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  1. Home
  2. /
  3. Compare

Ministral 3 14B 2512 vs GPT-5.1-Codex-Mini

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.

Favicon for mistralai
Ministral 3 14B 2512
Favicon for openai
GPT-5.1-Codex-Mini
Favicon for mistralai
Ministral 3 14B 2512
Favicon for openai
GPT-5.1-Codex-Mini

Overview

Ministral 3 14B 2512
Author
Mistral AI
GPT-5.1-Codex-Mini
Author
OpenAI
Ministral 3 14B 2512
Context length
262Ktokens
GPT-5.1-Codex-Mini
Context length
400Ktokens
Ministral 3 14B 2512
Reasoning
GPT-5.1-Codex-Mini
Reasoning
Ministral 3 14B 2512
Input modalities
GPT-5.1-Codex-Mini
Input modalities
Ministral 3 14B 2512
Output modalities
GPT-5.1-Codex-Mini
Output modalities

Ministral 3 14B 2512 vs GPT-5.1-Codex-Mini: side-by-side summary

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.

Context window
  • Ministral 3 14B 2512: 262,144 tokens
  • GPT-5.1-Codex-Mini: 400,000 tokens
Price
  • Ministral 3 14B 2512: $0.20/M tokens input, $0.20/M tokens output
  • GPT-5.1-Codex-Mini: $0.25/M tokens input, $2/M tokens output
Provided by
  • Ministral 3 14B 2512: Mistral AI
  • GPT-5.1-Codex-Mini: OpenAI
  • Ministral 3 14B 2512 model details, providers and pricing
  • GPT-5.1-Codex-Mini model details, providers and pricing

Ministral 3 14B 2512 vs GPT-5.1-Codex-Mini at a glance

Ministral 3 14B 2512 vs GPT-5.1-Codex-Mini comparison
AttributeMinistral 3 14B 2512GPT-5.1-Codex-Mini
Input price$0.20/M tokens$0.25/M tokens
Output price$0.20/M tokens$2/M tokens
Context window262,144 tokens400,000 tokens
Intelligence Index6.020.4
Coding Index14.4Not available
Agentic Index1.1Not available
Latency (p50)0.35 s3.58 s
Throughput (p50)69.0 tok/s66.0 tok/s

Benchmark data updated Oct 5, 2026

Frequently asked questions

Is Ministral 3 14B 2512 cheaper than GPT-5.1-Codex-Mini?

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.

Which has the longer context window, Ministral 3 14B 2512 or GPT-5.1-Codex-Mini?

GPT-5.1-Codex-Mini has the longer context window at 400,000 tokens, compared with 262,144 tokens for Ministral 3 14B 2512.

Which is faster, Ministral 3 14B 2512 or GPT-5.1-Codex-Mini?

Ministral 3 14B 2512 is faster on OpenRouter, generating a median 69.0 tokens per second compared with 66.0 tokens per second for GPT-5.1-Codex-Mini.