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

GPT-4.1 mini vs GPT-4o (fine-tuned) — Pricing & Capability Comparison

GPT-4.1 mini charges $0.40 per million input tokens and $1.60 per million output tokens. GPT-4o (fine-tuned) comes in at $3.75 / $15.00. Context windows span 128K vs 128K tokens respectively.

TL;DR — Quick Comparison

  • GPT-4.1 mini is cheaper overall: $2.00 per 1M tokens (in+out) vs $18.75 for GPT-4o (fine-tuned) — saves $16.75 per 1M tokens
  • Input pricing: GPT-4.1 mini $0.40/1M vs GPT-4o (fine-tuned) $3.75/1M
  • Output pricing: GPT-4.1 mini $1.60/1M vs GPT-4o (fine-tuned) $15.00/1M
  • Context window: GPT-4.1 mini offers more (128K vs 128K)
  • Use our calculator below to estimate costs for your specific usage pattern

Input price (per 1M)

GPT-4.1 mini

$0.40

GPT-4o (fine-tuned)

$3.75

GPT-4.1 mini leads here

Output price (per 1M)

GPT-4.1 mini

$1.60

GPT-4o (fine-tuned)

$15.00

GPT-4.1 mini leads here

Context window

GPT-4.1 mini

128,000 tokens

GPT-4o (fine-tuned)

128,000 tokens

GPT-4.1 mini leads here

Cached input

GPT-4.1 mini

Not published

GPT-4o (fine-tuned)

$1.875

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-4.1 miniGPT-4o (fine-tuned)GPT-4o (fine-tuned) cached
Balanced conversation
50% input · 50% output
$0.0100$0.0938$0.0844
Input-heavy workflow
80% input · 20% output
$0.0064$0.0600$0.0450
Generation heavy
30% input · 70% output
$0.0124$0.116$0.111
Cached system prompt
90% cached input · 10% fresh output
$0.0052$0.0487$0.0319

Frequently asked questions

Which is cheaper: GPT-4.1 mini or GPT-4o (fine-tuned)?

GPT-4.1 mini is cheaper for input tokens at $0.40 per 1M tokens compared to $3.75. For output, GPT-4.1 mini costs $1.60 per 1M tokens versus $15.00 for GPT-4o (fine-tuned).

What is the cost per 1M tokens for GPT-4.1 mini?

GPT-4.1 mini pricing: $0.40 per 1M input tokens and $1.60 per 1M output tokens. Context window: 128,000 tokens.

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.

How much does it cost per 1K tokens?

Per 1K tokens: GPT-4.1 mini costs $0.0004 input / $0.0016 output. GPT-4o (fine-tuned) costs $0.0037 input / $0.0150 output. This is useful for calculating small-scale usage costs.

Which model supports a larger context window?

GPT-4.1 mini offers 128,000 tokens (128K) 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-4.1 mini would cost approximately $7.20, while GPT-4o (fine-tuned) would cost $67.50. GPT-4.1 mini is more economical for this usage pattern.

Do these models support prompt caching?

GPT-4.1 mini does not publish cached pricing. GPT-4o (fine-tuned) supports caching at $1.875 per 1M tokens, saving up to 50%.

Which model is best for my use case?

Choose GPT-4.1 mini for cost-sensitive applications with high input volume. Choose GPT-4.1 mini 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-4.1 mini vs GPT-4o (fine-tuned) Pricing (2025) — Cost per 1M Tokens Comparison | LLM Practical Experience Hub