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Codex Mini vs o4-mini Deep Research

Compare OpenAI and OpenAI AI models

OpenAI
Codex Mini
vs
OpenAI
o4-mini Deep Research

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

o4-mini Deep Research

Per Request:$0.006000
Daily:$0.60
Monthly:$18.00
Yearly:$219.00

Cost Differences

+$0.001500
Per Request
+$0.15
Daily
+$4.50
Monthly
+$54.75
Yearly

o4-mini Deep Research costs more than Codex Mini

Feature Comparison

FeatureCodex Minio4-mini Deep Research
ProviderOpenAIOpenAI
Input Price$1.50/1M tokens$2.00/1M tokens
Output Price$6.00/1M tokens$8.00/1M tokens
Context Window200,000 tokens200,000 tokens
Max Output32,768 tokens32,768 tokens
Categoryefficientreasoning
Capabilities
textcodereasoning
textreasoningcode
Release Date2/2/20266/26/2025

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

Choosing between Codex Mini and o4-mini Deep Research depends on your priorities: cost efficiency, context length, or raw capability. Codex Mini is the more affordable option at $1.50/1M input tokens25% cheaper than o4-mini Deep Research.

These models target different tiers: Codex Mini is a efficient 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 Codex Mini provides a cost-effective option for everyday tasks.

Output costs matter too. Codex Mini charges $6.00/1M 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. Codex Mini has the edge here at $6.00/1M output tokens.

Best Use Cases

Choose Codex Mini when:

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

Choose o4-mini Deep Research 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)

o4-mini Deep Research (OpenAI)

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Frequently Asked Questions

Which is cheaper, Codex Mini or o4-mini Deep Research?
Codex Mini is cheaper for input tokens at $1.50 per million tokens vs $2.00 for o4-mini Deep Research — that's 25% savings on input costs.
What is the context window difference between Codex Mini and o4-mini Deep Research?
Codex Mini supports 200,000 tokens while o4-mini Deep Research supports 200,000 tokens — a difference of 0 tokens in favor of Codex Mini.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, Codex Mini is the lower-cost option, while Codex Mini offers a larger context window (200,000 vs 200,000 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 o4-mini Deep Research costs about $18.00/month. Overall, Codex Mini has lower combined input + output rates ($1.50 in, $6.00 out) vs o4-mini Deep Research.

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