Qwen: Qwen3 Max Thinking
Model Type
Proprietary Model
API access only
Recommended Use Cases
Try Qwen3 Max Thinking
Qwen3-Max-Thinking is Alibaba's flagship reasoning model, combining trillion-scale parameters with advanced test-time scaling and adaptive tool use to achieve performance comparable to GPT-5.2-Thinking, Claude Opus 4.5, and Gemini 3 Pro.
By scaling up model parameters and leveraging substantial computational resources for reinforcement learning, Qwen3-Max-Thinking achieves significant performance improvements across multiple dimensions.
- Qwen Team
Overview
Released January 2026, Qwen3-Max-Thinking builds on Qwen3-Max with extended reasoning capabilities. It autonomously selects and leverages built-in Search, Memory, and Code Interpreter tools during conversations, and employs an experience-cumulative test-time scaling strategy that outperforms standard parallel sampling approaches.
Key Features
- Adaptive tool use: Automatically invokes Search, Memory, and Code Interpreter without user intervention
- Test-time scaling: Experience-cumulative, multi-round reasoning with self-reflection
- 262K context: Long-context understanding for complex documents
- Claude Code compatible: Works seamlessly with Claude Code via Anthropic API protocol
- Reduced hallucinations: Search and Memory tools provide real-time information access
Capabilities
Adaptive Tools:
- Search: Real-time web information retrieval during reasoning
- Memory: Personalized responses based on conversation history
- Code Interpreter: Execute code for computational reasoning
Test-Time Scaling: The model uses an experience-cumulative strategy that distills key insights from past reasoning rounds, avoiding redundant re-derivation and focusing on unresolved uncertainties. This achieves higher context efficiency than naive parallel sampling.
Benchmark Performance
Qwen3-Max-Thinking demonstrates competitive performance across 19 benchmarks:
| Domain | Highlights |
|---|---|
| Knowledge | Strong C-Eval (93.7%), competitive MMLU-Pro |
| Reasoning | HMMT Feb 25 (98.0%), IMOAnswerBench (83.9%) |
| Agentic Search | HLE with tools (49.8%) - leads all models |
| Instruction Following | Arena-Hard v2 (90.2%) - leads all models |
| Tool Use | Competitive Tau² Bench, BFCL-V4 |
When to Use Qwen3-Max-Thinking
Choose Qwen3-Max-Thinking when you need:
- Complex multi-step reasoning with tool integration
- Problems requiring computational verification (math, code)
- Tasks benefiting from real-time web search during reasoning
- Research and analysis requiring deep thinking
- Mathematical competitions and STEM problem solving
- Agentic workflows with autonomous tool selection
Consider Qwen3-Max (non-thinking) when you need:
- Faster responses for simpler tasks
- Lower token consumption
- Direct answers without extended reasoning traces
- Production workloads with tight latency requirements
Consider other Qwen3 models when you need:
- Open weights for customization → Qwen3-235B-A22B
- Vision capabilities → Qwen3-VL
- Coding specialist → Qwen3-Coder
Availability
- Web: chat.qwen.ai (with adaptive tool-use)
- API: Alibaba Cloud Model Studio (
qwen3-max-2026-01-23) - Compatible: OpenAI API protocol, Anthropic API protocol (Claude Code)
Role in Series
Qwen3-Max variants:
- Qwen3-Max: Trillion-parameter flagship, fast responses
- Qwen3-Max-Thinking: Extended reasoning with adaptive tools (this model)