better): A lower token cost means each piece of text processed is cheaper, making frequent queries and large scale workloads more budget friendly.

3. Latency (Lower is better): Lower latency means the model replies faster, creating smoother interactions that are important for assistants, chat tools, and real time systems.

4. Throughput (Higher is better): Higher throughput means the model can handle more requests at the same time, ensuring stable performance even during heavy usage.

Qwen3-Next-80B-A3B API Provider Comparison

OneRouter delivers the best overall value: the lowest prices, solid speed, and full support for function calling and JSON Mode. It offers the most cost-efficient and developer-friendly option for real production use. Clarifai offers a high token prices and lack of key features make it expensive and less practical for real-world scaling. Hyperbolic provides fast output speed but higher input cost and missing function calling limit its flexibility compared to OneRouter.

Top Qwen3-Next-80B-A3B API Provider: OneRouter

OneRouter provides a simplified API scheme where developers can call AI models right away using an easy-to-use API. By offering affordable, ready-to-use multimodal models like Qwen3-Next-80B-A3B, GLM 4.6, Kimi K2 Thinking, DeepSeek V3.2 Exp, GPT-OSS, and others, it eliminates configuration hassles and lets you begin building without delay.

How to Access via OneRouter API?

Step 1: Log In and Access the Model Marketplace

Log in or sign up to your account and click on the Model Marketplace button

Step 2: Choose Your Model

Try Qwen3-Next-80B-A3B for Free Now!

Step 3: Start Your Free Trial

Begin your free trial to explore the capabilities of the selected model.

Step 4: Get API KEY

To authenticate with the API, OneRouter provides you with a new API key. Entering the “API Keys“ page, you can copy the API key as indicated in the image.

Step 5: Install the API

Install API using the package manager specific to your programming language.

Once the installation is complete, bring the required libraries into your development setup. Then load your API key to activate the OneRouter LLM. The following snippet shows how Python users can work with the chat completions API.

from openai import OpenAI
client = OpenAI(
   base_url="https://llm.onerouter.pro/v1",
   api_key="<API_KEY>",
)

completion = client.chat.completions.create(
   model="qwen3-next-80b-a3b-instruct",
   messages=[
     {
       "role": "user",
       "content": "What is the meaning of life?"
     }
   ]
)

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

Frequently Asked Questions

What is the Qwen3-Next-80B-A3B model?

It is a powerful large language model built on the Qwen3-Next architecture, offering advanced reasoning, strong coding ability, and exceptional performance while keeping inference efficient.

Does Qwen3-Next-80B-A3B support chain-of-thought reasoning?

Yes. The Thinking variant is optimized for multi-step reasoning, problem solving, math, and complex analysis tasks.

Which provider offers the best pricing for Qwen3-Next-80B-A3B?

OneRouter consistently delivers the lowest input cost and strong performance, making it the most cost-effective option for scaling real workloads.

OneRouter provides a unified API that gives you access to hundreds of AI models through a single endpoint, while automatically handling fallbacks and selecting the most cost-effective options. Get started with just a few lines of code using your preferred SDK or framework.