Codex Mini

OpenAI chatvisionreasoningcode Long

API ID: openai/codex-mini

Compare Calculate
Input Price
$1.50
/1M tokens
Output Price
$6.00
/1M tokens

About Codex Mini

Codex Mini is OpenAI's compact code generation model, optimized for efficient coding assistance. The model delivers good performance on code completion, generation, and explanation tasks while maintaining fast response times. Codex Mini is ideal for IDE integrations and real-time coding assistance where speed matters. It handles common programming tasks effectively while being more cost-efficient than larger models. For developers building coding tools requiring quick responses, Codex Mini provides practical code assistance.

💰
Price Ranking
#877 lowest price among 950 Chat models

Model Specifications

Context Length
200k
Max Output
—
Release Date
2025-05-16
Capabilities
chat vision reasoning code
Input Modalities
imagetext
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Code generation, debugging, code review, refactoring
  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Simple Q&A (cheaper models available)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$2.47
/month
50 conversations/day, ~500 tokens each
Code Copilot
$21.60
/month
200 completions/day, ~1k tokens each
Customer Service Bot
$76.50
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$105.75
/month
500 analyses/day, ~2k tokens each
Calculate Your Custom Usage

OpenAI Model Lineup

Compare all models from OpenAI to find the best fit

Model Input Output Context Capabilities
Codex Mini Current Free Free 200k chat vision reasoning code
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GPT-3.5 Turbo 16k (older v1106) Free Free 16k chat
GPT-4 32k Free Free 33k chat
GPT-4 32k Free Free 33k chat
GPT-4 32k (older v0314) Free Free 33k chat
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🚀 Quick Start

Get started with Codex Mini API

OpenAI Python SDK 
from openai import OpenAI
client = OpenAI()

response = client.chat.completions.create(
    model="openai/codex-mini",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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