Claude Opus 4.7 vs DeepSeek R1
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 DeepSeek R1.
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...
DeepSeek R1
A premier reasoning model employing large-scale reinforcement learning. Displays specialized math, coding, and logical validation capabilities comparable to OpenAI's o1.
Technical Specifications
| Specification | Claude Opus 4.7 | DeepSeek R1 |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Context Window | 1,000,000 tokens | 163,840 tokens |
| Agent Suitability | 96/100 | 78/100 |
| Time to First Token (TTFT) | 480 ms | 1800 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-16 | 2025-01-20 |
API Pricing Comparison
Input Price per Million Tokens
Claude Opus 4.7
$5.00
DeepSeek R1
$0.70
Output Price per Million Tokens
Claude Opus 4.7
$25.00
DeepSeek R1
$2.50
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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
DeepSeek R1 Quirks & Gotchas
- ▸Reasoning model — not designed for high-frequency tool calling
- ▸Pair with a smaller model (V4 Flash) for routing and use R1 for complex reasoning only