GPT-5.4 vs Grok 4 for Agentic Planning

What Agentic Planning demands: the task (defined in our suite as goal decomposition and failure recovery) requires reliable decomposition of high-level goals into ordered steps, robust fallback strategies when steps fail, precise tool selection and argumenting, and strict schema/structured outputs for execution agents. Key capabilities that matter: structured output compliance, tool calling correctness and sequencing, long context capacity for multi-step plans, strategic analysis for tradeoffs, safety calibration to refuse unsafe actions, and faithfulness to source constraints. In our testing the primary evidence is the task score itself: GPT-5.4 scores 5 vs Grok 4's 3 on agentic planning. Supporting metrics: GPT-5.4 scores 5 on structured output (vs Grok 4's 4), ties Grok 4 on tool calling at 4, ties on long context and strategic analysis at 5, and substantially outperforms Grok 4 on safety calibration (5 vs 2). Those internal scores explain WHY GPT-5.4 handles decomposition, recovery, and safe plan generation better in our benchmarks.

Scenario A — Enterprise orchestration: Build a resilient deploy pipeline that decomposes 'deploy service X' into discovery, staging, migration, and rollback steps. GPT-5.4 (agentic planning 5) produces schema-compliant, failure-aware plans and safer action filters (safety calibration 5), and benefits from a 1,050,000-token context window and a published 128,000 max output token cap for very long runbooks. Scenario B — Multi-tool concurrent execution: Coordinate parallel web-scraping, DB writes, and a scheduler where simultaneous calls reduce latency. Grok 4 is notable here because its description reports support for parallel tool calling and it exposes tooling parameters; in practice tool calling scores tie at 4, so Grok 4 can be competitive on execution concurrency despite its lower agentic planning score. Scenario C — Classification-driven routing: If your agentic loop prioritizes routing or label-based branching before planning, Grok 4 scores 4 in classification and ranks tied for 1st there, while GPT-5.4 scores 3 — Grok 4 will better handle accurate routing decisions pre-planning. Scenario D — Safety-critical automation: For actions that might cause harm or irreversible effects, GPT-5.4's safety calibration 5 vs Grok 4's 2 in our tests makes GPT-5.4 the safer planner for conservative failure recovery and refusal behavior.

For Agentic Planning, choose GPT-5.4 if you need robust goal decomposition, failure recovery, strict schema output, and conservative safety behavior (GPT-5.4: agentic planning 5, safety calibration 5, structured output 5). Choose Grok 4 if your priority is parallel tool execution or top-tier classification routing (Grok 4: parallel tool calling support described in the payload, classification 4) and you accept lower overall agentic planning scores (3). Also note cost and context differences: GPT-5.4 input cost 2.5¢/mtok vs Grok 4 3¢/mtok, both 15¢/mtok output; GPT-5.4 offers a much larger context window (1,050,000 vs 256,000 tokens).