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Automated Theorem Proving on MiniF2F (test)

99.6Success RateSeed-Prover
6.249630.484854.7278.9552May 22, 2022Jan 24, 2023Sep 29, 2023Jun 3, 2024Feb 6, 2025Oct 12, 2025Jun 17, 2026

Evaluation results

MethodLinks
Seed-ProverMethod=Whole-proof, Model Size=unknown, Sample Budget=unknown2025.0699.6———
Delta-Prover (w/ Gemini 2.5 Pro)Method=Agent, Model Size=unknown, Sample Budget=163842025.0695.9———
Goedel-Prover-V2Method=Whole-proof, Model Size=32B, Sample Budget=81922025.0692.2———
Goedel-Prover-V2Method=Whole-proof, Model Size=32B, Sample Budget=10242025.0691.8———
DeepSeek-Prover-V2Method=Whole-proof, Model Size=671B, Sample Budget=81922025.0688.9———
Goedel-Prover-V2Method=Whole-proof, Model Size=32B, Sample Budget=322025.0688.1———
Prover Agent w/ Ensemble of Goedel-Prover-V2 and DeepSeek-Prover-V2Method=Agent (Final proof synthesis w/ lemma), Model Size=8B, Sample Budget=2602025.0688.1———
Prover Agent w/ Ensemble of Goedel-Prover-V2 and DeepSeek-Prover-V2Method=Agent (Direct proving w/ iterative refinement), Model Size=8B, Sample Budget=1002025.0686.9———
DeepSeek-Prover-V2Method=Whole-proof, Model Size=671B, Sample Budget=10242025.0686.6———
Prover Agent w/ Goedel-Prover-V2Method=Agent (Final proof synthesis w/ lemma), Model Size=8B, Sample Budget=2602025.0686.5———
Goedel-Prover-V2 (Small)Method=Whole-proof, Model Size=8B, Sample Budget=5122025.0685.7———
Prover Agent w/ Goedel-Prover-V2Method=Agent (Direct proving w/ iterative refinement), Model Size=8B, Sample Budget=1002025.0685.7———
Prover Agent w/ Ensemble of Goedel-Prover-V2 and DeepSeek-Prover-V2Method=Agent (Direct proving w/o iterative refinement), Model Size=8B, Sample Budget=502025.0685.7———
Goedel-Prover-V2 (Small)Method=Whole-proof, Model Size=8B, Sample Budget=2562025.0685.2———
Prover Agent w/ Goedel-Prover-V2Method=Agent (Direct proving w/o iterative refinement), Model Size=8B, Sample Budget=502025.0684.4———
Goedel-Prover-V2 (Small)Method=Whole-proof, Model Size=8B, Sample Budget=642025.0683.3———
Prover Agent w/ DeepSeek-Prover-V2Method=Agent (Final proof synthesis w/ lemma), Model Size=8B, Sample Budget=2602025.0682.8———
DeepSeek-Prover-V2 (Small)Method=Whole-proof, Model Size=7B, Sample Budget=81922025.0682———
Prover Agent w/ DeepSeek-Prover-V2Method=Agent (Direct proving w/ iterative refinement), Model Size=8B, Sample Budget=1002025.0682———
DSP+ (w/ DeepSeek-R1, DeepSeek-V3, and BFS-Prover)Method=Informal + Tree search, Model Size=671B, Sample Budget=10242025.0680.7———
Kimina-Prover-PreviewMethod=Whole-proof, Model Size=72B, Sample Budget=81922025.0680.7———
DeepSeek-Prover-V2 (Small)Method=Whole-proof, Model Size=7B, Sample Budget=10242025.0679.9———
Prover Agent w/ DeepSeek-Prover-V2Method=Agent (Direct proving w/o iterative refinement), Model Size=8B, Sample Budget=502025.0679.9———
DSP+ (w/ QwQ, DeepSeek-V3, and BFS-Prover)Method=Informal + Tree search, Model Size=671B, Sample Budget=10242025.0679.5———
Leanabell-Prover-V2-DSMethod=Whole-proof, Model Size=7B, Sample Budget=1282025.0678.2———
Kimina-Prover-PreviewMethod=Whole-proof, Model Size=72B, Sample Budget=10242025.0677.9———
Leanabell-Prover-V2-DSMethod=Whole-proof, Model Size=7B, Sample Budget=322025.0676.6———
DeepSeek-Prover-V2 (Small)Method=Whole-proof, Model Size=7B, Sample Budget=322025.0675.6———
DSP+ (w/ QwQ, DeepSeek-V3, and BFS-Prover)Method=Informal + Tree search, Model Size=671B, Sample Budget=1282025.0674.2———
BFS-ProverCritic=No, Search=BFS, Tactic Budget=accumulative2025.0272.95———
BFS-ProverMethod=Tree search, Model Size=7B, Sample Budget=2048 × 2 × 6002025.0670.8———
Kimina-Prover-Preview-DistillMethod=Whole-proof, Model Size=7B, Sample Budget=10242025.0670.8———
DeepSeek-Prover-V2Size=7B, Training / Inference Setting=AR SFT + RLVR + Long CoT2026.0670.49———
Leanabell-Prover-V2-KMMethod=Whole-proof, Model Size=7B, Sample Budget=1282025.0670.4———
HunyuanProverCritic=Yes, Search=BFS, Tactic Budget=600 × 8 × 4002025.0268.4———
HunyuanProver v16 + BFS + DCMethod=Tree search, Model Size=7B, Sample Budget=600 × 8 × 4002025.0668.4———
Leanabell-Prover-V2-KMMethod=Whole-proof, Model Size=7B, Sample Budget=322025.0668.4———
STPMethod=Whole-proof, Model Size=7B, Sample Budget=256002025.0667.6———
ProofAug + Mix. + Dataset CurationModel=deepseek-math-7b-base, Sample Budget=2100†, Proof Assistant=Isabelle, Evaluation Strategy=mixed strategy, Additional Config=Dataset Curation2025.0166———
InternLM2.5-StepProverCritic=Yes, Search=BFS, Tactic Budget=256 × 32 × 6002025.0265.9———
BFS + CGModel=InternLM2.5-StepProver (7B), Sample Budget=256 x 32 x 600, Proof Assistant=Lean2025.0165.9———
InternLM2.5-StepProver-BF + CGMethod=Tree search, Model Size=7B, Sample Budget=256 × 32 × 6002025.0665.9———
Goedel-Prover-SFTMethod=Whole-proof, Model Size=7B, Sample Budget=256002025.0664.7———
Prover Agent w/ Goedel-Prover-V2Method=Agent (Direct proving w/o iterative refinement), Model Size=8B, Sample Budget=12025.0664.3———
Prover Agent w/ Ensemble of Goedel-Prover-V2 and DeepSeek-Prover-V2Method=Agent (Direct proving w/o iterative refinement), Model Size=8B, Sample Budget=12025.0664.3———
DeepSeek-Prover-V1.5Critic=No, Search=MCTS, Tactic Budget=32 × 16 × 4002025.0263.5———
RMaxTSModel=DeepSeek-Prover-V1.5-RL (7B), Sample Budget=32 x 6400†, Proof Assistant=Lean, Evaluation Strategy=mixed strategy2025.0163.5———
DeepSeek-Prover-V1.5-RL + RMaxTSMethod=Tree search, Model Size=7B, Sample Budget=32 × 16 × 4002025.0663.5———
Kimina-Prover-Preview-DistillMethod=Whole-proof, Model Size=7B, Sample Budget=322025.0663.1———
ProofAug + Mixed StrategyModel=deepseek-math-7b-base, Sample Budget=1400†, Proof Assistant=Isabelle, Evaluation Strategy=mixed strategy2025.0161.9———
DeepSeek-Prover-V2Method=Whole-proof, Model Size=671B, Sample Budget=12025.0661.9———
Prover Agent w/ DeepSeek-Prover-V2Method=Agent (Direct proving w/o iterative refinement), Model Size=8B, Sample Budget=12025.0661.5———
Leanabell-Prover-GD-RLMethod=Whole-proof, Model Size=7B, Sample Budget=1282025.0661.1———
Goedel-Prover-V2 (Small)Method=Whole-proof, Model Size=8B, Sample Budget=12025.0660.8———
DeepSeek-Prover-V2 (Small)Method=Whole-proof, Model Size=7B, Sample Budget=12025.0658.6———
Kimina-Prover-PreviewSize=1.5B, Training / Inference Setting=AR SFT + RLVR + Long CoT2026.0656.2———
Subgoal-XLModel=Fine-tuned Llama-8B, Sample Budget=16384†, Proof Assistant=Isabelle, Evaluation Strategy=mixed strategy2025.0156.1———
ProofAug (0-shot) + ERPModel=deepseek-math-7b-base, Sample Budget=500, Proof Assistant=Isabelle, Prompting Strategy=0-shot, Module=ERP2025.0156.1———
ProofAug (0-shot)Model=deepseek-math-7b-base, Sample Budget=500, Proof Assistant=Isabelle, Prompting Strategy=0-shot2025.0154.5———
Kimina-Prover-PreviewMethod=Whole-proof, Model Size=72B, Sample Budget=12025.0652.9———
ProofAugModel=deepseek-math-7b-base, Sample Budget=100, Proof Assistant=Isabelle2025.0152.5———
DSP+ (w/ QwQ, DeepSeek-V3, and BFS-Prover)Method=Informal + Tree search, Model Size=671B, Sample Budget=12025.0652.5———
Kimina-Prover-Preview-DistillMethod=Whole-proof, Model Size=7B, Sample Budget=12025.0652.5———
LyraModel=GPT-4, Sample Budget=200, Proof Assistant=Isabelle2025.0151.2———
LEGO-ProverModel=mixed GPTs, Sample Budget=100, Proof Assistant=Isabelle2025.0150———
DeepSeek-Prover-V1.5Size=7B, Training / Inference Setting=AR SFT + RL2026.0650———
Diffusion-ProofSize=7B, Training / Inference Setting=dLLM SFT2026.0650———
DSP baselineModel=deepseek-math-7b-base, Sample Budget=100, Proof Assistant=Isabelle2025.0149.2———
LyraModel=GPT-4, Sample Budget=100, Proof Assistant=Isabelle2025.0147.1———
Lean-STaRSize=7B, Training / Inference Setting=AR SFT / expert iteration2026.0646.3———
DeepSeek-Prover-V1Size=7B, Training / Inference Setting=AR SFT2026.0646.3———
ProofAugModel=deepseek-math-7b-base, Sample Budget=10, Proof Assistant=Isabelle2025.0144.7———
POETRYModel=Fine-tuned ProofGPT (1.3B), Sample Budget=1 x 32 x 128, Proof Assistant=Isabelle2025.0142.2———
HTPSModel=Evariste (600M), Sample Budget=64 x 5000, Proof Assistant=Lean2025.0141———
DSP baselineModel=deepseek-math-7b-base, Sample Budget=10, Proof Assistant=Isabelle2025.0140.6———
DSPModel=CodeX, Sample Budget=100, Proof Assistant=Isabelle2025.0139.3———
Subgoal-XLModel=Fine-tuned Llama-8B, Sample Budget=64, Proof Assistant=Isabelle2025.0139.3———
ProofAugModel=deepseek-math-7b-base, Sample Budget=1, Proof Assistant=Isabelle2025.0136.5———
TheoremLlamaSize=8B, Training / Inference Setting=AR SFT2026.0635.7———
Thorsampling temperature=1.22022.0529.9———
Expert iteration2022.0529.6———
DSP baselineModel=deepseek-math-7b-base, Sample Budget=1, Proof Assistant=Isabelle2025.0128.7———
Hierarchical AttentionK=64, Search strategy=single-pass sampling (SPS)2025.0427.871.850.9323.21
Language model ∪ Sledgehammer2022.0527.5———
Hierarchical AttentionK=32, Search strategy=single-pass sampling (SPS)2025.0426.641.780.9715.38
Hierarchical AttentionK=16, Search strategy=single-pass sampling (SPS)2025.0426.231.921.0426
Hierarchical AttentionK=8, Search strategy=single-pass sampling (SPS)2025.04251.860.9551.16
PACT2022.0524.6———
Language model2022.0524.2———
Hierarchical AttentionK=4, Search strategy=single-pass sampling (SPS)2025.0424.18———
BaselineK=32, Search strategy=single-pass sampling (SPS)2025.0423.361.83——
BaselineK=64, Search strategy=single-pass sampling (SPS)2025.0423.362——
Hierarchical AttentionK=2, Search strategy=single-pass sampling (SPS)2025.0420.9———
BaselineK=16, Search strategy=single-pass sampling (SPS)2025.0420.491.85——
BaselineK=8, Search strategy=single-pass sampling (SPS)2025.0419.631.95——
Hierarchical AttentionK=1, Search strategy=single-pass sampling (SPS)2025.0418.44———
BaselineK=4, Search strategy=single-pass sampling (SPS)2025.0416.8———
BaselineK=2, Search strategy=single-pass sampling (SPS)2025.0412.3———
Sledgehammer2022.0510.4———
BaselineK=1, Search strategy=single-pass sampling (SPS)2025.049.84———