Claude Opus 4.7 vs GPT-5.2-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.
Quick verdict: which should you choose?
Choose Claude Opus 4.7 if you need
- ✓Choose GPT-5.2-Codex if you need faster output at 145.81 t/s for high-volume text-image workflows.
- ✓Choose GPT-5.2-Codex if you need lower pricing at $14 per million tokens.
- ✓Choose GPT-5.2-Codex if you need strong coding specialization with seamless text-image integration.
- ✓Choose GPT-5.2-Codex if you need a 400k context window without maximum resource overhead.
Choose GPT-5.2-Codex if you need
- ✓Choose Claude Opus 4.7 if you need higher intelligence at 53.5 index for complex reasoning.
- ✓Choose Claude Opus 4.7 if you need up to 1M token context handling.
- ✓Choose Claude Opus 4.7 if you need versatility with text, image, and file inputs.
- ✓Choose Claude Opus 4.7 if you need safety-aligned responses with strong writing quality.
Verdict
Claude Opus 4.7 leads in intelligence and maximum context scale while GPT-5.2-Codex dominates speed and cost efficiency. GPT-5.2-Codex excels for coding-focused multimodal tasks needing rapid throughput on 400k contexts. Claude Opus 4.7 suits users prioritizing reasoning quality and handling million-token inputs across text, images, and files.
Claude Opus 4.7 vs GPT-5.2-Codex: side by side
| Spec | Claude Opus 4.7 | GPT-5.2-Codex | Winner |
|---|---|---|---|
| Intelligence | 53.5 | 40.1 | Claude Opus 4.7 |
| Output speed | 50 t/s | 146 t/s | GPT-5.2-Codex |
| Output price | $25.00/1M | $14.00/1M | GPT-5.2-Codex |
| Context | 1000K | 400K | Claude Opus 4.7 |
| Params | — | — | Tie |
| Provider | Anthropic | OpenAI | Tie |
Detailed analysis
Intelligence
Winner: Claude Opus 4.7Claude Opus 4.7 scores 53.5 on intelligence_index compared to GPT-5.2-Codex at 40.1. This edge supports its noted strengths in reasoning and writing quality for multimodal tasks.
Speed and Pricing
Winner: GPT-5.2-CodexGPT-5.2-Codex delivers 145.81 t/s output speed at $14 per million tokens versus Claude Opus 4.7's 50.25 t/s at $25. These metrics favor GPT-5.2-Codex for latency-sensitive or budget-conscious deployments.
Context Window
Winner: Claude Opus 4.7Claude Opus 4.7 supports a 1M token context while GPT-5.2-Codex is limited to 400k. Both handle large multimodal inputs effectively but Claude scales further per the specs.
Modalities
Winner: Claude Opus 4.7Claude Opus 4.7 processes text, images, and files whereas GPT-5.2-Codex is restricted to text and images. This gives Claude broader versatility within the provided multimodal capabilities.
Claude Opus 4.7
Pros
- +Handles very large contexts effectively
- +Strong reasoning and writing quality
- +Versatile with text, image, and file inputs
Cons
- –Can be overly cautious or refuse edge cases
- –Higher latency on complex multimodal tasks
- –No native real-time web access
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
Summary: Claude Opus 4.7 vs GPT-5.2-Codex
Select GPT-5.2-Codex for speed-critical coding or cost-sensitive text-image work. Choose Claude Opus 4.7 when maximum context, higher intelligence, or file-inclusive multimodal inputs are required. The decision hinges on whether throughput or scale and reasoning take priority.
Frequently asked questions
Claude Opus 4.7 scores higher on intelligence and offers larger context plus file support, while GPT-5.2-Codex is faster and cheaper; overall depends on specific needs for scale versus speed.