Alibaba: Qwen3-Next 80B-A3B (Thinking)
Efficient Qwen thinking model for local reasoning, math, and coding agents
- Model lab
- Alibaba
- Model family
- qwen
Model resources
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/alibaba-cloud/qwen3-next-80b-a3b-thinking.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/alibaba-cloud/qwen3-next-80b-a3b-thinking"
response = requests.post(
f"{base_url}/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
json={
"model": model_id,
"messages": [{"role": "user", "content": "Hello!"}],
"stream": False,
},
timeout=60,
)
response.raise_for_status()
print(response.json())Use the familiar OpenAI-style chat request format to make model integration easier.
Qwen3-Next 80B-A3B (Thinking) API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.12 / 1M tokens |
| Output | USD 0.52 / 1M tokens |
| Cached input | USD 0.06 / 1M tokens |
Performance
Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.
Performance trends
Availability
Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.
Qwen3-Next 80B-A3B (Thinking) Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Qwen3-Next 80B-A3B (Thinking)This page | USD 0.12 / 1M tokens | USD 0.52 / 1M tokens | 131,072 | Text output · Reasoning · Tool calling |
| Qwen3.8 2.4T A95B | USD 1.56 / 1M tokens | USD 4.56 / 1M tokens | 262,144 | Text output · Reasoning · Tool calling |
| Qwen3.7 Max | USD 0.66 / 1M tokens | USD 1.9804 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| Qwen3.6 Max Preview | USD 1.72 / 1M tokens | USD 10.288 / 1M tokens | 262,144 | Text output · Reasoning · Tool calling |
| Qwen3 Coder Next | USD 0.0864 / 1M tokens | USD 0.54 / 1M tokens | 262,144 | Text output · Tool calling |
Model specifications
- Input
- text
- Output
- text
- Context window
- 131,072
- Maximum output
- 32,768
- Release date
- 2025-09
- Attachments
- No
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature setting
- Yes
- Open weights
- Yes
Frequently asked questions
What is Qwen3-Next 80B-A3B (Thinking) for?
Efficient Qwen thinking model for local reasoning, math, and coding agents
What inputs and outputs does Qwen3-Next 80B-A3B (Thinking) support?
Recorded inputs: text; outputs: text.
How is Qwen3-Next 80B-A3B (Thinking) priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.12 / 1M tokens; Output USD 0.52 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Qwen3-Next 80B-A3B (Thinking)?
Current model records list Context window 131,072 tokens; Maximum output 32,768 tokens.
What model parameter does the Quickstart use?
The example uses moduck/alibaba-cloud/qwen3-next-80b-a3b-thinking. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.
Can I call this model through the Moduck API now?
This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.