Back to Value Frontier

OpenAI: GPT-4o vs OpenAI: GPT-5 Nano

Head-to-head API cost, context, and performance comparison. Synced at 9:55:17 AM.

Executive Summary

When evaluating OpenAI: GPT-4o against OpenAI: GPT-5 Nano, the pricing structure is a key differentiator. OpenAI: GPT-5 Nano is approximately 96% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-4o leads with a statistical ELO score of 1315. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-4o, provided their budget allows for the API burn rate.

Arbitrage Alert

You are losing 96%
per million tokens by hardcoding OpenAI: GPT-4o.

Stop guessing exactly which model to route to. Deploy the 0ms Intelligence Engine to automatically arbitrage this 96% gap in your production environment instantly.

96% Instant Profit Margin Recovery
Node.js Enterprise SDK included

Raw Technical comparison

Metric
OpenAI: GPT-4o
OpenAI: GPT-5 Nano
Performance (ELO)
1315
1300
Input Cost / 1M
$2.50
$0.05
Output Cost / 1M
$10.00
$0.40
Context Window
128,000 tokens
400,000 tokens

Verdict

If you are looking for pure performance and capability, OpenAI: GPT-4o is statistically superior. However, if API burn rate is the primary concern, OpenAI: GPT-5 Nano wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-4o cheaper than OpenAI: GPT-5 Nano?

No. OpenAI: GPT-5 Nano is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The OpenAI: GPT-5 Nano model has the advantage in memory, offering a massive 400,000 token limit for document ingestion.

Related Comparisons

Compare OpenAI: GPT-4o vs Nous: Hermes 3 405B Instruct (free)Compare OpenAI: GPT-4o vs Sao10K: Llama 3 8B LunarisCompare OpenAI: GPT-4o vs Google: Gemini 2.0 Flash LiteCompare OpenAI: GPT-4o vs Meta: Llama 3.3 70B Instruct