o3-mini vs GPT-5.4 nano
Pricing, context window, and benchmark comparison · Last updated June 2026
GPT-5.4 nano is cheaper than o3-mini at $0.20/1M vs $1.10/1M input tokens — a 5.5x cost difference. o3-mini scores higher on quality benchmarks (ELO 1340). Choose GPT-5.4 nano for cost-sensitive workloads; choose o3-mini for maximum quality.
Which is cheaper: o3-mini or GPT-5.4 nano?
GPT-5.4 nano is the cheaper option at $0.20/1M per 1M input tokens, compared to $1.10/1M for o3-mini. That is a 5.5x cost difference on input tokens. Output pricing follows a similar pattern: o3-mini charges $4.40/1M vs $1.25/1M for GPT-5.4 nano.
Which has better quality: o3-mini or GPT-5.4 nano?
Based on LMSYS Chatbot Arena rankings, o3-mini achieves a higher ELO score (1340 vs 1280), suggesting stronger performance on open-ended tasks. o3-mini excels at strong reasoning at a low price point. GPT-5.4 nano is known for cheapest openai model — $0.20/1m input.
Which should you choose: o3-mini or GPT-5.4 nano?
- → Strong reasoning at a low price point
- → 200K context window
- → Three effort levels (low/medium/high) for cost control
- → Cheapest OpenAI model — $0.20/1M input
- → Good at classification, routing, and extraction
- → 272K context window even at low price
Frequently Asked Questions
Which is cheaper: o3-mini or GPT-5.4 nano?
GPT-5.4 nano is cheaper at $0.20/1M per 1M input tokens, making it 5.5x more affordable.
Which has better quality: o3-mini or GPT-5.4 nano?
o3-mini scores higher on the LMSYS Chatbot Arena with an ELO of 1340, suggesting better overall quality for most tasks.
Which has a larger context window: o3-mini or GPT-5.4 nano?
GPT-5.4 nano has a larger context window at 272K tokens.
Should I choose o3-mini or GPT-5.4 nano?
Choose GPT-5.4 nano if cost is the priority. Choose o3-mini if benchmark quality is most important. Consider your specific use case: o3-mini is best for reasoning and math, while GPT-5.4 nano excels at low-cost and fast-response.
Is o3-mini or GPT-5.4 nano open source?
o3-mini is proprietary. GPT-5.4 nano is proprietary.