Claude Opus 4.7 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 4.7 vs GPT-5.3-Codex: side by side
| Spec | Claude Opus 4.7 | GPT-5.3-Codex | Winner |
|---|---|---|---|
| Intelligence | 57.3 | 53.6 | Claude Opus 4.7 |
| Output speed | 51 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 4.7 |
| Params | — | — | Tie |
| Type | Proprietary | Proprietary | Tie |
| Provider | Anthropic | OpenAI | Tie |
Claude Opus 4.7
Pros
- +Handles very large contexts effectively
- +Strong reasoning and writing quality
- +Versatile with text, image, and file inputs
- +Careful and safety-aligned responses
Cons
- –Can be overly cautious or refuse edge cases
- –Higher latency on complex multimodal tasks
- –No native real-time web 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. Claude Opus 4.7 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.