GPT-5 Pro vs Grok 4.20
A side-by-side comparison of two multimodal models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.
Quick verdict: which should you choose?
Choose GPT-5 Pro if you need
- ✓document-heavy workflows requiring strong text, image, and file integration
- ✓flexible reasoning over extended but not maximum-length contexts
- ✓tasks prioritizing multimodal cohesion over raw speed or cost
Choose Grok 4.20 if you need
- ✓extremely large contexts up to 2M tokens at low cost
- ✓high output speed of 214.59 t/s with native text-image-file support
- ✓budget-conscious multimodal projects where input quality is high
Verdict
Grok 4.20 leads on cost and raw context scale with a 2M token window at $2.5/1M tokens and 214.59 t/s speed, while GPT-5 Pro emphasizes stronger text-image-file integration suited to document-heavy workflows within its 400k context. GPT-5 Pro's higher $120/1M price and unknown speed limit its edge to specialized integration tasks. Grok 4.20 wins on accessibility for large-scale multimodal inputs where price and context size matter most.
GPT-5 Pro vs Grok 4.20: side by side
| Spec | GPT-5 Pro | Grok 4.20 | Winner |
|---|---|---|---|
| Intelligence | — | 37 | Tie |
| Output speed | — | 215 t/s | Tie |
| Output price | $120.00/1M | $2.50/1M | Grok 4.20 |
| Context | 400K | 2000K | Grok 4.20 |
| Params | — | — | Tie |
| Provider | OpenAI | xAI | Tie |
Detailed analysis
Pricing
Winner: Grok 4.20Grok 4.20 costs $2.5 per million tokens versus GPT-5 Pro at $120 per million. This makes Grok dramatically more affordable for high-volume multimodal use. GPT-5 Pro's pricing aligns with its focus on specialized integration rather than broad accessibility.
Context Window
Winner: Grok 4.20Grok 4.20 supports up to 2 million tokens while GPT-5 Pro is limited to 400,000. Grok's larger window directly enables handling of extremely large inputs. Both models note potential latency or cost increases at maximum context sizes.
Multimodal Integration
Winner: GPT-5 ProGPT-5 Pro strengths highlight strong integration of text, image, and file data for document-heavy workflows. Grok 4.20 offers native support for the same modalities in a single model but lacks audio or video. GPT-5 Pro's described integration gives it an edge for cohesive reasoning tasks.
Speed
Winner: Grok 4.20Grok 4.20 provides a measured output speed of 214.59 tokens per second. GPT-5 Pro has no speed data listed. Grok's known performance supports faster handling of large multimodal contexts.
GPT-5 Pro
Pros
- +Handles very large inputs across modalities
- +Strong integration of text, image, and file data
- +Suitable for document-heavy workflows
Cons
- –No native real-time information access
- –Performance can vary on highly specialized topics
- –Higher computational cost with maximum context
Grok 4.20
Pros
- +Handles extremely large contexts up to 2M tokens
- +Native support for text, image, and file inputs
- +Multimodal integration in a single model
Cons
- –No audio or video modality support
- –Very large context can increase latency
- –Performance depends on input quality and structure
Summary: GPT-5 Pro vs Grok 4.20
Select Grok 4.20 for large-context multimodal work where low price and speed are priorities. Choose GPT-5 Pro when document-heavy integration and flexible reasoning over 400k contexts outweigh cost. The models serve overlapping but distinct multimodal needs based on scale versus cohesion.
Frequently asked questions
Grok 4.20 excels for extremely large contexts up to 2M tokens at low cost, while GPT-5 Pro is stronger for integrated document-heavy workflows within 400k context.