GPT-3.5 Turbo 16k vs Ministral 3 14B 2512
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 Ministral 3 14B 2512.
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...
Ministral 3 14B 2512
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...
Technical Specifications
| Specification | GPT-3.5 Turbo 16k | Ministral 3 14B 2512 |
|---|---|---|
| Provider | OpenAI | Mistral |
| Context Window | 16,385 tokens | 262,144 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 | 2025-12-02 |
API Pricing Comparison
Input Price per Million Tokens
GPT-3.5 Turbo 16k
$3.00
Ministral 3 14B 2512
$0.20
Output Price per Million Tokens
GPT-3.5 Turbo 16k
$4.00
Ministral 3 14B 2512
$0.20
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.
Ministral 3 14B 2512 Quirks & Gotchas
No developer gotchas reported.