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o1 vs o3-pro

o1 vs o3-pro: o1 is cheaper for input-heavy usage ($15.00/M vs $20.00/M input tokens), while o3-pro is better for long-context tasks (1,000,000 tokens).

Direct answer: choose o1 for lower token spend and choose o3-pro 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
o1
vs
OpenAI
o3-pro

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

o1

Per Request:$0.045
Daily:$4.50
Monthly:$135.00
Yearly:$1,642.50

o3-pro

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

Cost Differences

+$0.015
Per Request
+$1.50
Daily
+$45.00
Monthly
+$547.50
Yearly

o3-pro costs more than o1

Quick Recommendation

Winner for direct API pricing: o1. At the default workload, o1 saves about $45.00/month ($547.50/year) versus o3-pro.

Feature Comparison

Featureo1o3-pro
ProviderOpenAIOpenAI
Input Price$15.00/1M tokens$20.00/1M tokens
Output Price$60.00/1M tokens$80.00/1M tokens
Context Window200,000 tokens1,000,000 tokens
Max Output65,536 tokens131,072 tokens
Categoryreasoningreasoning
Capabilities
textreasoning
textreasoningcode
Release Date9/12/20246/10/2025

o1 vs o3-pro: Which Should You Choose?

Choosing between o1 and o3-pro depends on your priorities: cost efficiency, context length, or raw capability. o1 is the more affordable option at $15.00/1M input tokens25% cheaper than o3-pro. Meanwhile, o3-pro offers a significantly larger context window at 1,000,000 tokens vs 200,000 for o1.

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: o1 would save you roughly $4,500.00/month compared to o3-pro. For startups and indie developers, that difference can be significant.

Output costs matter too. o1 charges $60.00/1M output tokens vs $80.00 for o3-pro. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o1 has the edge here at $60.00/1M output tokens.

Best Use Cases

Choose o1 when:

  • • Budget is a primary concern
  • • You're already using OpenAI's API ecosystem

Choose o3-pro when:

  • • You need a larger context window (1,000,000 tokens)
  • • You need more capabilities (code)
  • • You need longer outputs (up to 131,072 tokens)
  • • You're already using OpenAI's API ecosystem

Pros and Caveats at a Glance

o1

  • Input pricing: $15.00/M tokens
  • Output pricing: $60.00/M tokens
  • Context window: 200,000 tokens
  • Max output: 65,536 tokens

Watch out for

  • Smaller context window than o3-pro

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 o1
  • Higher output cost than o1

Try Different Scenarios

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

o1 (OpenAI)

o3-pro (OpenAI)

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Frequently Asked Questions

Which is cheaper, o1 or o3-pro?
o1 is cheaper for input tokens at $15.00 per million tokens vs $20.00 for o3-pro — that's 25% savings on input costs.
What is the context window difference between o1 and o3-pro?
o1 supports 200,000 tokens while o3-pro supports 1,000,000 tokens — a difference of 800,000 tokens in favor of o3-pro.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, o1 is the lower-cost option, while o3-pro offers a larger context window (1,000,000 vs 200,000 tokens). Choose o1 for budget sensitivity or o3-pro 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, o1 costs about $135.00/month and o3-pro costs about $180.00/month. Overall, o1 has lower combined input + output rates ($15.00 in, $60.00 out) vs o3-pro.

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