HomeMeituan LongCat Unveils Open-Source Theorem Prover Model LongCat-Flash-Prover
On March 24, 2026, the Meituan LongCat team officially open-sourced a specialized deep learning model for mathematical formalization and theorem proving: LongCat-Flash-Prover. This model overcomes the limitations of large language models in rigorous logical reasoning by breaking down formal reasoning into three core capabilities: auto-formalization, proof sketching, and final proving. It represents a paradigm shift from "probabilistic answer prediction" to "verifiable logical proof."
Using a combined Tool-Integrated Reasoning (TIR) strategy, the model achieved a 97.1% pass rate on the MiniF2F-Test benchmark with only 72 reasoning steps, setting a new state-of-the-art record for open-source theorem provers. Its performance also significantly exceeded existing open-source models on challenging competition-level benchmarks like MathOlympiad-Bench and PutnamBench.
Technically, LongCat-Flash-Prover employs a TIR-based "hybrid expert iteration" framework. By integrating Lean4Server verification, semantic and theorem consistency checks, and legality verification against nine types of cheating behaviors, the model effectively addresses logical loopholes and code deception. During training, the team introduced a hierarchical masking strategy and token-level staleness control, greatly improving reinforcement learning stability under the Mixture-of-Experts (MoE) architecture.
As AI reasoning evolves from handling natural language ambiguity to working with verifiable formal languages, such theorem provers are moving beyond simple algorithmic benchmarks. They are becoming foundational infrastructure for core scientific research. This breakthrough signals an accelerating era where AI deeply participates in frontier mathematical exploration and automated document verification.
GitHub:
https://github.com/meituan-longcat/LongCat-Flash-Prover
Hugging Face:https://huggingface.co/meituan-longcat/LongCat-Flash-Prover
Report:
https://github.com/meituan-longcat/LongCat-Flash-Prover/blob/main/LongCat_Flash_Prover_Technical_Report.pdf
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Comments (2)
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![EdwardJackson]()
Finally an open-source theorem prover! 😊 But does it actually outperform existing ones like Lean's auto? Curious about the benchmarks.
![JosephEvans]()
Meituan LongCat團隊這次開源的定理證明模型真的讓人驚艷！數學形式化一直是AI的硬骨頭，看到能突破大語言模型的限制，感覺學術圈又要熱鬧起來了。不過這種專業工具到底會先被學界廣泛使用，還是被大公司搶去優化內部系統呢？🤔
On March 24, 2026, the Meituan LongCat team officially open-sourced a specialized deep learning model for mathematical formalization and theorem proving: LongCat-Flash-Prover. This model overcomes the limitations of large language models in rigorous logical reasoning by breaking down formal reasoning into three core capabilities: auto-formalization, proof sketching, and final proving. It represents a paradigm shift from "probabilistic answer prediction" to "verifiable logical proof."
Using a combined Tool-Integrated Reasoning (TIR) strategy, the model achieved a 97.1% pass rate on the MiniF2F-Test benchmark with only 72 reasoning steps, setting a new state-of-the-art record for open-source theorem provers. Its performance also significantly exceeded existing open-source models on challenging competition-level benchmarks like MathOlympiad-Bench and PutnamBench.
Technically, LongCat-Flash-Prover employs a TIR-based "hybrid expert iteration" framework. By integrating Lean4Server verification, semantic and theorem consistency checks, and legality verification against nine types of cheating behaviors, the model effectively addresses logical loopholes and code deception. During training, the team introduced a hierarchical masking strategy and token-level staleness control, greatly improving reinforcement learning stability under the Mixture-of-Experts (MoE) architecture.
As AI reasoning evolves from handling natural language ambiguity to working with verifiable formal languages, such theorem provers are moving beyond simple algorithmic benchmarks. They are becoming foundational infrastructure for core scientific research. This breakthrough signals an accelerating era where AI deeply participates in frontier mathematical exploration and automated document verification.
GitHub:
https://github.com/meituan-longcat/LongCat-Flash-Prover
Hugging Face:https://huggingface.co/meituan-longcat/LongCat-Flash-Prover
Report:
https://github.com/meituan-longcat/LongCat-Flash-Prover/blob/main/LongCat_Flash_Prover_Technical_Report.pdf
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Finally an open-source theorem prover! 😊 But does it actually outperform existing ones like Lean's auto? Curious about the benchmarks.
Meituan LongCat團隊這次開源的定理證明模型真的讓人驚艷！數學形式化一直是AI的硬骨頭，看到能突破大語言模型的限制，感覺學術圈又要熱鬧起來了。不過這種專業工具到底會先被學界廣泛使用，還是被大公司搶去優化內部系統呢？🤔
