Discover Qwen3 Next 80B A3B Thinking by Qwen, released in September 2025. This model excels in handling complex, multi-step problems, such as math proofs and code debugging, with a focus on reasoning. It features a substantial context window of 262,144 tokens, supporting text-to-text interactions. Designed for stability in long reasoning chains, it efficiently scales during inference and is tuned to follow intricate instructions. Ideal for agent frameworks and retrieval-heavy tasks, it provides detailed, step-by-step solutions with structured thinking traces.
Use Cases
Here are a few ways teams apply Qwen: Qwen3 Next 80B A3B Thinking in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Solve complex math proofs
Debug and synthesize code
Plan with agentic frameworks
Conduct retrieval-heavy tasks
Generate step-by-step solutions
Key Features
A quick look at the capabilities that make this model useful in real projects.
Reasoning-first chat model
Structured 'thinking' traces
Handles multi-step problems
Supports long context windows
Efficient inference scaling
Follows complex instructions
Specs
Overview
Vendor
qwen
Model ID
qwen/qwen3-next-80b-a3b-thinking
Release
2025-09-11
Modalities & context
Input
text
Output
text
Context
262,144 tokens
Parameters & defaults
Supported parameters: frequency_penalty, include_reasoning, logit_bias, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p
Defaults: temperature 0.2, top_p 0.95
Benchmark tests: Qwen: Qwen3 Next 80B A3B Thinking
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Text
Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
AI promises to reshape work, leisure, and creativity not by replacing humans, but by amplifying our potential. In **work**, it automates repetitive tasks—data entry, scheduling—freeing us for strategic thinking, empathy-driven roles, and innovation. Teams collaborate with AI as a co-pilot, boosting productivity and reducing burnout. For **leisure**, AI personalizes experiences: hyper-tailored recommendations, immersive virtual worlds, and adaptive learning tools turn passive scrolling into active, enriching hobbies. In **creativity**, it democratizes expression—generating music, art, or writing prompts for beginners while helping professionals explore uncharted styles. Rather than stifling originality, AI becomes a catalyst, enabling humans to focus on meaning, emotion, and the uniquely human spark that defines true innovation. It’s about augmenting potential, not replacing it. (149 words)
Run this prompt on Upend.AI