GPT-4 vs Claude-3 Code Generation

Completed

2024-01-01 - 2024-02-15

4521
Total Users
45210
Total Interactions
2
Variants
response_quality_score
Primary Metric
A/B Test Results
Metric Control Treatment Lift CI (95%) P-value Significant Effect Size
response_quality_score 7.82 8.15 +4.22% [0.21, 0.45] 0.0023 Yes 0.24
converted 0.72 0.75 +4.17% [0.01, 0.05] 0.0156 Yes 0.07
latency_ms 1245.0 1420.0 +14.06% [120.0, 230.0] 0.0001 Yes 0.31
Conversion Rate Over Time
Metric Comparison
Data Quality Checks
  • Temporal Leakage Passed
  • Duplicate Records Passed
  • Cross-Group Contamination Passed
  • Sample Ratio Mismatch Passed
Recommendations
  • Treatment (Claude-3) significantly outperforms control (GPT-4) for code generation
  • Effect is strongest for enterprise users (+7.3% lift)
  • Consider segment-specific rollout strategy
  • Monitor latency impact on user experience
Subgroup Analysis
User_Tier
Segment Control Rate Treatment Rate Lift Sample Size Significant
free 0.68 0.7 +2.94% 2800 No
pro 0.75 0.8 +6.67% 1400 Yes
enterprise 0.82 0.88 +7.32% 321 Yes
Use_Case
Segment Control Rate Treatment Rate Lift Sample Size Significant
code_generation 0.78 0.84 +7.69% 1500 Yes
text_summarization 0.7 0.72 +2.86% 1200 No
qa 0.68 0.71 +4.41% 1100 No
creative_writing 0.72 0.75 +4.17% 721 No