GPT-3.5 Turbo 16k vs GPT Audio
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 GPT-3.5 Turbo 16k and GPT Audio.
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...
GPT Audio
The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...
Technical Specifications
| Specification | GPT-3.5 Turbo 16k | GPT Audio |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Context Window | 16,385 tokens | 128,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2023-08-28 | 2026-01-19 |
API Pricing Comparison
Input Price per Million Tokens
GPT-3.5 Turbo 16k
$3.00
GPT Audio
$2.50
Output Price per Million Tokens
GPT-3.5 Turbo 16k
$4.00
GPT Audio
$10.00
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.
GPT-3.5 Turbo 16k Quirks & Gotchas
No developer gotchas reported.
GPT Audio Quirks & Gotchas
No developer gotchas reported.