GPT-5 vs Grok 4.20 Multi-Agent
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.
GPT-5 vs Grok 4.20 Multi-Agent: side by side
| Spec | GPT-5 | Grok 4.20 Multi-Agent | Winner |
|---|---|---|---|
| Intelligence | 21.8 | — | Tie |
| Output speed | 172 t/s | — | Tie |
| Output price | $10.00/1M | $6.00/1M | Grok 4.20 Multi-Agent |
| Context | 400K | 2000K | Grok 4.20 Multi-Agent |
| Params | — | — | Tie |
| Type | Proprietary | Proprietary | Tie |
| Provider | OpenAI | xAI | Tie |
GPT-5
Pros
- +Very large context window
- +Native multimodal input support
- +Seamless text-image-file integration
Cons
- –Hypothetical model with unverified performance
- –High resource demands for maximum context
- –Potential latency on large multimodal tasks
Grok 4.20 Multi-Agent
Pros
- +Supports extremely long contexts
- +Coordinates multiple agents for workflows
- +Handles text, images, and files natively
Cons
- –Multi-agent setups may add latency
- –Coordination overhead on simple tasks
- –No audio or video modalities
Frequently asked questions
It depends on your needs. GPT-5 and Grok 4.20 Multi-Agent are both multimodal models; the comparison table above shows where each one leads on the metrics that matter. See the verdict for a recommendation.