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GPT-5.3 Codex vs o1-mini

Compare OpenAI and OpenAI AI models

OpenAI
GPT-5.3 Codex
vs
OpenAI
o1-mini

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

o1-mini

Per Request:$0.003300
Daily:$0.33
Monthly:$9.90
Yearly:$120.45

Cost Differences

$0.005450
Per Request
$0.545
Daily
$16.35
Monthly
$198.925
Yearly

o1-mini costs less than GPT-5.3 Codex

Feature Comparison

FeatureGPT-5.3 Codexo1-mini
ProviderOpenAIOpenAI
Input Price$1.75/1M tokens$1.10/1M tokens
Output Price$14.00/1M tokens$4.40/1M tokens
Context Window256,000 tokens128,000 tokens
Max Output32,768 tokens65,536 tokens
Categorycodingreasoning
Capabilities
textcode
textreasoning
Release Date3/1/20269/12/2024

GPT-5.3 Codex vs o1-mini: Which Should You Choose?

Choosing between GPT-5.3 Codex and o1-mini depends on your priorities: cost efficiency, context length, or raw capability. o1-mini is the more affordable option at $1.10/1M input tokens37% 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 o1-mini.

These models target different tiers: GPT-5.3 Codex is a coding model while o1-mini is reasoning. This means they're optimized for different workloads. o1-mini 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 $4.40 for o1-mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o1-mini has the edge here at $4.40/1M output tokens.

Best Use Cases

Choose GPT-5.3 Codex when:

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

Choose o1-mini when:

  • • Budget is a primary concern
  • • You need longer outputs (up to 65,536 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-5.3 Codex (OpenAI)

o1-mini (OpenAI)

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Frequently Asked Questions

Which is cheaper, GPT-5.3 Codex or o1-mini?
o1-mini is cheaper for input tokens at $1.10 per million tokens vs $1.75 for GPT-5.3 Codex — that's 37% savings on input costs.
What is the context window difference between GPT-5.3 Codex and o1-mini?
GPT-5.3 Codex supports 256,000 tokens while o1-mini supports 128,000 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, o1-mini is the lower-cost option, while GPT-5.3 Codex offers a larger context window (256,000 vs 128,000 tokens). Choose o1-mini 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 o1-mini costs about $9.90/month. Overall, o1-mini has lower combined input + output rates ($1.10 in, $4.40 out) vs GPT-5.3 Codex.

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