Claude Opus 4.7 vs GPT-3.5 Turbo Instruct
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 Instruct.
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 Instruct
This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.
Technical Specifications
| Specification | Claude Opus 4.7 | GPT-3.5 Turbo Instruct |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Context Window | 1,000,000 tokens | 4,095 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 | 2023-09-28 |
API Pricing Comparison
Input Price per Million Tokens
Claude Opus 4.7
$5.00
GPT-3.5 Turbo Instruct
$1.50
Output Price per Million Tokens
Claude Opus 4.7
$25.00
GPT-3.5 Turbo Instruct
$2.00
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-3.5 Turbo Instruct Quirks & Gotchas
No developer gotchas reported.