OpenAI: GPT-5 Codex vs OpenAI: GPT-4o Search Preview
Head-to-head API cost, context, and performance comparison. Synced at 3:01:27 PM.
Executive Summary
When evaluating OpenAI: GPT-5 Codex against OpenAI: GPT-4o Search Preview, the pricing structure is a key differentiator. OpenAI: GPT-5 Codex is approximately 10% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, OpenAI: GPT-4o Search Preview leads with a statistical ELO score of 1415. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-4o Search Preview, provided their budget allows for the API burn rate.
You are losing 10%
per million tokens by hardcoding OpenAI: GPT-4o Search Preview.
Stop guessing exactly which model to route to. Deploy the 0ms Intelligence Engine to automatically arbitrage this 10% gap in your production environment instantly.
Raw Technical comparison
Verdict
If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, OpenAI: GPT-5 Codex wins out aggressively in pricing.
People Also Ask
Is OpenAI: GPT-5 Codex cheaper than OpenAI: GPT-4o Search Preview?
Yes. OpenAI: GPT-5 Codex is cheaper for both input and output generation compared to OpenAI: GPT-4o Search Preview. Exploring alternatives often yields cost reductions.
Which model has the larger context window?
The OpenAI: GPT-5 Codex model has the advantage in memory, offering a massive 400,000 token limit for document ingestion.