Last verified 2025-09-22 (left) · 2025-09-22 (right)
Gemini 2.5 Pro vs GPT-4.1 nano — Pricing & Capability Comparison
Gemini 2.5 Pro charges $1.25 per million input tokens and $10.00 per million output tokens. GPT-4.1 nano comes in at $0.10 / $0.40. Context windows span 200K vs 128K tokens respectively.
TL;DR — Quick Comparison
- ✓GPT-4.1 nano is cheaper overall: $0.50 per 1M tokens (in+out) vs $11.25 for Gemini 2.5 Pro — saves $10.75 per 1M tokens
- ✓Input pricing: Gemini 2.5 Pro $1.25/1M vs GPT-4.1 nano $0.10/1M
- ✓Output pricing: Gemini 2.5 Pro $10.00/1M vs GPT-4.1 nano $0.40/1M
- ✓Context window: Gemini 2.5 Pro offers more (200K vs 128K)
- ✓Use our calculator below to estimate costs for your specific usage pattern
Input price (per 1M)
Gemini 2.5 Pro
$1.25
GPT-4.1 nano
$0.10
GPT-4.1 nano leads here
Output price (per 1M)
Gemini 2.5 Pro
$10.00
GPT-4.1 nano
$0.40
GPT-4.1 nano leads here
Context window
Gemini 2.5 Pro
200,000 tokens
GPT-4.1 nano
128,000 tokens
Gemini 2.5 Pro leads here
Cached input
Gemini 2.5 Pro
Not published
GPT-4.1 nano
Not published
No published data
Cost comparison for 10K-token workloads
Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.
| Scenario | Gemini 2.5 Pro | GPT-4.1 nano |
|---|---|---|
Balanced conversation 50% input · 50% output | $0.0563 | $0.0025 |
Input-heavy workflow 80% input · 20% output | $0.0300 | $0.0016 |
Generation heavy 30% input · 70% output | $0.0738 | $0.0031 |
Cached system prompt 90% cached input · 10% fresh output | $0.0212 | $0.0013 |
Frequently asked questions
Which is cheaper: Gemini 2.5 Pro or GPT-4.1 nano?
GPT-4.1 nano is cheaper for input tokens at $0.10 per 1M tokens compared to $1.25. For output, GPT-4.1 nano costs $0.40 per 1M tokens versus $10.00 for Gemini 2.5 Pro.
What is the cost per 1M tokens for Gemini 2.5 Pro?
Gemini 2.5 Pro pricing: $1.25 per 1M input tokens and $10.00 per 1M output tokens. Context window: 200,000 tokens.
What is the cost per 1M tokens for GPT-4.1 nano?
GPT-4.1 nano pricing: $0.10 per 1M input tokens and $0.40 per 1M output tokens. Context window: 128,000 tokens.
How much does it cost per 1K tokens?
Per 1K tokens: Gemini 2.5 Pro costs $0.0013 input / $0.0100 output. GPT-4.1 nano costs $0.0001 input / $0.0004 output. This is useful for calculating small-scale usage costs.
Which model supports a larger context window?
Gemini 2.5 Pro offers 200,000 tokens (200K) versus 128K for GPT-4.1 nano.
What is the estimated monthly cost for typical usage?
For a typical workload of 10M input + 2M output tokens per month: Gemini 2.5 Pro would cost approximately $32.50, while GPT-4.1 nano would cost $1.80. GPT-4.1 nano is more economical for this usage pattern.
Do these models support prompt caching?
Gemini 2.5 Pro does not publish cached pricing. GPT-4.1 nano does not publish cached pricing.
Which model is best for my use case?
Choose GPT-4.1 nano for cost-sensitive applications with high input volume. Choose Gemini 2.5 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.