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. 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 () and is designed for high-token outputs 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 as of July 2025.
import openai
import weave
# Weave autopatches OpenAI to log LLM calls to W&B
weave.init("/")
client = openai.OpenAI(# The custom base URL points to W&B Inference
base_url='https://api.inference.wandb.ai/v1',# Get your API key from https://wandb.ai/authorize# Consider setting it in the environment as OPENAI_API_KEY instead for safety
api_key="",# Team and project are required for usage tracking
project="/",)
response = client.chat.completions.create(
model="Qwen/Qwen3-235B-A22B-Thinking-2507",
messages=[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"Tell me a joke."}],)print(response.choices[0].message.content)
