GPT-4.1 nano vs GPT-5.3 Codex

Compare OpenAI and OpenAI AI models

OpenAI

GPT-4.1 nano

OpenAI

GPT-5.3 Codex

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

GPT-4.1 nano

Per Request:$0.000300

Daily:$0.03

Monthly:$0.90

Yearly:$10.95

GPT-5.3 Codex

Per Request:$0.008750

Daily:$0.875

Monthly:$26.25

Yearly:$319.375

Cost Differences

+$0.008450

Per Request

+$0.845

Daily

+$25.35

Monthly

+$308.425

Yearly

GPT-5.3 Codex costs more than GPT-4.1 nano

Feature Comparison

Feature	GPT-4.1 nano	GPT-5.3 Codex
Provider	OpenAI	OpenAI
Input Price	$0.10/1M tokens	$1.75/1M tokens
Output Price	$0.40/1M tokens	$14.00/1M tokens
Context Window	128,000 tokens	256,000 tokens
Max Output	8,192 tokens	32,768 tokens
Category	efficient	coding
Capabilities	text	textcode
Release Date	4/14/2025	3/1/2026

GPT-4.1 nano vs GPT-5.3 Codex: Which Should You Choose?

Choosing between GPT-4.1 nano and GPT-5.3 Codex depends on your priorities: cost efficiency, context length, or raw capability. GPT-4.1 nano is the more affordable option at $0.10/1M input tokens — 94% cheaper than GPT-5.3 Codex. Meanwhile, GPT-5.3 Codex offers a significantly larger context window at 256,000 tokens vs 128,000 for GPT-4.1 nano.

These models target different tiers: GPT-4.1 nano is a efficient model while GPT-5.3 Codex is coding. This means they're optimized for different workloads. GPT-5.3 Codex targets more demanding workloads, while GPT-4.1 nano provides a cost-effective option for everyday tasks.

Output costs matter too. GPT-4.1 nano charges $0.40/1M output tokens vs $14.00 for GPT-5.3 Codex. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-4.1 nano has the edge here at $0.40/1M output tokens.

Best Use Cases

Choose GPT-4.1 nano when:

• Budget is a primary concern
• You're already using OpenAI's API ecosystem
• You're running high-volume, latency-sensitive workloads

Choose GPT-5.3 Codex when:

• You need a larger context window (256,000 tokens)
• You need more capabilities (code)
• You need longer outputs (up to 32,768 tokens)
• 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-4.1 nano (OpenAI)

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GPT-5.3 Codex (OpenAI)

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Frequently Asked Questions

Which is cheaper, GPT-4.1 nano or GPT-5.3 Codex?▼

GPT-4.1 nano is cheaper for input tokens at $0.10 per million tokens vs $1.75 for GPT-5.3 Codex — that's 94% savings on input costs.

What is the context window difference between GPT-4.1 nano and GPT-5.3 Codex?▼

GPT-4.1 nano supports 128,000 tokens while GPT-5.3 Codex supports 256,000 tokens — a difference of 128,000 tokens in favor of GPT-5.3 Codex.

Which model is better for AI Chatbot?▼

Both models support text. For ai chatbot, GPT-4.1 nano is the lower-cost option, while GPT-5.3 Codex offers a larger context window (256,000 vs 128,000 tokens). Choose GPT-4.1 nano 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-4.1 nano costs about $0.90/month and GPT-5.3 Codex costs about $26.25/month. Overall, GPT-4.1 nano has lower combined input + output rates ($0.10 in, $0.40 out) vs GPT-5.3 Codex.