Last verified 2025-09-22 (left) · 2025-09-22 (right)
GPT-4o (fine-tuned) vs o3-pro — Pricing & Capability Comparison
GPT-4o (fine-tuned) charges $3.75 per million input tokens and $15.00 per million output tokens. o3-pro comes in at $20.00 / $80.00. Context windows span 128K vs 200K tokens respectively.
TL;DR — Quick Comparison
- ✓GPT-4o (fine-tuned) is cheaper overall: $18.75 per 1M tokens (in+out) vs $100.00 for o3-pro — saves $81.25 per 1M tokens
- ✓Input pricing: GPT-4o (fine-tuned) $3.75/1M vs o3-pro $20.00/1M
- ✓Output pricing: GPT-4o (fine-tuned) $15.00/1M vs o3-pro $80.00/1M
- ✓Context window: o3-pro offers more (200K vs 128K)
- ✓Use our calculator below to estimate costs for your specific usage pattern
Input price (per 1M)
GPT-4o (fine-tuned)
$3.75
o3-pro
$20.00
GPT-4o (fine-tuned) leads here
Output price (per 1M)
GPT-4o (fine-tuned)
$15.00
o3-pro
$80.00
GPT-4o (fine-tuned) leads here
Context window
GPT-4o (fine-tuned)
128,000 tokens
o3-pro
200,000 tokens
o3-pro leads here
Cached input
GPT-4o (fine-tuned)
$1.875
o3-pro
Not published
GPT-4o (fine-tuned) leads here
Cost comparison for 10K-token workloads
Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.
| Scenario | GPT-4o (fine-tuned) | o3-pro | GPT-4o (fine-tuned) cached |
|---|---|---|---|
Balanced conversation 50% input · 50% output | $0.0938 | $0.500 | $0.0844 |
Input-heavy workflow 80% input · 20% output | $0.0600 | $0.320 | $0.0450 |
Generation heavy 30% input · 70% output | $0.116 | $0.620 | $0.111 |
Cached system prompt 90% cached input · 10% fresh output | $0.0487 | $0.260 | $0.0319 |
Frequently asked questions
Which is cheaper: GPT-4o (fine-tuned) or o3-pro?
GPT-4o (fine-tuned) is cheaper for input tokens at $3.75 per 1M tokens compared to $20.00. For output, GPT-4o (fine-tuned) costs $15.00 per 1M tokens versus $80.00 for o3-pro.
What is the cost per 1M tokens for GPT-4o (fine-tuned)?
GPT-4o (fine-tuned) pricing: $3.75 per 1M input tokens and $15.00 per 1M output tokens. Context window: 128,000 tokens.
What is the cost per 1M tokens for o3-pro?
o3-pro pricing: $20.00 per 1M input tokens and $80.00 per 1M output tokens. Context window: 200,000 tokens.
How much does it cost per 1K tokens?
Per 1K tokens: GPT-4o (fine-tuned) costs $0.0037 input / $0.0150 output. o3-pro costs $0.0200 input / $0.0800 output. This is useful for calculating small-scale usage costs.
Which model supports a larger context window?
o3-pro offers 200,000 tokens (200K) versus 128K for GPT-4o (fine-tuned).
What is the estimated monthly cost for typical usage?
For a typical workload of 10M input + 2M output tokens per month: GPT-4o (fine-tuned) would cost approximately $67.50, while o3-pro would cost $360.00. GPT-4o (fine-tuned) is more economical for this usage pattern.
Do these models support prompt caching?
GPT-4o (fine-tuned) supports prompt caching at $1.875 per 1M cached tokens, reducing costs for repeated context by up to 50%. o3-pro does not publish cached pricing.
Which model is best for my use case?
Choose GPT-4o (fine-tuned) for cost-sensitive applications with high input volume. Choose o3-pro if you need 200K context for long documents or conversations. Consider prompt caching if you have repeated context. Use our token calculator to model your specific usage pattern.