Last verified 2026-03-06 (left) · 2025-09-22 (right)
GPT-5.4 vs o3 — Pricing & Capability Comparison
GPT-5.4 charges $2.50 per million input tokens and $15.00 per million output tokens. o3 comes in at $2.00 / $8.00. Context windows span 1.1M vs 200K tokens respectively.
TL;DR — Quick Comparison
- ✓o3 is cheaper overall: $10.00 per 1M tokens (in+out) vs $17.50 for GPT-5.4 — saves $7.50 per 1M tokens
- ✓Input pricing: GPT-5.4 $2.50/1M vs o3 $2.00/1M
- ✓Output pricing: GPT-5.4 $15.00/1M vs o3 $8.00/1M
- ✓Context window: GPT-5.4 offers more (1.1M vs 200K)
- ✓Use our calculator below to estimate costs for your specific usage pattern
Input price (per 1M)
GPT-5.4
$2.50
o3
$2.00
o3 leads here
Output price (per 1M)
GPT-5.4
$15.00
o3
$8.00
o3 leads here
Context window
GPT-5.4
1,050,000 tokens
o3
200,000 tokens
GPT-5.4 leads here
Cached input
GPT-5.4
$0.250
o3
Not published
GPT-5.4 leads here
Cost comparison for 10K-token workloads
Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.
| Scenario | GPT-5.4 | o3 | GPT-5.4 cached |
|---|---|---|---|
Balanced conversation 50% input · 50% output | $0.0875 | $0.0500 | $0.0762 |
Input-heavy workflow 80% input · 20% output | $0.0500 | $0.0320 | $0.0320 |
Generation heavy 30% input · 70% output | $0.112 | $0.0620 | $0.106 |
Cached system prompt 90% cached input · 10% fresh output | $0.0375 | $0.0260 | $0.0172 |
Frequently asked questions
Which is cheaper: GPT-5.4 or o3?
o3 is cheaper for input tokens at $2.00 per 1M tokens compared to $2.50. For output, o3 costs $8.00 per 1M tokens versus $15.00 for GPT-5.4.
What is the cost per 1M tokens for GPT-5.4?
GPT-5.4 pricing: $2.50 per 1M input tokens and $15.00 per 1M output tokens. Context window: 1,050,000 tokens.
What is the cost per 1M tokens for o3?
o3 pricing: $2.00 per 1M input tokens and $8.00 per 1M output tokens. Context window: 200,000 tokens.
How much does it cost per 1K tokens?
Per 1K tokens: GPT-5.4 costs $0.0025 input / $0.0150 output. o3 costs $0.0020 input / $0.0080 output. This is useful for calculating small-scale usage costs.
Which model supports a larger context window?
GPT-5.4 offers 1,050,000 tokens (1.1M) versus 200K for o3.
What is the estimated monthly cost for typical usage?
For a typical workload of 10M input + 2M output tokens per month: GPT-5.4 would cost approximately $55.00, while o3 would cost $36.00. o3 is more economical for this usage pattern.
Do these models support prompt caching?
GPT-5.4 supports prompt caching at $0.250 per 1M cached tokens, reducing costs for repeated context by up to 90%. o3 does not publish cached pricing.
Which model is best for my use case?
Choose o3 for cost-sensitive applications with high input volume. Choose GPT-5.4 if you need 1.1M context for long documents or conversations. Consider prompt caching if you have repeated context. Use our token calculator to model your specific usage pattern.