Qwen3 235B A22B Thinking 2507 is Alibaba's 235B MoE model configured for extended chain-of-thought reasoning, combining 235 billion total parameters with always-on deliberative reasoning for demanding inference tasks.
import { streamText } from 'ai'
const result = streamText({ model: 'alibaba/qwen3-235b-a22b-thinking', prompt: 'Why is the sky blue?'})Qwen3 235B A22B Thinking 2507 is the Qwen3-235B-A22B configured with thinking mode as the default. The base model can switch between extended reasoning and direct response per request. This variant targets applications that need deliberate, chain-of-thought processing on every query.
The underlying architecture is the same 235B MoE: 235 billion total parameters with 22 billion activated per inference step. That MoE structure makes thinking mode tractable at this scale. Because only 22 billion parameters activate per token, Qwen3 235B A22B Thinking 2507 sustains long reasoning traces without the serving costs of a fully dense 235B model generating the same sequence length.
The chain-of-thought behavior was explicitly trained and optimized, not simply prompted. Alibaba's research indicates that the model demonstrates "scalable and smooth performance improvements that are directly correlated with the computational reasoning budget allocated." Thinking longer genuinely helps on hard problems in a measurable way.
For the hardest categories of tasks (competitive mathematics, multi-hop logical reasoning, complex code debugging, and structured scientific analysis), this thinking-configured variant makes fuller use of the 235B parameter capacity. Benchmark results for the underlying model are competitive with other strong reasoning models on reasoning-heavy evaluations.