DeepSeek-V3 Technical Report

Benchmark Model Rank Results
question-answering-on-drop-3-shotDeepSeek-V3#2F1: 91.6
code-generation-on-aider-polyglotDeepSeek-V3#5Accuracy: 49.6
instruction-following-on-ifevalDeepSeek-V3#5Prompt-level strict-accuracy: 86.1
question-answering-on-c-simpleqaDeepSeek-V3#5Accuracy: 64.8
question-answering-on-simpleqaDeepSeek-V3#5Accuracy: 24.9
question-answering-on-framesDeepSeek-V3#6Accuracy: 73.3
long-context-understanding-on-longbench-v2DeepSeek-V3#14Accuracy: 48.7
multi-task-language-understanding-on-c-evalDeepSeek-V3#18Accuracy: 86.5
multi-task-language-understanding-on-mmlu-reduxDeepSeek-V3#19Accuracy: 89.1
code-generation-on-humanevalDeepSeek V3#38Pass@1: 87.2
multi-task-language-understanding-on-mmlu-proDeepSeek-V3#54Accuracy: 75.9
mathematical-reasoning-on-math-500DeepSeek-V3#59Accuracy: 90.2
code-generation-on-swe-bench-verifiedDeepSeek-V3 (Agentless)#78Accuracy: 42.0
mathematical-reasoning-on-aime24DeepSeek-V3#95Acc: 39.2
multiple-choice-question-answering-mcqa-on-gpqa-diamondDeepSeek-V3#96Accuracy: 59.1