Very long inputs
Choose Ministral 3 14B
Ministral 3 14B reads up to 256k tokens per request, against 128k for GPT-5.2 Chat.
GPT-5.2 Chat vs Ministral 3 14B: price, context and capabilities
Choose Ministral 3 14B for very long inputs and self-hosting and data control; on the other points the two are level or the data is missing.
In short
- A price comparison is not possible: one of them has no comparable published price.
- Ministral 3 14B reads more per request: 256k tokens against 128k.
- Only GPT-5.2 Chat offers reasoning, structured output, batch api.
- Only Ministral 3 14B offers self-hostable.
Which should you choose?
Each answer below comes straight from the published prices, specifications and independent benchmark results.
Self-hosting and data control
Choose Ministral 3 14B
Ministral 3 14B has open weights, so you can run it on your own servers; GPT-5.2 Chat is only available through its provider.
Specifications side by side
| GPT-5.2 Chat | Ministral 3 14B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Category | Language models | Language models |
| Status | Deprecated | Generally available |
| Headline price | No data | No data |
| Input | No data | No data |
| Output | No data | No data |
| Cached input | No data | No data |
| Context window | 128k | 256k |
| Max output | 16k | No data |
| Released | Dec 11, 2025 | December 2025 |
| Knowledge cutoff | August 2025 | No data |
| Licence | Proprietary | Open weights |
| Capabilities | Vision, Reasoning, Tool calling, Structured output, Batch API | Vision, Tool calling, Self-hostable |
| API model id | gpt-5.2-chat-latest | ministral-14b-2512 |
Benchmarks side by side
Leader in bold.
| Benchmark | GPT-5.2 Chat | Ministral 3 14B |
|---|---|---|
| Intelligence Index | No data | 6 |
| Terminal-Bench Hard | No data | 4.5% |
| SciCode | No data | 23.8% |
| GPQA Diamond | No data | 57.2% |
| Humanity's Last Exam | No data | 4.6% |
| IFBench (instruction following) | No data | 32% |
| τ²-Bench (agentic tool use) | No data | 27.2% |
| MMMU-Pro (visual reasoning) | No data | 49.8% |
| Long-context reasoning (AA-LCR) | No data | 26.3% |
Independent evaluations by Artificial Analysis, run the same way for every model, at the reasoning setting shown. Percentages unless marked as an index.
Frequently asked questions
Should I choose GPT-5.2 Chat or Ministral 3 14B?
Choose Ministral 3 14B for very long inputs and self-hosting and data control; on the other points the two are level or the data is missing.
Which is cheaper, GPT-5.2 Chat or Ministral 3 14B?
A price comparison is not possible: one of them has no comparable published price.
Which has the larger context window, GPT-5.2 Chat or Ministral 3 14B?
Ministral 3 14B reads more per request: 256k tokens against 128k.
What is the difference between GPT-5.2 Chat and Ministral 3 14B?
GPT-5.2 Chat is made by OpenAI and Ministral 3 14B by Mistral AI. A price comparison is not possible: one of them has no comparable published price. Ministral 3 14B reads more per request: 256k tokens against 128k. Only GPT-5.2 Chat offers reasoning, structured output, batch api. Only Ministral 3 14B offers self-hostable.