GPT-5.3 Codex vs o4-mini Deep Research

Compare OpenAI and OpenAI AI models

OpenAI

GPT-5.3 Codex

OpenAI

o4-mini Deep Research

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

GPT-5.3 Codex

Per Request:$0.008750

Daily:$0.875

Monthly:$26.25

Yearly:$319.375

o4-mini Deep Research

Per Request:$0.006000

Daily:$0.60

Monthly:$18.00

Yearly:$219.00

Cost Differences

$0.002750

Per Request

$0.275

Daily

$8.25

Monthly

$100.375

Yearly

o4-mini Deep Research costs less than GPT-5.3 Codex

Feature Comparison

Feature	GPT-5.3 Codex	o4-mini Deep Research
Provider	OpenAI	OpenAI
Input Price	$1.75/1M tokens	$2.00/1M tokens
Output Price	$14.00/1M tokens	$8.00/1M tokens
Context Window	256,000 tokens	200,000 tokens
Max Output	32,768 tokens	32,768 tokens
Category	coding	reasoning
Capabilities	textcode	textreasoningcode
Release Date	3/1/2026	6/26/2025

GPT-5.3 Codex vs o4-mini Deep Research: Which Should You Choose?

Choosing between GPT-5.3 Codex and o4-mini Deep Research depends on your priorities: cost efficiency, context length, or raw capability. o4-mini Deep Research is the more affordable option at $2.00/1M input tokens. Meanwhile, GPT-5.3 Codex offers a significantly larger context window at 256,000 tokens vs 200,000 for o4-mini Deep Research.

These models target different tiers: GPT-5.3 Codex is a coding model while o4-mini Deep Research is reasoning. This means they're optimized for different workloads. o4-mini Deep Research targets more demanding workloads, while GPT-5.3 Codex provides a cost-effective option for everyday tasks.

Output costs matter too. GPT-5.3 Codex charges $14.00/1M output tokens vs $8.00 for o4-mini Deep Research. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o4-mini Deep Research has the edge here at $8.00/1M output tokens.

Best Use Cases

Choose GPT-5.3 Codex when:

• Budget is a primary concern
• You need a larger context window (256,000 tokens)
• You're already using OpenAI's API ecosystem

Choose o4-mini Deep Research when:

• You need more capabilities (reasoning)
• You're already using OpenAI's API ecosystem

Try Different Scenarios

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

GPT-5.3 Codex (OpenAI)

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o4-mini Deep Research (OpenAI)

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Frequently Asked Questions

Which is cheaper, GPT-5.3 Codex or o4-mini Deep Research?▼

o4-mini Deep Research is cheaper for input tokens at $2.00 per million tokens vs $1.75 for GPT-5.3 Codex.

What is the context window difference between GPT-5.3 Codex and o4-mini Deep Research?▼

GPT-5.3 Codex supports 256,000 tokens while o4-mini Deep Research supports 200,000 tokens — a difference of 56,000 tokens in favor of GPT-5.3 Codex.

Which model is better for AI Chatbot?▼

Both models support text. For ai chatbot, o4-mini Deep Research is the lower-cost option, while GPT-5.3 Codex offers a larger context window (256,000 vs 200,000 tokens). Choose o4-mini Deep Research for budget sensitivity or GPT-5.3 Codex 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, GPT-5.3 Codex costs about $26.25/month and o4-mini Deep Research costs about $18.00/month. Overall, o4-mini Deep Research has lower combined input + output rates ($2.00 in, $8.00 out) vs GPT-5.3 Codex.