Codex Mini vs GPT-4 Turbo

Compare OpenAI and OpenAI AI models

OpenAI

Codex Mini

OpenAI

GPT-4 Turbo

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Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Codex Mini

Per Request:$0.004500

Daily:$0.45

Monthly:$13.50

Yearly:$164.25

GPT-4 Turbo

Per Request:$0.025

Daily:$2.50

Monthly:$75.00

Yearly:$912.50

Cost Differences

+$0.0205

Per Request

+$2.05

Daily

+$61.50

Monthly

+$748.25

Yearly

GPT-4 Turbo costs more than Codex Mini

Feature Comparison

Feature	Codex Mini	GPT-4 Turbo
Provider	OpenAI	OpenAI
Input Price	$1.50/1M tokens	$10.00/1M tokens
Output Price	$6.00/1M tokens	$30.00/1M tokens
Context Window	200,000 tokens	128,000 tokens
Max Output	32,768 tokens	4,096 tokens
Category	efficient	flagship
Capabilities	textcodereasoning	textvisioncode
Release Date	2/2/2026	4/9/2024

Codex Mini vs GPT-4 Turbo: Which Should You Choose?

Choosing between Codex Mini and GPT-4 Turbo depends on your priorities: cost efficiency, context length, or raw capability. Codex Mini is the more affordable option at $1.50/1M input tokens — 85% cheaper than GPT-4 Turbo. Meanwhile, Codex Mini offers a significantly larger context window at 200,000 tokens vs 128,000 for GPT-4 Turbo.

These models target different tiers: Codex Mini is a efficient model while GPT-4 Turbo is flagship. This means they're optimized for different workloads. GPT-4 Turbo targets more demanding workloads, while Codex Mini provides a cost-effective option for everyday tasks.

Output costs matter too. Codex Mini charges $6.00/1M output tokens vs $30.00 for GPT-4 Turbo. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Codex Mini has the edge here at $6.00/1M output tokens.

Multimodal capabilities: GPT-4 Turbo supports vision (image inputs) while Codex Mini is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Codex Mini when:

• Budget is a primary concern
• You need a larger context window (200,000 tokens)
• You need longer outputs (up to 32,768 tokens)
• You're already using OpenAI's API ecosystem
• You're running high-volume, latency-sensitive workloads

Choose GPT-4 Turbo when:

• You're already using OpenAI's API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Codex Mini (OpenAI)

Cost Calculator

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GPT-4 Turbo (OpenAI)

Cost Calculator

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Frequently Asked Questions

Which is cheaper, Codex Mini or GPT-4 Turbo?▼

Codex Mini is cheaper for input tokens at $1.50 per million tokens vs $10.00 for GPT-4 Turbo — that's 85% savings on input costs.

What is the context window difference between Codex Mini and GPT-4 Turbo?▼

Codex Mini supports 200,000 tokens while GPT-4 Turbo supports 128,000 tokens — a difference of 72,000 tokens in favor of Codex Mini.

Which model is better for AI Chatbot?▼

Both models support text. For ai chatbot, Codex Mini is the lower-cost option, while Codex Mini offers a larger context window (200,000 vs 128,000 tokens). Choose Codex Mini for budget sensitivity or Codex Mini for longer context tasks.

Which model has better overall pricing for heavy usage?▼

At 100 requests/day with 1,000 input and 500 output tokens each, Codex Mini costs about $13.50/month and GPT-4 Turbo costs about $75.00/month. Overall, Codex Mini has lower combined input + output rates ($1.50 in, $6.00 out) vs GPT-4 Turbo.