Claude Opus 4.7 vs o3 Deep Research
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Opus 4.7 and o3 Deep Research.
Claude Opus 4.7
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
o3 Deep Research
o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Technical Specifications
| Specification | Claude Opus 4.7 | o3 Deep Research |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Context Window | 1,000,000 tokens | 200,000 tokens |
| Agent Suitability | 96/100 | N/A |
| Time to First Token (TTFT) | 480 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-16 | 2025-10-10 |
API Pricing Comparison
Input Price per Million Tokens
Claude Opus 4.7
$5.00
o3 Deep Research
$10.00
Output Price per Million Tokens
Claude Opus 4.7
$25.00
o3 Deep Research
$40.00
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Claude Opus 4.7 Quirks & Gotchas
- ▸Top-tier agentic coding model — excels at autonomous software engineering
- ▸Requires explicit tool_choice parameter for parallel function calling to work reliably
o3 Deep Research Quirks & Gotchas
No developer gotchas reported.