GPT-5 Codex vs GPT-5 Mini
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 GPT-5 Mini: side by side
| Spec | GPT-5 Codex | GPT-5 Mini | Winner |
|---|---|---|---|
| Intelligence | 44.6 | 38.9 | GPT-5 Codex |
| Output speed | 150 t/s | 97 t/s | GPT-5 Codex |
| Output price | $10.00/1M | $2.00/1M | GPT-5 Mini |
| Context | 400K | 400K | Tie |
| Params | — | — | Tie |
| Type | Proprietary | Proprietary | Tie |
| Provider | OpenAI | OpenAI | 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
GPT-5 Mini
Pros
- +Handles very large contexts efficiently
- +Integrates text, image, and file inputs
- +Suitable for complex multi-turn tasks
- +Compact multimodal design
Cons
- –Reduced depth on highly complex reasoning vs full-size models
- –Performance depends on input clarity across modalities
- –May require careful prompting for nuanced outputs
Frequently asked questions
It depends on your needs. GPT-5 Codex and GPT-5 Mini are both multimodal models; the comparison table above shows where each one leads on the metrics that matter. See the verdict for a recommendation.