Qwen3 Next 80B A3B Instruct
VerifiedOpen-weight LLM optimized for long-context instruction following.
About Qwen3 Next 80B A3B Instruct
Its design centers on an instruct-tuned architecture that processes very long sequences efficiently. The open-weight release enables broad access for customization and research. This approach supports deployment across varied hardware setups without proprietary restrictions.
Strengths include maintaining coherence over extended documents and multi-turn interactions. It suits applications such as detailed analysis, content generation, and conversational agents. Developers commonly integrate it into tools requiring precise adherence to complex prompts.
Capabilities
How Qwen3 Next 80B A3B Instruct compares
Qwen3 Next 80B A3B Instruct (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Qwen3 Next 80B A3B Instruct ranks #49 of 78
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long document analysis
The 262144-token context enables coherent processing of full-length reports, books, or legal texts in one pass for summarization and insight extraction.
Large codebase navigation
The model can ingest extensive code repositories to support refactoring, debugging, and architectural review without losing track of distant dependencies.
Extended multi-turn reasoning
It maintains continuity across very long instruction chains or research dialogues while preserving earlier details and constraints.
Strengths & limitations
Strengths
- +Handles very long inputs effectively
- +Strong reasoning on complex tasks
- +Good coding and math performance
Limitations
- –Text-only modality
- –High inference cost for large scale
- –No native tool-use or multimodal support
Cost calculator
Estimate what Qwen3 Next 80B A3B Instruct would cost for your usage.
Based on Qwen3 Next 80B A3B Instruct's $0.09/1M input · $1.10/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "qwen/qwen3-next-80b-a3b-instruct",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: qwen/qwen3-next-80b-a3b-instruct
Editor's verdict
Qwen3 Next 80B A3B Instruct is Alibaba Qwen's open-weight language models with a 262K-token context window.
At $1.10 per 1M output tokens, it is mid-priced for its class.
As an open-weight model you can self-host it or call it through a hosted API.
Best suited to handles very long inputs effectively and strong reasoning on complex tasks.
Frequently asked questions
The model supports a context window of 262144 tokens.
User reviews
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