List your company

Code Generation on LiveCodeBench (Avg)

168Average ScoreExpertWeaver
-3.80840.79685.4130.004Nov 7, 2024Jan 23, 2025Apr 11, 2025Jun 28, 2025Sep 14, 2025Dec 1, 2025Feb 17, 2026

Evaluation results

MethodLinks
ExpertWeaverBase Model=DeepSeek-R1-Distill-Qwen-7B, Sparsity=12.5%2026.02168
DeepSeek-R1Model Category=Closed-source Models2026.0183.8
o1-miniModel Category=Closed-source Models2026.0175
Claude3.7-SonnetModel Category=Closed-source Models2026.0163.2
LLM-PrunerBase Model=DeepSeek-R1-Distill-Qwen-7B, Sparsity=12.5%2026.0261
GenRM-R-Align-8BReward Model=GenRM-R-Align-8B2026.0251.5
LoGos(32B)Model Category=Open-source Models (32B), Parameter Count=32B2026.0150.9
Qwen3-8BReward Model=Baseline2026.0250.8
Qwen3-14B-as-GenRMReward Model=Qwen3-14B-as-GenRM2026.0250.5
GenRM-RLVR-14BReward Model=GenRM-RLVR-14B2026.0250.1
GenRM-R-Align-14BReward Model=GenRM-R-Align-14B2026.0249.4
Qwen3-8B-as-GenRMReward Model=Qwen3-8B-as-GenRM2026.0248.8
GenRM-RLVR-8BReward Model=GenRM-RLVR-8B2026.0247.4
Qwen2.5-Coder-7B-InstructSize=7B2024.1137.6
DeepSeek-R1-Distill-Qwen-32BModel Category=Open-source Models (32B), Parameter Count=32B, Model Variant=Distill2026.0136.5
IOAModel=Qwen2.5-14B, Teacher Model=OpenAI o12026.0230.63
Qwen2.5-32B-InstructModel Category=Open-source Models (32B), Parameter Count=32B, Model Variant=Instruct2026.0129.9
IOAModel=Qwen2.5-7B, Teacher Model=OpenAI o12026.0229.54
MADAModel=Qwen2.5-14B, Teacher Model=OpenAI o12026.0226.76
Star-AgentsModel=Qwen2.5-14B, Teacher Model=OpenAI o12026.0226.23
IOAModel=LLaMA3.1-8B, Teacher Model=OpenAI o12026.0226.08
MADAModel=Qwen2.5-7B, Teacher Model=OpenAI o12026.0225.66
CasCoDModel=Qwen2.5-14B, Teacher Model=OpenAI o12026.0225.34
Star-AgentsModel=Qwen2.5-7B, Teacher Model=OpenAI o12026.0225.13
CounterDistillModel=Qwen2.5-14B, Teacher Model=OpenAI o12026.0224.99
DSSModel=Qwen2.5-14B, Teacher Model=OpenAI o12026.0224.55
DS-Coder-V2-Lite-InstructSize=16B2024.1124.3
CasCoDModel=Qwen2.5-7B, Teacher Model=OpenAI o12026.0224.24
CounterDistillModel=Qwen2.5-7B, Teacher Model=OpenAI o12026.0223.89
DSSModel=Qwen2.5-7B, Teacher Model=OpenAI o12026.0223.45
LionModel=Qwen2.5-14B, Teacher Model=OpenAI o12026.0223.44
Yi-Coder-9B-ChatSize=9B2024.1123.4
LoGos(7B)Model Category=Open-source Models (7B), Parameter Count=7B2026.0123.4
OpenCoder-8B-InstructSize=8B2024.1123.2
MADAModel=LLaMA3.1-8B, Teacher Model=OpenAI o12026.0223.02
FLAPBase Model=DeepSeek-R1-Distill-Qwen-7B, Sparsity=12.5%2026.0223
Star-AgentsModel=LLaMA3.1-8B, Teacher Model=OpenAI o12026.0222.61
LionModel=Qwen2.5-7B, Teacher Model=OpenAI o12026.0222.34
CasCoDModel=LLaMA3.1-8B, Teacher Model=OpenAI o12026.0221.94
CounterDistillModel=LLaMA3.1-8B, Teacher Model=OpenAI o12026.0221.63
DSSModel=LLaMA3.1-8B, Teacher Model=OpenAI o12026.0221.26
GeniusTraining Corpus=OpenHermes2025.0421.25
LaMiniModel=Qwen2.5-14B, Teacher Model=OpenAI o12026.0221.12
Self-InstructModel=Qwen2.5-14B, Teacher Model=OpenAI o12026.0220.54
DS-Coder-6.7B-InstructSize=6.7B2024.1120.5
StarCoder2-15B-Instruct-v0.1Size=15B2024.1120.4
DeepSeek-R1-Distill-Qwen-7BModel Category=Open-source Models (7B), Parameter Count=7B, Model Variant=Distill2026.0120.4
LionModel=LLaMA3.1-8B, Teacher Model=OpenAI o12026.0220.16
CodeQwen1.5-7B-ChatSize=7B2024.1120.1
LaMiniModel=Qwen2.5-7B, Teacher Model=OpenAI o12026.0220.02
GeniusTraining Corpus=Magpie2025.0419.75
LLaMA3.1-8B-Instruct2025.0419.5
Self-InstructModel=Qwen2.5-7B, Teacher Model=OpenAI o12026.0219.44
UndistilledModel=Qwen2.5-14B, Teacher Model=OpenAI o12026.0218.42
LaMiniModel=LLaMA3.1-8B, Teacher Model=OpenAI o12026.0217.92
UndistilledModel=Qwen2.5-7B, Teacher Model=OpenAI o12026.0217.32
Self-InstructModel=LLaMA3.1-8B, Teacher Model=OpenAI o12026.0217.25
Qwen2.5-7B-InstructModel Category=Open-source Models (7B), Parameter Count=7B, Model Variant=Instruct2026.0116.2
Qwen2.5-Coder-1.5B-InstructSize=1.5B2024.1115.7
UndistilledModel=LLaMA3.1-8B, Teacher Model=OpenAI o12026.0215.24
CodeGemma-7B-ItSize=7B2024.1114.7
Qwen2.5-32B-BaseModel Category=Open-source Models (32B), Parameter Count=32B, Model Variant=Base2026.0113.8
OpenCoder-1.5B-InstructSize=1.5B2024.1112.8
Yi-Coder-1.5B-ChatSize=1.5B2024.1111.6
DS-coder-1.3B-InstructSize=1.3B2024.119.3
Qwen2.5-7B-BaseModel Category=Open-source Models (7B), Parameter Count=7B, Model Variant=Base2026.019
CrystalChat-7BSize=7B2024.116.1
CodeLlama-7B-InstructSize=7B2024.112.8