GPT-5.4 Pro vs Grok 4.20 Multi-Agent

Grok's 68/100 score suggests xAI optimized specifically for code generation and understanding at scale, leveraging its 2.0M context window (1.9x larger than GPT-5.4's 1.1M) to handle entire codebases in single prompts. The absence of function calling actually forces cleaner code output patterns, while the $6/M output pricing (30x cheaper than GPT-5.4's $180/M) enables extensive iteration and testing workflows that coding teams require.

For most coding workloads, no - Grok 4.20's $2/M input and $6/M output pricing delivers rank #4 performance versus GPT-5.4's rank #11, making it the clear choice for code generation, review, and refactoring. GPT-5.4 Pro only justifies its $180/M output cost when function calling is critical for IDE integrations or when you need guaranteed 128K token outputs (Grok's max output is unspecified).

Grok 4.20's 2.0M context window allows processing entire monorepos or multiple related services simultaneously, while GPT-5.4 Pro's 1.1M window often requires splitting large codebases. This advantage compounds with Grok's superior performance (68 vs 61) and means fewer prompt chains, better cross-file understanding, and more coherent architectural suggestions at 30x lower cost.

GPT-5.4 Pro remains optimal for coding assistants that require function calling for tool integration, such as automated test generation that triggers CI/CD pipelines or code analysis bots that interface with GitHub APIs. Its guaranteed 128K max output also suits documentation generation tasks where Grok's unspecified output limit could truncate results, though at $180/M output versus $6/M, this advantage is expensive.