Qwen
Qwen: Qwen3 235B A22B Thinking 2507
qwen/qwen3-235b-a22b-thinking-2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144 tokens of context. This "thinking-only" variant enhances structured logical reasoning, mathematics, science, and long-form generation, showing strong benchmark performance across AIME, SuperGPQA, LiveCodeBench, and MMLU-Redux. It enforces a special reasoning mode (</think>) and is designed for high-token outputs (up to 81,920 tokens) in challenging domains. The model is instruction-tuned and excels at step-by-step reasoning, tool use, agentic workflows, and multilingual tasks. This release represents the most capable open-source variant in the Qwen3-235B series, surpassing many closed models in structured reasoning use cases.
/ 1M tokens
/ 1M tokens
tokens
Limits
Context
128,000
tokens
Max output
16,384
13% of the context window
Parameters
235,093,634,560
Model facts
Author
Qwen
Tokenizer
Qwen3
Modality
Text -> Text
Instruction format
Qwen3
License
Apache-2.0
Knowledge cutoff
2025-06-30
Created
Jul 25, 2025
Hugging Face
Qwen/Qwen3-235B-A22B-Thinking-2507
Reasoning
Publication status
Modalities
Generation controls
Capability scores
Better than 14% of models compared
Better than 18% of models compared
Better than 31% of models compared
Creative tasks
Category performance
1054 Elo
42.0% win
1034 Elo
40.8% win
998 Elo
40.4% win
960 Elo
34.2% win
944 Elo
34.0% win
950 Elo
32.6% win