Claude Opus 4.7 vs GPT-3.5 Turbo 16k
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-3.5 Turbo 16k.
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-3.5 Turbo 16k
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
Technical Specifications
| Specification | Claude Opus 4.7 | GPT-3.5 Turbo 16k |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Context Window | 1,000,000 tokens | 16,385 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 | 2023-08-28 |
API Pricing Comparison
Input Price per Million Tokens
Claude Opus 4.7
$5.00
GPT-3.5 Turbo 16k
$3.00
Output Price per Million Tokens
Claude Opus 4.7
$25.00
GPT-3.5 Turbo 16k
$4.00
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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
- โธTop-tier agentic coding model โ excels at autonomous software engineering
- โธRequires explicit tool_choice parameter for parallel function calling to work reliably
GPT-3.5 Turbo 16k Quirks & Gotchas
No developer gotchas reported.