Claude Opus 4.8 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.
Claude Opus 4.8 vs GPT-5.3-Codex: side by side
| Spec | Claude Opus 4.8 | GPT-5.3-Codex | Winner |
|---|---|---|---|
| Intelligence | 61.4 | 53.6 | Claude Opus 4.8 |
| Output speed | 62 t/s | 101 t/s | GPT-5.3-Codex |
| Output price | $25.00/1M | $14.00/1M | GPT-5.3-Codex |
| Context | 1000K | 400K | Claude Opus 4.8 |
| Params | — | — | Tie |
| Type | Proprietary | Proprietary | Tie |
| Provider | Anthropic | OpenAI | Tie |
Claude Opus 4.8
Pros
- +Handles extremely long inputs effectively
- +Strong multimodal integration of text, images, and files
- +Careful and nuanced reasoning
- +Robust safety alignment
Cons
- –Higher latency on large contexts
- –Conservative response style due to safety tuning
- –May require explicit guidance for creative tasks
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. Claude Opus 4.8 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.