GPT-5 Codex 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.
GPT-5 Codex vs Grok 4.20: side by side
| Spec | GPT-5 Codex | Grok 4.20 | Winner |
|---|---|---|---|
| Intelligence | 44.6 | 49.3 | Grok 4.20 |
| Output speed | 150 t/s | 168 t/s | Grok 4.20 |
| Output price | $10.00/1M | $2.50/1M | Grok 4.20 |
| Context | 400K | 2000K | Grok 4.20 |
| Params | — | — | Tie |
| Type | Proprietary | Proprietary | Tie |
| Provider | OpenAI | xAI | Tie |
GPT-5 Codex
Pros
- +Handles extremely large inputs effectively
- +Strong coding specialization
- +Unified text and image reasoning
Cons
- –High resource demands with maximum context
- –Limited to text and static images
- –Potential coherence loss in very long outputs
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
Frequently asked questions
It depends on your needs. GPT-5 Codex and Grok 4.20 are both multimodal models; the comparison table above shows where each one leads on the metrics that matter. See the verdict for a recommendation.