GPT-5.2-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-5.2-Codex vs Grok 4.20: side by side
| Spec | GPT-5.2-Codex | Grok 4.20 | Winner |
|---|---|---|---|
| Intelligence | 40.1 | 37 | GPT-5.2-Codex |
| Output speed | 146 t/s | 132 t/s | GPT-5.2-Codex |
| Output price | $14.00/1M | $2.50/1M | Grok 4.20 |
| Context | 400K | 2000K | Grok 4.20 |
| Params | — | — | Tie |
| Provider | OpenAI | xAI | Tie |
GPT-5.2-Codex
Pros
- +Very large context window for extended inputs
- +Strong coding specialization
- +Seamless integration of text and image data
Cons
- –Restricted to text and image modalities
- –High resource demands at maximum context length
- –No native support for audio or video
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-5.2-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.