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AI Code Review
Methodology

Greptile vs Anthropic

GRGreptilevsAnthropicANAnthropic
GreptileAnthropic
50%
50%
Insufficient data
This matchup has 2 decisive cases (minimum 30 required for publication).

Statistics

MetricValue
Greptile wins1
Anthropic wins1
Abstains (no tool)3
Other tool chosen274
Decisive cases2
Greptile win rate (unweighted)50.0%
95% CI9.5% - 90.5%
Greptile win rate (weighted)50.0%

Comments

Greptile

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Anthropic

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Per-model breakdown

ModelTierGreptileAnthropicNoneOtherA rate
MiniMax M3Frontier10017100%
Claude Haiku 4.5Small01130%
Claude Opus 4.8Frontier00018n/a
Claude Sonnet 4.6Frontier00018n/a
DeepSeek R1 0528Frontier00114n/a
DeepSeek V4 FlashMid00017n/a
DeepSeek V4 ProFrontier00018n/a
Gemini 2.5 ProFrontier00018n/a
Gemini 3.5 FlashSmall00018n/a
GLM 5.2Frontier00018n/a
GPT 5.3 CodexFrontier00018n/a
GPT 5.4 MiniMid00017n/a
GPT 5.5Frontier00018n/a
Kimi K2.7 CodeFrontier00015n/a
Llama 4 MaverickFrontier00016n/a
Llama 4 ScoutSmall0002n/a
MiMo V2.5 ProFrontier00017n/a
Mistral Small 4Mid0007n/a
Qwen3 Coder NextMid0015n/a

Per-prompt breakdown

PromptTierGreptileAnthropicNoneOtherA rate
ai-engineering-workflowIntermediate10290100%
ai-engineering-workflowBeginner0111020%
ai-engineering-workflowAdvanced00082n/a