Last verified 2025-09-22 (left) · 2025-09-22 (right)
GPT-4.1 nano vs o3-pro — Pricing & Capability Comparison
GPT-4.1 nano charges $0.10 per million input tokens and $0.40 per million output tokens. o3-pro comes in at $20.00 / $80.00. Context windows span 128K vs 200K tokens respectively.
Input price (per 1M)
GPT-4.1 nano
$0.10
o3-pro
$20.00
GPT-4.1 nano leads here
Output price (per 1M)
GPT-4.1 nano
$0.40
o3-pro
$80.00
GPT-4.1 nano leads here
Context window
GPT-4.1 nano
128,000 tokens
o3-pro
200,000 tokens
o3-pro leads here
Cached input
GPT-4.1 nano
Not published
o3-pro
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 | GPT-4.1 nano | o3-pro |
|---|---|---|
Balanced conversation 50% input · 50% output | $0.0025 | $0.500 |
Input-heavy workflow 80% input · 20% output | $0.0016 | $0.320 |
Generation heavy 30% input · 70% output | $0.0031 | $0.620 |
Cached system prompt 90% cached input · 10% fresh output | $0.0013 | $0.260 |
Frequently asked questions
Which model is cheaper per million input tokens?
GPT-4.1 nano costs $0.10 per million input tokens versus $20.00 for o3-pro.
How do output prices compare?
GPT-4.1 nano charges $0.40 per million output tokens, while o3-pro costs $80.00 per million.
Which model supports a larger context window?
o3-pro offers 200,000 tokens (200K) versus 128K for GPT-4.1 nano.