Model comparison
Claude Sonnet 4.6 vs GPT-5.4 Mini
The most notable difference between Claude Sonnet 4.6 and GPT-5.4 Mini is their token context capacities, with Claude Sonnet 4.6 capable of handling 1,000,000 tokens versus GPT-5.4 Mini's 400,000 tokens.
Anthropic
Claude Sonnet 4.6
The pragmatic default — Claude quality without Opus pricing.
OpenAI
GPT-5.4 Mini
GPT-5 economics for high-volume routine tasks.
Specs
| Metric | Claude Sonnet 4.6 | GPT-5.4 Mini |
|---|---|---|
| Context window | 1M tokens↑ | 400K tokens |
| Input $/1M tokens | $3.00 | $0.750↑ |
| Output $/1M tokens | $15.00 | $4.50↑ |
| Modalities | Text · Image | File · Image · Text |
| Open weights | No | No |
Capability differences
| Capability | Claude Sonnet 4.6 | GPT-5.4 Mini |
|---|---|---|
| Extended thinking | Yes | No |
How they differ
Context handling
Claude Sonnet 4.6
Claude Sonnet 4.6 supports an extensive context window of 1,000,000 tokens, enabling long-form discussions and processing massive documents.
GPT-5.4 Mini
GPT-5.4 Mini operates with a context window of 400,000 tokens, adequate for handling moderate-length documents and interactions.
Cost profile
Claude Sonnet 4.6
Claude Sonnet 4.6 incurs higher costs at $3.0 per million input tokens and $15.0 per million output tokens.
GPT-5.4 Mini
GPT-5.4 Mini is more economical at $0.75 per million input tokens and $4.5 per million output tokens.
Vision
Claude Sonnet 4.6
Claude Sonnet 4.6 supports multi-modal input with text and image capabilities but does not accept file uploads.
GPT-5.4 Mini
GPT-5.4 Mini supports text and image inputs and expands capability by accepting file uploads for enhanced flexibility.
Claude Sonnet 4.6 — what sets it apart
- +Claude Sonnet 4.6 features a token context size of 1,000,000, enabling handling of extensive datasets or discussions.
- +Provides nuanced context-aware reasoning tailored for thematic coherence over longer sequences.
GPT-5.4 Mini — what sets it apart
- +GPT-5.4 Mini's smaller token context of 400,000 trades off capacity for more streamlined and rapid processing.
- +Its support for file-based input alongside text and image inputs enhances versatility for data-rich applications.
Differences in token context and cost profile are pivotal when choosing between Claude Sonnet 4.6 and GPT-5.4 Mini, as they directly affect scalability and operational expense.
Analysis synthesized from gpt-4o, llama-4-maverick, phi-4, etc.