Model comparison
Claude Opus 4.7 vs GPT-5.4
GPT-5.4 supports file inputs while Claude Opus 4.7 does not, offering broader input/output versatility.
Anthropic
Claude Opus 4.7
Anthropic's heavyweight for hard reasoning and agentic work.
OpenAI
GPT-5.4
OpenAI's flagship — broadest modality and ecosystem coverage.
Specs
| Metric | Claude Opus 4.7 | GPT-5.4 |
|---|---|---|
| Context window | 1M tokens | 1.1M tokens↑ |
| Input $/1M tokens | $5.00 | $2.50↑ |
| Output $/1M tokens | $25.00 | $15.00↑ |
| Modalities | Text · Image | Text · Image · File |
| Open weights | No | No |
How they differ
Reasoning approach
Claude Opus 4.7
Claude Opus 4.7 prioritizes structured, cautious reasoning with an emphasis on safety and interpretability.
GPT-5.4
GPT-5.4 demonstrates adaptable probabilistic reasoning optimized for diverse contexts and edge cases.
Coding
Claude Opus 4.7
Claude Opus 4.7 excels in explanatory code generation, providing detailed transparency in its outputs.
GPT-5.4
GPT-5.4 generates code swiftly, handling complex tasks efficiently but with fewer embedded explanations.
Context handling
Claude Opus 4.7
Claude Opus 4.7 uses its 1,000,000 token context for cohesive summarization and linking across extended dialogues.
GPT-5.4
GPT-5.4 leverages its 1,050,000 token context for processing large, heterogeneous inputs involving multiple modalities.
Cost profile
Claude Opus 4.7
Claude Opus 4.7 charges $5.0 per 1M input tokens and $25.0 per 1M output tokens, making it significantly more expensive.
GPT-5.4
GPT-5.4 is priced at $2.5 per 1M input tokens and $15.0 per 1M output tokens, providing a more economical option.
Vision
Claude Opus 4.7
Claude Opus 4.7 supports text and image inputs but lacks file processing capabilities.
GPT-5.4
GPT-5.4 supports text, images, and file inputs, enabling broader multimodal functionalities.
Speed
Claude Opus 4.7
Claude Opus 4.7 processes tasks predictably but can experience latency during complex reasoning.
GPT-5.4
GPT-5.4 is tuned for high-speed responsiveness, completing tasks faster across diverse scenarios.
Open weights
Claude Opus 4.7
Claude Opus 4.7 operates with closed-source weights to maintain proprietary optimizations.
GPT-5.4
GPT-5.4 also utilizes closed-source weights to preserve proprietary model configurations.
Claude Opus 4.7 — what sets it apart
- +Emphasizes cautious and safe responses through structured reasoning.
- +Charges higher rates for token processing compared to GPT-5.4.
GPT-5.4 — what sets it apart
- +Supports file inputs, enhancing versatility in multimodal tasks.
- +Offers lower token processing costs, maximizing affordability for large-scale systems.
The most consequential difference is GPT-5.4's ability to handle file inputs in addition to text and images.
Analysis synthesized from gpt-4o, llama-4-maverick, phi-4, etc.