GPT-5.4 vs Grok 4 for Business
Winner: GPT-5.4. In our testing for Business (strategic analysis, structured output, faithfulness) GPT-5.4 scores 5.00 vs Grok 4's 4.6667, a 0.33-point lead. GPT-5.4 outperforms Grok 4 on structured output (5 vs 4), agentic planning (5 vs 3), and safety calibration (5 vs 2) — all crucial for regulatory, repeatable reporting and multi-step decision support. Grok 4 is competitive on strategic analysis and faithfulness (both tie at 5) and wins classification (4 vs 3), but the composite task score and GPT-5.4’s advantages in long-context capacity and lower input cost make it the definitive Business pick in our benchmarks.
openai
GPT-5.4
Benchmark Scores
External Benchmarks
Pricing
Input
$2.50/MTok
Output
$15.00/MTok
modelpicker.net
xai
Grok 4
Benchmark Scores
External Benchmarks
Pricing
Input
$3.00/MTok
Output
$15.00/MTok
modelpicker.net
Task Analysis
What Business demands: accurate strategic analysis, repeatable structured outputs (reports, dashboards, JSON schemas), and faithfulness to source data — plus reliable safety handling, long-context retrieval for long reports, and robust planning for multi-step decisions. No external benchmark is provided for this task, so our internal task score is primary: GPT-5.4 = 5.00, Grok 4 = 4.6667 (our 12-test proxy composite for Business). Supporting evidence from our per-metric scores: GPT-5.4 scores 5 on strategic analysis, structured output, and faithfulness; Grok 4 scores 5 on strategic analysis and faithfulness but 4 on structured output. Other relevant differences: GPT-5.4 has agentic planning 5 vs Grok 4’s 3 and safety calibration 5 vs 2 — important for failure recovery and safe handling of sensitive or harmful prompts. Both models tie on tool calling (4) and long context (5), but GPT-5.4’s raw context window (1,050,000 tokens vs 256,000) and lower input cost ($2.50 vs $3.00 per M-token) improve viability for large reports and long-term conversational workflows.
Practical Examples
- Board-level strategic memo (high-precision structured output + long context): GPT-5.4 shines — structured output 5 vs Grok 4, long context both 5 but GPT-5.4’s 1,050,000-token window lets you keep entire data appendices in context. 2) Multi-step project plan with automated recovery: GPT-5.4 is stronger (agentic planning 5 vs 3), producing robust decomposition and recovery paths. 3) Regulated financial report requiring strict JSON schema and refusal safety: GPT-5.4 (structured output 5, safety calibration 5) reduces rework and compliance risk; Grok 4’s safety score (2) is a practical weakness here. 4) High-volume ticket routing and classification pipelines: Grok 4 is preferable for classification-heavy tasks (classification 4 vs GPT-5.4’s 3), so use Grok 4 when accurate automated routing is the highest priority. 5) Tool-driven dashboards and automation: both models support tool calling and structured outputs (tool calling 4 each; supported_parameters include tools and structured outputs), so either can integrate — choose GPT-5.4 when planning, safety, or ultra-long context matter, choose Grok 4 when classification throughput is the primary need. Cost and limits: input cost GPT-5.4 $2.50/MTok vs Grok 4 $3.00/MTok; output cost equal at $15/MTok.
Bottom Line
For Business, choose GPT-5.4 if you need reliable structured reporting, multi-step planning, regulatory-safe behavior, or handling very long documents (large context windows) — GPT-5.4 scored 5.00 vs Grok 4’s 4.67 in our testing. Choose Grok 4 if your priority is classification and routing at scale (classification 4 vs GPT-5.4’s 3) and you can accept a smaller context window and weaker safety calibration.
How We Test
We test every model against our 12-benchmark suite covering tool calling, agentic planning, creative problem solving, safety calibration, and more. Each test is scored 1–5 by an LLM judge. Read our full methodology.