Claude Opus 4.6 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 4.6 and o3 Deep Research.
Claude Opus 4.6
Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...
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 4.6 | o3 Deep Research |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Context Window | 1,000,000 tokens | 200,000 tokens |
| Agent Suitability | 95/100 | N/A |
| Time to First Token (TTFT) | 500 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-02-04 | 2025-10-10 |
API Pricing Comparison
Input Price per Million Tokens
Claude Opus 4.6
$5.00
o3 Deep Research
$10.00
Output Price per Million Tokens
Claude Opus 4.6
$25.00
o3 Deep Research
$40.00
Want to test both models live?
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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 4.6 Quirks & Gotchas
- ▸Best for long-context document analysis and legal review
- ▸Tool calling requires structured prompt — prone to verbose refusal without explicit output schema
o3 Deep Research Quirks & Gotchas
No developer gotchas reported.