Claude Opus 4.7 vs GPT-5.2
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 if you need lower-cost processing at $14 per 1M tokens for file, image, and text tasks.
- ✓Choose GPT-5.2 if you need scalable document-level analysis within a 400k context window.
- ✓Choose GPT-5.2 if you need unified multimodal processing without requiring the absolute largest contexts.
Choose GPT-5.2 if you need
- ✓Choose Claude Opus 4.7 if you need higher intelligence (57.3 index) and strong reasoning quality on million-token inputs.
- ✓Choose Claude Opus 4.7 if you need 50.87 t/s output speed with versatile text, image, and file support.
- ✓Choose Claude Opus 4.7 if you need careful, safety-aligned responses on very large multimodal contexts.
Verdict
Claude Opus 4.7 leads in intelligence (57.3 vs 46.6) and context size (1M vs 400k tokens) while delivering known output speed of 50.87 t/s, making it stronger for precision reasoning on massive multimodal inputs. GPT-5.2 undercuts it on price ($14 vs $25 per 1M tokens) and offers unified file-image-text handling within a still-extensive 400k context. The choice hinges on whether raw capability and scale outweigh cost efficiency.
Claude Opus 4.7 vs GPT-5.2: side by side
| Spec | Claude Opus 4.7 | GPT-5.2 | Winner |
|---|---|---|---|
| Intelligence | 57.3 | 46.6 | Claude Opus 4.7 |
| Output speed | 51 t/s | — | Tie |
| Output price | $25.00/1M | $14.00/1M | GPT-5.2 |
| Context | 1000K | 400K | Claude Opus 4.7 |
| Params | — | — | Tie |
| Type | Proprietary | Proprietary | Tie |
| Provider | Anthropic | OpenAI | Tie |
Detailed analysis
Intelligence
Winner: Claude Opus 4.7Claude Opus 4.7 scores 57.3 on the intelligence index compared to GPT-5.2's 46.6. This gap favors Claude for tasks requiring stronger reasoning and writing quality. Both models remain proprietary with unknown parameter counts.
Pricing
Winner: GPT-5.2GPT-5.2 costs $14 per 1M tokens while Claude Opus 4.7 costs $25 per 1M tokens. The 43% price advantage goes to GPT-5.2 for budget-sensitive multimodal workloads. No other cost factors are provided.
Context & Speed
Winner: Claude Opus 4.7Claude Opus 4.7 supports 1M tokens versus GPT-5.2's 400k and reports 50.87 t/s output speed. GPT-5.2's speed is unspecified. Claude's larger window and measured speed give it the edge for long multimodal inputs.
Multimodal Scope
Winner: TieBoth handle text, images, and files as proprietary multimodal models. GPT-5.2 emphasizes unified processing and document analysis while Claude stresses precision on million-token inputs. Neither supports native audio or video.
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-5.2
Pros
- +Extensive context window
- +Support for files, images, and text
- +Unified multimodal processing
- +Scalable document-level analysis
Cons
- –High resource use with maximum context
- –No native audio or video modalities
- –Risk of diluted focus in very long inputs
Summary: Claude Opus 4.7 vs GPT-5.2
Select Claude Opus 4.7 when maximum intelligence, context size, and measured speed matter most despite the higher price. Choose GPT-5.2 when cost efficiency and solid 400k-context multimodal document work are priorities. The data show clear trade-offs between capability and affordability.
Frequently asked questions
Claude Opus 4.7 scores higher on intelligence and offers larger context plus known speed, while GPT-5.2 is cheaper; the better model depends on whether performance or cost is the priority.