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Model details

Qwen Math Turbo

Qwen Math Turbo serves as the speed-optimized variant within the Qwen-Math series, engineered specifically to deliver rapid mathematical reasoning and precise symbolic computation. By prioritizing lower latency, the model is designed to handle complex quantitative tasks with greater efficiency than its counterparts. Its architecture is intentionally built to support real-time interactions, making it a reliable choice for environments where immediate, accurate feedback is essential for solving intricate problems.

The model benefits from a specialized distillation process derived from larger mathematical frameworks, allowing it to maintain competitive performance on standard benchmarks like GSM8K and MATH. A key advancement in its 2026 iteration is the integration of Tool-Integrated Reasoning, which enables the model to invoke a Python interpreter for instant algebraic and statistical operations. This capability makes it particularly well-suited for cost-sensitive scaling in sectors such as educational technology and large-scale automated grading, where high throughput and consistent performance are required.

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Quick Info

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Provider
Alibaba (China)
Model key
qwen-math-turbo
Release date
Sep 19, 2024
Last updated
Sep 19, 2024
Knowledge cutoff
2024-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.287
Output token cost
$0.861

Limits

Output tokens
3,072 tokens
Context window
4,096 tokens

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