Very long inputs
Choose GPT-5.2-Codex
GPT-5.2-Codex reads up to 400k tokens per request, against 256k for Ministral 3 14B.
Choose GPT-5.2-Codex for very long inputs, agentic coding, tool use and support agents, reasoning over long documents and the latest release. Choose Ministral 3 14B for self-hosting and data control.
Each answer below comes straight from the published prices, specifications and independent benchmark results.
Choose GPT-5.2-Codex
GPT-5.2-Codex reads up to 400k tokens per request, against 256k for Ministral 3 14B.
Choose GPT-5.2-Codex
GPT-5.2-Codex scores 37.1% on Terminal-Bench Hard, against 4.5% for Ministral 3 14B.
Choose GPT-5.2-Codex
GPT-5.2-Codex scores 92.1% on τ²-Bench (agentic tool use), against 27.2% for Ministral 3 14B.
Choose GPT-5.2-Codex
GPT-5.2-Codex scores 82.3% on Long-context reasoning (AA-LCR), against 26.3% for Ministral 3 14B.
Choose Ministral 3 14B
Ministral 3 14B has open weights, so you can run it on your own servers; GPT-5.2-Codex is only available through its provider.
Choose GPT-5.2-Codex
GPT-5.2-Codex is the newer release (Jan 14, 2026, against December 2025 for Ministral 3 14B).
| GPT-5.2-Codex | 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 | 400k | 256k |
| Max output | 128k | No data |
| Released | Jan 14, 2026 | 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-codex | ministral-14b-2512 |
Leader in bold.
| Benchmark | GPT-5.2-Codex | Ministral 3 14B |
|---|---|---|
| Terminal-Bench Hard | 37.1% | 4.5% |
| GPQA Diamond | 89.9% | 57.2% |
| Humanity's Last Exam | 35.7% | 4.6% |
| IFBench (instruction following) | 77.6% | 32% |
| τ²-Bench (agentic tool use) | 92.1% | 27.2% |
| MMMU-Pro (visual reasoning) | 76.3% | 49.8% |
| Long-context reasoning (AA-LCR) | 82.3% | 26.3% |
| Intelligence Index | No data | 6 |
| SciCode | No data | 23.8% |
Independent evaluations by Artificial Analysis, run the same way for every model, at the reasoning setting shown. Percentages unless marked as an index.
Choose GPT-5.2-Codex for very long inputs, agentic coding, tool use and support agents, reasoning over long documents and the latest release. Choose Ministral 3 14B for self-hosting and data control.
A price comparison is not possible: one of them has no comparable published price.
GPT-5.2-Codex reads more per request: 400k tokens against 256k.
GPT-5.2-Codex 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. GPT-5.2-Codex reads more per request: 400k tokens against 256k. GPT-5.2-Codex is the newer model (Jan 14, 2026, against December 2025). Only GPT-5.2-Codex offers reasoning, structured output, batch api. Only Ministral 3 14B offers self-hostable.
GPT-5.2-Codex scores 37.1% on Terminal-Bench Hard, against 4.5% for Ministral 3 14B.
GPT-5.2-Codex was released on Jan 14, 2026 and Ministral 3 14B on December 2025.