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LLM Coding Agents
Methodology

Codex CLI vs PromptLayer

Codex CLICOCodex CLIvsPRPromptLayer
Codex CLIPromptLayer
43%
57%

Leading: PromptLayer (57.1%)

Insufficient data
This matchup has 7 decisive cases (minimum 30 required for publication).

Statistics

MetricValue
Codex CLI wins3
PromptLayer wins4
Abstains (no tool)715
Other tool chosen1723
Decisive cases7
Codex CLI win rate (unweighted)42.9%
95% CI15.8% - 75.0%
Codex CLI win rate (weighted)42.9%

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Codex CLI

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PromptLayer

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Per-model breakdown

ModelTierCodex CLIPromptLayerNoneOtherA rate
MiniMax M2.7Frontier03251010%
GPT 5.4Frontier203195100%
GPT 5.4 MiniMid107123100%
MiMo V2 ProFrontier01301010%
Claude Haiku 4.5Small006555n/a
Claude Opus 4.6Frontier0020112n/a
Claude Sonnet 4.6Frontier005874n/a
DeepSeek R1 0528Frontier005181n/a
DeepSeek V3.2Mid005278n/a
Devstral 2 2512Mid005570n/a
Gemini 2.5 FlashSmall005973n/a
Gemini 2.5 ProFrontier0018114n/a
GLM 5 TurboFrontier002130n/a
GPT 5.3 CodexFrontier0025107n/a
Kimi K2.5Frontier005365n/a
Llama 4 MaverickFrontier005280n/a
Llama 4 ScoutSmall004188n/a
Mistral Small 4Mid005464n/a
Qwen3 Coder NextMid0017112n/a

Per-prompt breakdown

PromptTierCodex CLIPromptLayerNoneOtherA rate
ai-support-agent-platformAdvanced33040450%
ai-support-agent-platformIntermediate012052080%
ai-revenue-ops-copilotIntermediate002398n/a
ai-revenue-ops-copilotBeginner00222193n/a
ai-revenue-ops-copilotAdvanced007382n/a
ai-support-agent-platformBeginner00279138n/a