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LLM Evals
Methodology

DeepEval vs Weights & Biases

DeepEvalDEDeepEvalvsWEWeights & Biases
DeepEvalWeights & Biases
49%
51%

Leading: Weights & Biases (51.1%)

Statistics

MetricValue
DeepEval wins92
Weights & Biases wins96
Abstains (no tool)90
Other tool chosen2166
Decisive cases188
DeepEval win rate (unweighted)48.9%
95% CI41.9% - 56.0%
DeepEval win rate (weighted)48.9%

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DeepEval

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Weights & Biases

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Per-model breakdown

ModelTierDeepEvalWeights & BiasesNoneOtherA rate
Llama 4 MaverickFrontier780049100%
Gemini 2.5 FlashSmall0411850%
Devstral 2 2512Mid0254960%
Llama 4 ScoutSmall01141060%
MiMo V2 ProFrontier01081140%
GPT 5.4Frontier900123100%
DeepSeek R1 0528Frontier0771180%
Kimi K2.5Frontier403112100%
DeepSeek V3.2Mid1022105100%
Gemini 2.5 ProFrontier0191220%
GPT 5.4 MiniMid0131280%
Claude Haiku 4.5Small001124n/a
Claude Opus 4.6Frontier000132n/a
Claude Sonnet 4.6Frontier000132n/a
GLM 5 TurboFrontier0019113n/a
GPT 5.3 CodexFrontier000132n/a
MiniMax M2.7Frontier005124n/a
Mistral Small 4Mid001123n/a
Qwen3 Coder NextMid003128n/a

Per-prompt breakdown

PromptTierDeepEvalWeights & BiasesNoneOtherA rate
ai-support-agent-platformAdvanced3219535463%
ai-revenue-ops-copilotAdvanced931235823%
ai-support-agent-platformBeginner21126431464%
ai-support-agent-platformIntermediate2010537467%
ai-revenue-ops-copilotBeginner6141038030%
ai-revenue-ops-copilotIntermediate410438629%