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New Open Source AI model beats DeepSeek's performance using just 14% of the data its Chinese competitor needed (decrypt.co)

submitted 1 week ago by [email protected] to c/[email protected]

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Here is the data at Hugging Face.

A team of international researchers from leading academic institutions and tech companies upended the AI reasoning landscape on Wednesday with a new model that matched—and occasionally surpassed—one of China's most sophisticated AI systems: DeepSeek.

OpenThinker-32B, developed by the Open Thoughts consortium, achieved a 90.6% accuracy score on the MATH500 benchmark, edging past DeepSeek's 89.4%.

The model also outperformed DeepSeek on general problem-solving tasks, scoring 61.6 on the GPQA-Diamond benchmark compared to DeepSeek's 57.6. On the LCBv2 benchmark, it hit a solid 68.9, showing strong performance across diverse testing scenarios.

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[–] [email protected] 3 points 1 week ago

This is referring to probably the Qwen 32B R1 Distill which is a fine tune by DeepSeek of Qwen 32B. This is not referring to R1 671B.