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GPT-5.5 Pro vs o3 Pro: reasoning-tier API pricing compared

o3 Pro is significantly cheaper on both inputs and outputs, representing a much more economical high-end reasoning option.

Pro-tier specialized reasoning comparison.

For complex planning and specialized deep thinking, Pro-tier reasoning models are unparalleled. Let's look at the pricing for GPT-5.5 Pro and o3 Pro.

By TechCompare · Updated

Cost Comparison

Based on 100,000 input tokens (50% cached), 5,000 output tokens, and 100 requests.

Option A
GPT-5.5 Pro
Wins 0 of 4 compared specs
Option B
o3 Pro
Wins 3 of 4 compared specs

Side-by-side specs

SpecGPT-5.5 Proo3 Pro
Input Cost (per M)$30.00$20.00 (better on this spec)
Output Cost (per M)$180.00$80.00 (better on this spec)
Cached Input (per M)$30.00$20.00 (better on this spec)
Batch Discount50%50%

How they differ

GPT-5.5 Pro costs $30.00 per million input tokens and $180.00 per million output tokens, without caching discounts. o3 Pro is priced at $20.00 per million input tokens and $80.00 per million output tokens, also without caching discounts.

Verdict

On the base rows o3 Pro runs $20.00/M input against $30.00/M and $80.00/M output against $180.00/M, which is 1.5x cheaper on input and 2.25x cheaper on output. Neither model offers a cache discount, so cached input mirrors the base gap, and the 50% batch mode preserves the same ratio. At 100 reasoning calls a day, that compiles to roughly $10,500 a month saved on o3 Pro. The choice between them is about reasoning ergonomics and OpenAI-tool integration, not the price line.

Which should you pick?

Choose GPT-5.5 Pro

OpenAI-integrated advanced software tasks and custom planning layers.

Choose o3 Pro

High-end reasoning, complex math proofs, and cost-effective deep thinking pipelines.

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Frequently asked questions

Is o3 Pro or GPT-5.5 Pro cheaper for deep reasoning workloads?
o3 Pro. Both are premium reasoning tier with no caching discount, but o3 Pro charges $20.00/M input and $80.00/M output while GPT-5.5 Pro charges $30.00/M input and $180.00/M output. That is 1.5x cheaper on input and 2.25x cheaper on output. On a 100-request deep reasoning pipeline, o3 Pro saves roughly $10,500 per month.
Why do neither GPT-5.5 Pro nor o3 Pro offer caching discounts?
Pro-tier reasoning models prioritize compute freshness over cache reuse. The reasoning tokens are generated per-call, so prompt caching doesn't apply the way it does on standard chat tiers. Both models offer a 50% batch discount, which is the main lever for async cost reduction.
What does 50% batch discount save on each model?
o3 Pro batch drops to $10/M input and $40/M output. GPT-5.5 Pro batch drops to $15/M input and $90/M output. o3 Pro stays cheaper in batch mode. Use batch mode for non-latency-critical reasoning pipelines.