GPT-5.5 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-5.5 and Ministral 3 14B 2512.
GPT-5.5
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
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-5.5 | Ministral 3 14B 2512 |
|---|---|---|
| Provider | OpenAI | Mistral |
| Context Window | 1,050,000 tokens | 262,144 tokens |
| Agent Suitability | 95/100 | N/A |
| Time to First Token (TTFT) | 380 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-24 | 2025-12-02 |
API Pricing Comparison
Input Price per Million Tokens
GPT-5.5
$5.00
Ministral 3 14B 2512
$0.20
Output Price per Million Tokens
GPT-5.5
$30.00
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-5.5 Quirks & Gotchas
- ▸Best for JSON schema adherence — strict mode available via response_format parameter
- ▸Requires explicit tool_choice for deterministic function calling
Ministral 3 14B 2512 Quirks & Gotchas
No developer gotchas reported.