Last verified 2025-09-22 (left) · 2025-09-22 (right)
GPT-4o (fine-tuned) vs o4-mini — Pricing & Capability Comparison
GPT-4o (fine-tuned) charges $3.75 per million input tokens and $15.00 per million output tokens. o4-mini comes in at $1.10 / $4.40. Context windows span 128K vs 200K tokens respectively.
TL;DR — Quick Comparison
- ✓o4-mini is cheaper overall: $5.50 per 1M tokens (in+out) vs $18.75 for GPT-4o (fine-tuned) — saves $13.25 per 1M tokens
- ✓Input pricing: GPT-4o (fine-tuned) $3.75/1M vs o4-mini $1.10/1M
- ✓Output pricing: GPT-4o (fine-tuned) $15.00/1M vs o4-mini $4.40/1M
- ✓Context window: o4-mini 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
o4-mini
$1.10
o4-mini leads here
Output price (per 1M)
GPT-4o (fine-tuned)
$15.00
o4-mini
$4.40
o4-mini leads here
Context window
GPT-4o (fine-tuned)
128,000 tokens
o4-mini
200,000 tokens
o4-mini leads here
Cached input
GPT-4o (fine-tuned)
$1.875
o4-mini
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) | o4-mini | GPT-4o (fine-tuned) cached |
|---|---|---|---|
Balanced conversation 50% input · 50% output | $0.0938 | $0.0275 | $0.0844 |
Input-heavy workflow 80% input · 20% output | $0.0600 | $0.0176 | $0.0450 |
Generation heavy 30% input · 70% output | $0.116 | $0.0341 | $0.111 |
Cached system prompt 90% cached input · 10% fresh output | $0.0487 | $0.0143 | $0.0319 |
Frequently asked questions
Which is cheaper: GPT-4o (fine-tuned) or o4-mini?
o4-mini is cheaper for input tokens at $1.10 per 1M tokens compared to $3.75. For output, o4-mini costs $4.40 per 1M tokens versus $15.00 for GPT-4o (fine-tuned).
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 o4-mini?
o4-mini pricing: $1.10 per 1M input tokens and $4.40 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. o4-mini costs $0.0011 input / $0.0044 output. This is useful for calculating small-scale usage costs.
Which model supports a larger context window?
o4-mini 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 o4-mini would cost $19.80. o4-mini 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%. o4-mini does not publish cached pricing.
Which model is best for my use case?
Choose o4-mini for cost-sensitive applications with high input volume. Choose o4-mini 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.