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o3-mini vs o4-mini

Pricing verdict: o3-mini vs o4-mini: pricing is a tie at $1.10/M input and $4.40/M output. The real choice is context: o4-mini is better for long-context tasks (2,000,000 tokens vs 500,000).

Direct answer: pricing is a tie. Choose o4-mini for the larger 2M context window, or pick o3-mini if 500K is already enough for your workload.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.

OpenAI
o3-mini
vs
OpenAI
o4-mini

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

o3-mini

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

o4-mini

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

Cost Differences

$0.00
Per Request
$0.00
Daily
$0.00
Monthly
$0.00
Yearly

Both models cost the same at the default workload.

Quick Recommendation

Direct API pricing is a tie at the default workload: both land around $9.90/month. Pick o4-mini if you need the larger 2M context window; otherwise choose the model that better fits your workflow.

Feature Comparison

Featureo3-minio4-mini
ProviderOpenAIOpenAI
Input Price$1.10/1M tokens$1.10/1M tokens
Output Price$4.40/1M tokens$4.40/1M tokens
Context Window500,000 tokens2,000,000 tokens
Max Output65,536 tokens131,072 tokens
Categoryreasoningreasoning
Capabilities
textreasoningcode
textreasoningcode
Release Date1/31/20254/16/2025

o3-mini vs o4-mini: Which Should You Choose?

Choosing between o3-mini and o4-mini depends on your priorities: cost efficiency, context length, or raw capability. Both models cost the same on input and output tokens, so raw price is a tie. Meanwhile, o4-mini offers a significantly larger context window at 2,000,000 tokens vs 500,000 for o3-mini.

Both models are in the reasoning category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — direct API pricing stays tied, so the real decision is context, latency, and provider fit.

Output costs matter too. o3-mini charges $4.40/1M output tokens vs $4.40 for o4-mini.

Best Use Cases

Choose o3-mini when:

  • • You're already using OpenAI's API ecosystem

Choose o4-mini when:

  • • You need a larger context window (2,000,000 tokens)
  • • You need longer outputs (up to 131,072 tokens)
  • • You're already using OpenAI's API ecosystem

Pros and Caveats at a Glance

o3-mini

  • Input pricing: $1.10/M tokens
  • Output pricing: $4.40/M tokens
  • Context window: 500,000 tokens
  • Max output: 65,536 tokens

Watch out for

  • Smaller context window than o4-mini

o4-mini

  • Input pricing: $1.10/M tokens
  • Output pricing: $4.40/M tokens
  • Context window: 2,000,000 tokens
  • Max output: 131,072 tokens

Watch out for

  • Trade-offs are minor in this matchup.

Try Different Scenarios

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

o3-mini (OpenAI)

o4-mini (OpenAI)

Start using o3-mini today

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Frequently Asked Questions

Which is cheaper, o3-mini or o4-mini?
They are priced the same at $1.10 per million input tokens and $4.40 per million output tokens. The real difference is context and workload fit: o4-mini gives you 2,000,000 tokens of context vs 500,000 for o3-mini.
What is the context window difference between o3-mini and o4-mini?
o3-mini supports 500,000 tokens while o4-mini supports 2,000,000 tokens — a difference of 1,500,000 tokens in favor of o4-mini.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning, and direct token pricing is tied. For ai agent / agentic workflows, start with o4-mini if you need the larger 2,000,000-token context window; otherwise choose the model whose provider, tools, or latency profile fits better.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, both models land at about $9.90/month. There is no direct price winner at this workload, so decide based on context window, capabilities, and provider fit.

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