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

GPT-4o (fine-tuned) vs GPT-4o mini — Pricing & Capability Comparison

GPT-4o (fine-tuned) charges $3.75 per million input tokens and $15.00 per million output tokens. GPT-4o mini comes in at $0.15 / $0.60. Context windows span 128K vs 128K tokens respectively.

TL;DR — Quick Comparison

  • GPT-4o mini is cheaper overall: $0.75 per 1M tokens (in+out) vs $18.75 for GPT-4o (fine-tuned) — saves $18.00 per 1M tokens
  • Input pricing: GPT-4o (fine-tuned) $3.75/1M vs GPT-4o mini $0.15/1M
  • Output pricing: GPT-4o (fine-tuned) $15.00/1M vs GPT-4o mini $0.60/1M
  • Context window: GPT-4o (fine-tuned) offers more (128K vs 128K)
  • Use our calculator below to estimate costs for your specific usage pattern

Input price (per 1M)

GPT-4o (fine-tuned)

$3.75

GPT-4o mini

$0.15

GPT-4o mini leads here

Output price (per 1M)

GPT-4o (fine-tuned)

$15.00

GPT-4o mini

$0.60

GPT-4o mini leads here

Context window

GPT-4o (fine-tuned)

128,000 tokens

GPT-4o mini

128,000 tokens

GPT-4o (fine-tuned) leads here

Cached input

GPT-4o (fine-tuned)

$1.875

GPT-4o 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.

ScenarioGPT-4o (fine-tuned)GPT-4o miniGPT-4o (fine-tuned) cached
Balanced conversation
50% input · 50% output
$0.0938$0.0037$0.0844
Input-heavy workflow
80% input · 20% output
$0.0600$0.0024$0.0450
Generation heavy
30% input · 70% output
$0.116$0.0046$0.111
Cached system prompt
90% cached input · 10% fresh output
$0.0487$0.0019$0.0319

Frequently asked questions

Which is cheaper: GPT-4o (fine-tuned) or GPT-4o mini?

GPT-4o mini is cheaper for input tokens at $0.15 per 1M tokens compared to $3.75. For output, GPT-4o mini costs $0.60 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 GPT-4o mini?

GPT-4o mini pricing: $0.15 per 1M input tokens and $0.60 per 1M output tokens. Context window: 128,000 tokens.

How much does it cost per 1K tokens?

Per 1K tokens: GPT-4o (fine-tuned) costs $0.0037 input / $0.0150 output. GPT-4o mini costs $0.0001 input / $0.0006 output. This is useful for calculating small-scale usage costs.

Which model supports a larger context window?

GPT-4o (fine-tuned) offers 128,000 tokens (128K) versus 128K for GPT-4o mini.

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 GPT-4o mini would cost $2.70. GPT-4o 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%. GPT-4o mini does not publish cached pricing.

Which model is best for my use case?

Choose GPT-4o mini for cost-sensitive applications with high input volume. Choose GPT-4o (fine-tuned) if you need 128K context for long documents or conversations. Consider prompt caching if you have repeated context. Use our token calculator to model your specific usage pattern.

Related resources

GPT-4o (fine-tuned) vs GPT-4o mini Pricing (2025) — Cost per 1M Tokens Comparison | LLM Practical Experience Hub