LangMart: Qwen: Qwen3 Next 80B A3B Thinking
Model Overview
| Property | Value |
|---|---|
| Model ID | openrouter/qwen/qwen3-next-80b-a3b-thinking |
| Name | Qwen: Qwen3 Next 80B A3B Thinking |
| Provider | qwen |
| Released | 2025-09-11 |
Description
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 planning, and reports strong results across knowledge, reasoning, coding, alignment, and multilingual evaluations. Compared with prior Qwen3 variants, it emphasizes stability under long chains of thought and efficient scaling during inference, and it is tuned to follow complex instructions while reducing repetitive or off-task behavior.
The model is suitable for agent frameworks and tool use (function calling), retrieval-heavy workflows, and standardized benchmarking where step-by-step solutions are required. It supports long, detailed completions and leverages throughput-oriented techniques (e.g., multi-token prediction) for faster generation. Note that it operates in thinking-only mode.
Description
LangMart: Qwen: Qwen3 Next 80B A3B Thinking is a language model provided by qwen. This model offers advanced capabilities for natural language processing tasks.
Provider
qwen
Specifications
| Spec | Value |
|---|---|
| Context Window | 131,072 tokens |
| Modalities | text->text |
| Input Modalities | text |
| Output Modalities | text |
Pricing
| Type | Price |
|---|---|
| Input | $0.12 per 1M tokens |
| Output | $1.20 per 1M tokens |
Capabilities
- Frequency penalty
- Include reasoning
- Logit bias
- Logprobs
- Max tokens
- Min p
- Presence penalty
- Reasoning
- Repetition penalty
- Response format
- Seed
- Stop
- Structured outputs
- Temperature
- Tool choice
- Tools
- Top k
- Top logprobs
- Top p
Detailed Analysis
Qwen3-Next-80B-A3B-Thinking is the reasoning-enabled variant of the next-generation Qwen3-Next model, combining revolutionary efficiency with explicit reasoning. Released September 2025. Key characteristics: (1) Architecture: 80B total/3.9B active parameters with Hybrid Attention (Gated DeltaNet + Gated Attention), High-Sparsity MoE, and Multi-Token Prediction; thinking-only mode generates reasoning blocks for all outputs; (2) Performance: Surpasses Qwen3-30B-A3B-Thinking-2507 and Qwen3-32B-Thinking on complex reasoning benchmarks; outperforms proprietary Gemini-2.5-Flash-Thinking across multiple benchmarks; excels at tool calling and highly complex reasoning tasks; (3) Context Window: 262,144 tokens supporting ultra-long reasoning chains and comprehensive document analysis; (4) Language Support: 119 languages with reasoning capability across multilingual contexts; (5) Use Cases: Complex multi-step reasoning requiring transparency, sophisticated tool orchestration, explainable AI for complex tasks, research requiring reasoning transparency with extreme efficiency, applications needing both massive context and reasoning visibility; (6) Trade-offs: Thinking-only mode means all outputs include reasoning steps; represents cutting-edge hybrid architecture demonstrating future of efficient reasoning AI. Best for applications requiring both extreme efficiency (3.9B activated from 80B total) and reasoning transparency, especially with ultra-long contexts - the frontier of efficient explainable AI.