Qwen3 Next 80B Thinking unlocks deep chain-of-thought reasoning in a highly efficient MoE architecture — think frontier-quality mathematical and scientific reasoning at 3B-class inference cost.
Qwen3 Next 80B Thinking is an AI model released 2025 by Qwen, a leading organization in large language model research. Thinking-mode Qwen3 Next 80B — extended chain-of-thought reasoning for math, science, and complex analysis. With 80B total (3B active) and a 128K tokens context window, Qwen3 Next 80B Thinking is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.
Qwen3 Next 80B Thinking employs a Mixture-of-Experts (MoE) architecture with 80B total (3B active). In a MoE design, only a subset of "expert" sub-networks activates for each token during inference — Qwen3 Next 80B Thinking has 80B total (3B active) total parameters but uses only a fraction per token. This allows the model to store significantly more learned knowledge than a comparably-priced dense model. MoE architectures have proven effective at reaching frontier-level capability while keeping serving costs manageable — a key reason Qwen3 Next 80B Thinking can be offered at the scale that platforms like LITHOVEX AI make possible.
As of 2026-10-16, Qwen3 Next 80B Thinking by Qwen demonstrates measurable performance on standard AI evaluation benchmarks. On AIME 2025 — which tests advanced competition mathematics at the highest US high school level — it achieves 81.3%. In mathematical reasoning, Qwen3 Next 80B Thinking records 81.3% on AIME 2025. These scores place Qwen3 Next 80B Thinking — at 80B total (3B active) of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.
The primary strengths of Qwen3 Next 80B Thinking are: Extended reasoning mode at 80B knowledge / 3B cost; Chain-of-thought at remarkable cost efficiency; Apache 2.0. These make it particularly well-suited for Reasoning at low inference cost, Complex analysis where throughput matters. Users working on complex, multi-step problems benefit most from Qwen3 Next 80B Thinking's ability to maintain coherence across long inputs and produce structured, verifiable outputs.
Like all current AI systems, Qwen3 Next 80B Thinking has limitations: Extended thinking mode adds latency — not suitable for real-time applications; Next-generation architecture means fewer community integrations; MoE complexity makes custom deployment more involved. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. Qwen continues to improve Qwen3 Next 80B Thinking through ongoing research.
Qwen3 Next 80B Thinking is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making Qwen3 Next 80B Thinking accessible to students, researchers, developers, and early-stage teams globally.
As of 2026-10-16, Qwen3 Next 80B Thinking by Qwen demonstrates measurable performance on standard AI evaluation benchmarks. On AIME 2025 — which tests advanced competition mathematics at the highest US high school level — it achieves 81.3%. In mathematical reasoning, Qwen3 Next 80B Thinking records 81.3% on AIME 2025. These scores place Qwen3 Next 80B Thinking — at 80B total (3B active) of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.
MoE: 80B total / 3B active, thinking/reasoning mode enabled
The training pipeline for Qwen3 Next 80B Thinking involves multiple stages: large-scale pretraining on diverse multilingual text and code corpora to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety. Qwen's research team — based in China — has optimized Qwen3 Next 80B Thinking for the specific capability profile described above.
Inference efficiency: Qwen3 Next 80B Thinking at 80B total (3B active) is designed to deliver quality outputs at practical serving speeds. Its 128K tokens context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.
Getting started with Qwen3 Next 80B Thinking on LITHOVEX AI takes under two minutes. Follow these steps:
For best results with Qwen3 Next 80B Thinking: provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions. Since Qwen3 Next 80B Thinking supports extended reasoning, prompting it to "think step by step" or "show your reasoning" activates deeper chain-of-thought analysis for math, logic, and complex problems.
Olympiad-level mathematics with step-by-step reasoning
Scientific hypothesis generation and analysis
Complex legal and logical argumentation
Efficient reasoning for research institutions with limited compute
Advanced strategy analysis requiring deep deliberation
Qwen (Tongyi Qianwen) is the AI model family from Alibaba Cloud, the cloud computing arm of Alibaba Group — one of the world's largest technology companies with over $100 billion in annual revenue. Alibaba invested in AI research through its DAMO Academy starting in 2017. The Qwen3 generation, released in April 2025, represents a major leap in open-model capability: models from 8B to 235B parameters, with hybrid thinking modes and 119-language support, all released under Apache 2.0 licenses for commercial use. Qwen models consistently rank at the top of the Open LLM Leaderboard and have been widely adopted across Asia, Europe, and North America for both commercial and research applications.
Funding: Part of Alibaba Group (NYSE: BABA, $100B+ annual revenue)
Founded: 1999, headquartered in China.
Qwen3 Next 80B Thinking by Qwen competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.
Both Qwen3 Next 80B Thinking and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.
Qwen3 Next 80B Thinking is released under Apache 2.0, which means you can download and run it on your own hardware. Below are the quickest ways to get started.
LITHOVEX AI runs Qwen3 Next 80B Thinking on cloud infrastructure, so you can use it instantly in your browser without downloading anything, configuring drivers, or managing VRAM. Create a free account and start in under 60 seconds.
The Thinking variant of Qwen3 Next 80B combines Alibaba's efficiency research with extended reasoning, creating a model uniquely valuable for research teams globally who need frontier reasoning without frontier compute budgets.
Qwen3 Next 80B Thinking by Qwen has the following version history and notable updates:
For the complete changelog and latest release notes, visit the official Qwen model page.