Qwen3 Next 80B A3B Thinking
ActiveQwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic...
Overview
Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic...
History
Qwen3 Next 80B A3B Thinking became available via the Alibaba API on 2025-09-11.
Training & availability
Training data has a knowledge cutoff of 2025-09-30 — information about events after that date is unlikely to appear in the model's responses. Alibaba has not released the underlying model weights — access is via their hosted API only.
Capabilities
-
Context window: 131K tokens.
-
Input modalities: text.
Recommended for: cheap.
Limitations
- Text-only — cannot process images, audio, or video inputs.
Pricing
- Input: $0.0975 per 1M tokens
- Output: $0.7800 per 1M tokens
Use the cost calculator above to estimate monthly spend for your workload.
Quick start
Minimal example using the OpenRouter API. Copy, paste, replace the key.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="sk-or-...",
)
resp = client.chat.completions.create(
model="alibaba/qwen3-next-80b-a3b-thinking",
messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)Cost calculator
Estimate your monthly bill. Presets are typical workload sizes.
Popularity
Signals from open-source communities — not a quality measure, but useful for gauging adoption among developers.
Integrations & tooling support
- Tool calling
- Not supported
- Structured outputs
- Not supported
Price vs quality
Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.
- Quality percentile
- —
- Effective price
- $0.609/1M
- Pricing breakdown
- $0.0975/1M in
$0.78/1M out
Community ratings
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Comments
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