Model comparison
o1 vs Claude Opus 4.7
The most significant observable difference is the token context capacity, with Claude Opus 4.7 supporting 1,000,000 tokens versus 200,000 tokens for o1.
OpenAI
o1
The first reasoning model — historically important, now superseded.
Anthropic
Claude Opus 4.7
Anthropic's heavyweight for hard reasoning and agentic work.
Specs
| Metric | o1 | Claude Opus 4.7 |
|---|---|---|
| Context window | 200K tokens | 1M tokens↑ |
| Input $/1M tokens | $15.00 | $5.00↑ |
| Output $/1M tokens | $60.00 | $25.00↑ |
| Modalities | Text · Image · File | Text · Image |
| Open weights | No | No |
| Released | Dec 2024 | — |
Capability differences
| Capability | o1 | Claude Opus 4.7 |
|---|---|---|
| Tool use | No | Yes |
| Vision | No | Yes |
| Prompt caching | No | Yes |
How they differ
Context handling
o1
o1 supports a smaller token context of up to 200,000, suitable for more constrained input sizes.
Claude Opus 4.7
Claude Opus 4.7 supports a token context of up to 1,000,000, enabling extensive information processing.
Cost profile
o1
o1 has a higher cost structure, charging $15.0 per 1M input tokens and $60.0 per 1M output tokens.
Claude Opus 4.7
Claude Opus 4.7 offers a lower cost structure at $5.0 per 1M input tokens and $25.0 per 1M output tokens.
Vision
o1
o1 expands multimodal capabilities to include text, image, and file inputs.
Claude Opus 4.7
Claude Opus 4.7 supports text and image inputs for multimodal tasks.
o1 — what sets it apart
- +Includes file input capabilities alongside text and image, enabling broader input flexibility.
- +May optimize for task-oriented reasoning through structured API capabilities.
Claude Opus 4.7 — what sets it apart
- +Offers significantly larger token context, suitable for long-form or extensive processing tasks.
- +Designed with cost-efficiency in mind, with lower per-token input and output rates.
The most consequential difference is Claude Opus 4.7's significantly larger token context size and cost-efficiency, compared to o1's additional input flexibility through file handling.
Analysis synthesized from gpt-4o, llama-4-maverick, phi-4, etc.