Last verified 2025-09-22 (left) · 2025-09-22 (right)
GPT-5 nano vs o3 — Pricing & Capability Comparison
GPT-5 nano charges $0.05 per million input tokens and $0.40 per million output tokens. o3 comes in at $2.00 / $8.00. Context windows span 200K vs 200K tokens respectively.
Input price (per 1M)
GPT-5 nano
$0.05
o3
$2.00
GPT-5 nano leads here
Output price (per 1M)
GPT-5 nano
$0.40
o3
$8.00
GPT-5 nano leads here
Context window
GPT-5 nano
200,000 tokens
o3
200,000 tokens
GPT-5 nano leads here
Cached input
GPT-5 nano
Not published
o3
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-5 nano | o3 |
---|---|---|
Balanced conversation 50% input · 50% output | $0.0023 | $0.0500 |
Input-heavy workflow 80% input · 20% output | $0.0012 | $0.0320 |
Generation heavy 30% input · 70% output | $0.0030 | $0.0620 |
Cached system prompt 90% cached input · 10% fresh output | $0.0009 | $0.0260 |
Frequently asked questions
Which model is cheaper per million input tokens?
GPT-5 nano costs $0.05 per million input tokens versus $2.00 for o3.
How do output prices compare?
GPT-5 nano charges $0.40 per million output tokens, while o3 costs $8.00 per million.
Which model supports a larger context window?
GPT-5 nano offers 200,000 tokens (200K) versus 200K for o3.