Model comparison
GPT-5.4 vs Claude Opus 4.7
GPT-5.4 supports file inputs while Claude Opus 4.7 does not, offering broader input/output versatility.
OpenAI
GPT-5.4
OpenAI's flagship — broadest modality and ecosystem coverage.
Anthropic
Claude Opus 4.7
Anthropic's heavyweight for hard reasoning and agentic work.
Specs
| Metric | GPT-5.4 | Claude Opus 4.7 |
|---|---|---|
| Context window | 1.1M tokens↑ | 1M tokens |
| Input $/1M tokens | $2.50↑ | $5.00 |
| Output $/1M tokens | $15.00↑ | $25.00 |
| Modalities | Text · Image · File | Text · Image |
| Open weights | No | No |
How they differ
Reasoning approach
GPT-5.4
GPT-5.4 demonstrates adaptable probabilistic reasoning optimized for diverse contexts and edge cases.
Claude Opus 4.7
Claude Opus 4.7 prioritizes structured, cautious reasoning with an emphasis on safety and interpretability.
Coding
GPT-5.4
GPT-5.4 generates code swiftly, handling complex tasks efficiently but with fewer embedded explanations.
Claude Opus 4.7
Claude Opus 4.7 excels in explanatory code generation, providing detailed transparency in its outputs.
Context handling
GPT-5.4
GPT-5.4 leverages its 1,050,000 token context for processing large, heterogeneous inputs involving multiple modalities.
Claude Opus 4.7
Claude Opus 4.7 uses its 1,000,000 token context for cohesive summarization and linking across extended dialogues.
Cost profile
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.
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.
Vision
GPT-5.4
GPT-5.4 supports text, images, and file inputs, enabling broader multimodal functionalities.
Claude Opus 4.7
Claude Opus 4.7 supports text and image inputs but lacks file processing capabilities.
Speed
GPT-5.4
GPT-5.4 is tuned for high-speed responsiveness, completing tasks faster across diverse scenarios.
Claude Opus 4.7
Claude Opus 4.7 processes tasks predictably but can experience latency during complex reasoning.
Open weights
GPT-5.4
GPT-5.4 also utilizes closed-source weights to preserve proprietary model configurations.
Claude Opus 4.7
Claude Opus 4.7 operates with closed-source weights to maintain proprietary optimizations.
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.
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.
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.