How much does Qwen3 Next 80B A3B Instruct cost via API?

It's free: $0 per 1M input tokens and $0 per 1M output tokens from the provider. OpenKey applies its flat 3% fee to provider pricing, but 3% of $0 is still $0, so there's no cost to run this model through OpenKey.

What is Qwen3 Next 80B A3B Instruct's context window?

It supports 262,144 tokens of context, enough for very long documents, large codebases, or extended multi-turn conversations in one request. That places it above 56% of models in the OpenKey catalog by context length.

Is Qwen3 Next 80B A3B Instruct free to use?

Yes. Both prompt and completion tokens are priced at $0 per 1M by the provider, and OpenKey passes that through unchanged since its 3% fee has no effect on a $0 base price.

Does Qwen3 Next 80B A3B Instruct support tool calling and structured outputs?

Yes. It supports the `tools` and `tool_choice` parameters for function calling, plus `response_format` and `structured_outputs` for schema-constrained responses. It also accepts standard sampling controls like `temperature`, `top_p`, and `top_k`.

What is Qwen3 Next 80B A3B Instruct's knowledge cutoff?

Its knowledge cutoff is September 30, 2025. The model itself was released September 11, 2025, so its training data extends slightly past its release date.

Qwen3 Next 80B A3B Instruct (free)

qwenqwen3-next-80b-a3b-instruct:free

Free

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...

Try in playground Hugging Face ↗

Modalities: text → text
In / out per 1M: Free / Free
Context: 262K tokens
Added: Sep 11, 2025

Tokenizer: Qwen3
Knowledge cutoff: Sep 30, 2025

Pricing

Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.

Per 1M tokens	Provider	+ 3% fee	You pay
Input	Free	—	Free
Output	Free	—	Free

Providers

No provider breakdown is published for Qwen3 Next 80B A3B Instruct (free) in the current catalog snapshot (Jul 28, 2026). Browse all providers

Supported parameters

frequency_penalty
max_tokens
presence_penalty
response_format
stop
structured_outputs
temperature
tool_choice
tools
top_k
top_p

Call it

OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model qwen/qwen3-next-80b-a3b-instruct:free.

curl Python TypeScript

curl https://api.openkey.ai/v1/chat/completions \
  -H "Authorization: Bearer ***" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-next-80b-a3b-instruct:free",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.openkey.ai/v1",
    api_key=os.environ["OPENKEY_API_KEY"],
)

completion = client.chat.completions.create(
    model="qwen/qwen3-next-80b-a3b-instruct:free",
    messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.openkey.ai/v1",
  apiKey: process.env.OPENKEY_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "qwen/qwen3-next-80b-a3b-instruct:free",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

About Qwen3 Next 80B A3B Instruct (free)

Qwen3 Next 80B A3B Instruct is Qwen's instruction-tuned model built for direct answers rather than visible reasoning traces — no chain-of-thought output, just the final response. With a 262,144-token context window, it's built to hold large codebases or long documents in a single pass. Alibaba Cloud (Tongyi Lab) positions it for reasoning, code generation, knowledge QA, and multilingual tasks, and it supports tool calling and structured outputs, making it usable in agent pipelines, not just chat.

This model's 262,144-token context window sits above 56% of the catalog — larger than most models you'll find on OpenKey. It's also free: $0 per 1M input and output tokens, versus siblings like Qwen2.5 72B Instruct ($0.36/$0.40 per 1M) or Qwen2.5 Coder 32B Instruct ($0.66/$1.00 per 1M). That combination — a quarter-million-token window with zero cost — is unusual; most large-context models in the lineup carry a per-token price.

Questions

How much does Qwen3 Next 80B A3B Instruct cost via API?: It's free: $0 per 1M input tokens and $0 per 1M output tokens from the provider. OpenKey applies its flat 3% fee to provider pricing, but 3% of $0 is still $0, so there's no cost to run this model through OpenKey.
What is Qwen3 Next 80B A3B Instruct's context window?: It supports 262,144 tokens of context, enough for very long documents, large codebases, or extended multi-turn conversations in one request. That places it above 56% of models in the OpenKey catalog by context length.
Is Qwen3 Next 80B A3B Instruct free to use?: Yes. Both prompt and completion tokens are priced at $0 per 1M by the provider, and OpenKey passes that through unchanged since its 3% fee has no effect on a $0 base price.
Does Qwen3 Next 80B A3B Instruct support tool calling and structured outputs?: Yes. It supports the `tools` and `tool_choice` parameters for function calling, plus `response_format` and `structured_outputs` for schema-constrained responses. It also accepts standard sampling controls like `temperature`, `top_p`, and `top_k`.
What is Qwen3 Next 80B A3B Instruct's knowledge cutoff?: Its knowledge cutoff is September 30, 2025. The model itself was released September 11, 2025, so its training data extends slightly past its release date.

More from Qwen

All Qwen models →

Qwen

Qwen3.7 Plus

Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...

ctx 1M in $0.330 out $1.32

Qwen

Qwen3.7 Max

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...

ctx 1M in $1.29 out $3.86

Qwen

Qwen3.5 Plus 2026-04-20

Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. This...

ctx 1M in $0.309 out $1.85

Qwen

Qwen3.6 27B

Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...

ctx 262K in $0.294 out $2.47