Compare Ministral 3 14B 2512 from Mistral AI and GPT-5.1-Codex-Mini from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.


Ministral 3 14B 2512 and GPT-5.1-Codex-Mini are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
Ministral 3 14B 2512, from Mistral AI, has a 262,144-token context window and is priced at $0.20/M tokens input, $0.20/M tokens output on OpenRouter.
GPT-5.1-Codex-Mini, from OpenAI, has a 400,000-token context window and is priced at $0.25/M tokens input, $2/M tokens output on OpenRouter.
| Attribute | Ministral 3 14B 2512 | GPT-5.1-Codex-Mini |
|---|---|---|
| Input price | $0.20/M tokens | $0.25/M tokens |
| Output price | $0.20/M tokens | $2/M tokens |
| Context window | 262,144 tokens | 400,000 tokens |
| Intelligence Index | 6.0 | 20.4 |
| Coding Index | 14.4 | Not available |
| Agentic Index | 1.1 | Not available |
| Latency (p50) | 0.33 s | 5.42 s |
| Throughput (p50) | 85.0 tok/s | 50.5 tok/s |
Benchmark data updated
Ministral 3 14B 2512 is cheaper than GPT-5.1-Codex-Mini on OpenRouter: Ministral 3 14B 2512 costs $0.20/M tokens input and $0.20/M tokens output, while GPT-5.1-Codex-Mini costs $0.25/M tokens input and $2/M tokens output.
GPT-5.1-Codex-Mini has the longer context window at 400,000 tokens, compared with 262,144 tokens for Ministral 3 14B 2512.
Ministral 3 14B 2512 is faster on OpenRouter, generating a median 85.0 tokens per second compared with 50.5 tokens per second for GPT-5.1-Codex-Mini.