GPT-3.5 Turbo 16k vs Voxtral Small 24B 2507
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 Voxtral Small 24B 2507.
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...
Voxtral Small 24B 2507
Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio...
Technical Specifications
| Specification | GPT-3.5 Turbo 16k | Voxtral Small 24B 2507 |
|---|---|---|
| Provider | OpenAI | Mistral |
| Context Window | 16,385 tokens | 32,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2023-08-28 | 2025-10-30 |
API Pricing Comparison
Input Price per Million Tokens
GPT-3.5 Turbo 16k
$3.00
Voxtral Small 24B 2507
$0.10
Output Price per Million Tokens
GPT-3.5 Turbo 16k
$4.00
Voxtral Small 24B 2507
$0.30
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.
Voxtral Small 24B 2507 Quirks & Gotchas
No developer gotchas reported.