Last verified 2025-09-22 (left) · 2025-09-22 (right)

GPT-4o vs o3 — Pricing & Capability Comparison

GPT-4o charges $2.50 per million input tokens and $10.00 per million output tokens. o3 comes in at $2.00 / $8.00. Context windows span 128K vs 200K tokens respectively.

Input price (per 1M)

GPT-4o

$2.50

o3

$2.00

o3 leads here

Output price (per 1M)

GPT-4o

$10.00

o3

$8.00

o3 leads here

Context window

GPT-4o

128,000 tokens

o3

200,000 tokens

o3 leads here

Cached input

GPT-4o

$1.250

o3

Not published

GPT-4o leads here

Cost comparison for 10K-token workloads

Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.

ScenarioGPT-4oo3GPT-4o cached
Balanced conversation
50% input · 50% output
$0.0625$0.0500$0.0563
Input-heavy workflow
80% input · 20% output
$0.0400$0.0320$0.0300
Generation heavy
30% input · 70% output
$0.0775$0.0620$0.0738
Cached system prompt
90% cached input · 10% fresh output
$0.0325$0.0260$0.0212

Frequently asked questions

Which model is cheaper per million input tokens?

o3 costs $2.00 per million input tokens versus $2.50 for GPT-4o.

How do output prices compare?

o3 charges $8.00 per million output tokens, while GPT-4o costs $10.00 per million.

Which model supports a larger context window?

o3 offers 200,000 tokens (200K) versus 128K for GPT-4o.

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