Qwen: Qwen3 Next 80B A3B Instruct✓ Catalog verified
Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual use, while remaining robust on alignment and formatting. Compared with prior Qwen3 instruct variants, it focuses on higher throughput and stability on ultra-long inputs and multi-turn dialogues, making it well-suited for RAG, tool use, and agentic workflows that require consistent final answers rather than visible chain-of-thought. The model employs scaling-efficient training and decoding to improve parameter efficiency and inference speed, and has been validated on a broad set of public benchmarks where it reaches or approaches larger Qwen3 systems in several categories while outperforming earlier mid-sized baselines. It is best used as a general assistant, code helper, and long-context task solver in production settings where deterministic, instruction-following outputs are preferred.
Overview
Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual use, while remaining robust on alignment and formatting. Compared with prior Qwen3 instruct variants, it focuses on higher throughput and stability on ultra-long inputs and multi-turn dialogues, making it well-suited for RAG, tool use, and agentic workflows that require consistent final answers rather than visible chain-of-thought. The model employs scaling-efficient training and decoding to improve parameter efficiency and inference speed, and has been validated on a broad set of public benchmarks where it reaches or approaches larger Qwen3 systems in several categories while outperforming earlier mid-sized baselines. It is best used as a general assistant, code helper, and long-context task solver in production settings where deterministic, instruction-following outputs are preferred.
Access: available through the official Qwen API. Context window: 262K.
Specifications
| API identifier | qwen/qwen3-next-80b-a3b-instruct |
| Provider | Qwen |
| Model type | Text LLM |
| Context window | 262K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Sep 11, 2025 |
| Tokenizer | Qwen3 |
| Moderated | No |
| Architecture modality | text->text |
Pricing
Live pricing components for qwen/qwen3-next-80b-a3b-instruct as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $9e-8 | $0.09 / 1M | Per input token |
| Completion tokens | $0.0000011 | $1.10 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.27Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | ✓ Supported | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Qwen: Qwen3 Next 80B A3B Instruct through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="qwen/qwen3-next-80b-a3b-instruct",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| ByteDance Seed: Seed 1.6 | Bytedance Seed | 262K | $0.25 | View → |
| ByteDance Seed: Seed 1.6 Flash | Bytedance Seed | 262K | $0.07 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Qwen: Qwen3 Next 80B A3B Instruct cost?
$0.09 per 1M input tokens and $1.10 per 1M output tokens on the official Qwen API.
What is the context window of Qwen: Qwen3 Next 80B A3B Instruct?
Qwen: Qwen3 Next 80B A3B Instruct supports up to 262K tokens of context.
Does Qwen: Qwen3 Next 80B A3B Instruct support tool / function calling?
Yes, Qwen: Qwen3 Next 80B A3B Instruct supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Qwen: Qwen3 Next 80B A3B Instruct?
Use the official Qwen API with the model id `qwen/qwen3-next-80b-a3b-instruct`. See the Quick start section above for code examples.