Claude Opus 4.7 vs GPT-4.1
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 GPT-4.1.
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...
GPT-4.1
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
Technical Specifications
| Specification | Claude Opus 4.7 | GPT-4.1 |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Context Window | 1,000,000 tokens | 1,047,576 tokens |
| Agent Suitability | 96/100 | 91/100 |
| Time to First Token (TTFT) | 480 ms | 250 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-16 | 2025-04-14 |
API Pricing Comparison
Input Price per Million Tokens
Claude Opus 4.7
$5.00
GPT-4.1
$2.00
Output Price per Million Tokens
Claude Opus 4.7
$25.00
GPT-4.1
$8.00
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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
GPT-4.1 Quirks & Gotchas
- ▸Strong tool-calling reliability — good migration path from GPT-4o
- ▸Migrate to GPT-5 for larger context window and improved reasoning