Gemini 2.5 Pro vs GPT-5.3-Codex
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.
Gemini 2.5 Pro vs GPT-5.3-Codex: side by side
| Spec | Gemini 2.5 Pro | GPT-5.3-Codex | Winner |
|---|---|---|---|
| Intelligence | 27 | 44.3 | GPT-5.3-Codex |
| Output speed | 132 t/s | 79 t/s | Gemini 2.5 Pro |
| Output price | $10.00/1M | $14.00/1M | Gemini 2.5 Pro |
| Context | 1049K | 400K | Gemini 2.5 Pro |
| Params | — | — | Tie |
| Provider | OpenAI | Tie |
Gemini 2.5 Pro
Pros
- +Very large context window for extended inputs
- +Native support for multiple modalities in one model
- +Strong integration of text with visual and audio data
Cons
- –Higher latency on very large multimodal inputs
- –Performance can vary with extremely long contexts
- –Dependent on Google infrastructure for access
GPT-5.3-Codex
Pros
- +Specialized for programming workflows
- +Extensive context handling
- +Support for diverse input types
Cons
- –Narrower focus than general-purpose models
- –Performance tied to input quality
Frequently asked questions
It depends on your needs. Gemini 2.5 Pro and GPT-5.3-Codex are both multimodal models; the comparison table above shows where each one leads on the metrics that matter. See the verdict for a recommendation.