Comparison page
Grok 4.3 vs GPT-5.4
Compare xAI's flagship chat model against OpenAI's flagship model for premium text workloads.
Side-by-side pricing
The table uses the same example request on both models so you can compare flagship reasoning and agentic workflows without changing the prompt shape.
Input 1,000 / Output 250
| Model | Input / 1M | Cached input / 1M | Output / 1M | Example request | Source |
|---|---|---|---|---|---|
Grok 4.3 xAI's current flagship text model for reasoning-heavy and agentic workflows. | $1.25 | $0.200 | $2.50 | $0.0019 | xAI pricing |
GPT-5.4 OpenAI's latest flagship general-purpose model for complex work. | $2.50 | No public rate | $15.0 | $0.0063 | OpenAI pricing |
When to choose each model
Grok 4.3
Choose Grok 4.3 when you want the economics or capability profile of xAI and you can justify the published rate.
GPT-5.4
Choose GPT-5.4 when you need the second option in this comparison and want to test whether it lowers spend without hurting the workflow.
Use cases
- • Prototype agents that need premium quality.
- • Benchmarking xAI against the dominant OpenAI rate card.
- • Reviewing vendor mix for a higher-intent AI product.
If the prompt is noisy or repetitive, run it through the prompt optimizer first.
If the brief is too loose, use the context engineer to tighten the instructions before you compare models again.
For the broader pricing strategy, read the LLM cost optimization pillar and the cost-per-million-tokens cheat sheet.
FAQ
Which model is cheaper on paper?
GPT-5.4 is cheaper in the current public price set, while Grok 4.3 sits at a higher flagship rate.
Why include xAI here?
Because many teams are actively comparing Grok against the larger incumbent APIs when they plan premium text workloads.
Should I factor in cache pricing?
Yes. xAI publishes cached-input pricing, so repeated context can materially change the economics of the comparison.