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o3 vs o3-pro

o3 vs o3-pro: o3 is cheaper for input-heavy usage ($2.00/M vs $20.00/M input tokens), while o3 is better for long-context tasks (1,000,000 tokens).

Direct answer: choose o3 for lower token spend and choose o3 when your workload needs longer context.

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

OpenAI
o3
vs
OpenAI
o3-pro

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

o3

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

o3-pro

Per Request:$0.06
Daily:$6.00
Monthly:$180.00
Yearly:$2,190.00

Cost Differences

+$0.054
Per Request
+$5.40
Daily
+$162.00
Monthly
+$1,971.00
Yearly

o3-pro costs more than o3

Quick Recommendation

Winner for direct API pricing: o3. At the default workload, o3 saves about $162.00/month ($1,971.00/year) versus o3-pro.

Feature Comparison

Featureo3o3-pro
ProviderOpenAIOpenAI
Input Price$2.00/1M tokens$20.00/1M tokens
Output Price$8.00/1M tokens$80.00/1M tokens
Context Window1,000,000 tokens1,000,000 tokens
Max Output131,072 tokens131,072 tokens
Categoryreasoningreasoning
Capabilities
textreasoningvisioncode
textreasoningcode
Release Date4/16/20256/10/2025

o3 vs o3-pro: Which Should You Choose?

Choosing between o3 and o3-pro depends on your priorities: cost efficiency, context length, or raw capability. o3 is the more affordable option at $2.00/1M input tokens90% cheaper than o3-pro.

Both models are in the reasoning category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: o3 would save you roughly $16,200.00/month compared to o3-pro. For startups and indie developers, that difference can be significant.

Output costs matter too. o3 charges $8.00/1M output tokens vs $80.00 for o3-pro. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o3 has the edge here at $8.00/1M output tokens.

Multimodal capabilities: o3 supports vision (image inputs) while o3-pro is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose o3 when:

  • • Budget is a primary concern
  • • You need more capabilities (vision)
  • • You're already using OpenAI's API ecosystem

Choose o3-pro when:

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

Pros and Caveats at a Glance

o3

  • Input pricing: $2.00/M tokens
  • Output pricing: $8.00/M tokens
  • Context window: 1,000,000 tokens
  • Max output: 131,072 tokens

Watch out for

  • Trade-offs are minor in this matchup.

o3-pro

  • Input pricing: $20.00/M tokens
  • Output pricing: $80.00/M tokens
  • Context window: 1,000,000 tokens
  • Max output: 131,072 tokens

Watch out for

  • Higher input cost than o3
  • Higher output cost than o3

Try Different Scenarios

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

o3 (OpenAI)

o3-pro (OpenAI)

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Frequently Asked Questions

Which is cheaper, o3 or o3-pro?
o3 is cheaper for input tokens at $2.00 per million tokens vs $20.00 for o3-pro — that's 90% savings on input costs.
What is the context window difference between o3 and o3-pro?
o3 supports 1,000,000 tokens while o3-pro supports 1,000,000 tokens — a difference of 0 tokens in favor of o3.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, o3 is the lower-cost option, while o3 offers a larger context window (1,000,000 vs 1,000,000 tokens). Choose o3 for budget sensitivity or o3 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, o3 costs about $18.00/month and o3-pro costs about $180.00/month. Overall, o3 has lower combined input + output rates ($2.00 in, $8.00 out) vs o3-pro.

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