AIModelsTester
Qwentext->text

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.

Context Window

262K

Input Price

$0.1100/M tokens

Output Price

$0.6000/M tokens

Modality

text->text

Pricing Breakdown
Cost per million tokens for input and output
Input$0.1100/M tokens
Output$0.6000/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.001700

Context Window Size
Maximum tokens the model can process in a single request
Context Window262K tokens
26% of 1M max

~197K

Words Equivalent

~131

Pages of Text

~2621

Code Functions

Best Use Cases
What this model excels at
MathReasoningAnalysis

Related Categories:

Ready to Test Qwen: Qwen3 235B A22B Thinking 2507?

Use our free AI Models Tester to compare Qwen: Qwen3 235B A22B Thinking 2507 with other models side-by-side using your own prompts. See real results instantly.