OpenAI: o3 Deep Research vs OpenAI: GPT-5 Codex
Head-to-head API cost, context, and performance comparison. Synced at 9:51:20 AM.
Executive Summary
When evaluating OpenAI: o3 Deep Research against OpenAI: GPT-5 Codex, the pricing structure is a key differentiator. OpenAI: GPT-5 Codex is approximately 78% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, OpenAI: GPT-5 Codex leads with a statistical ELO score of 1300. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5 Codex, provided their budget allows for the API burn rate.
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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: o3 Deep Research cheaper than OpenAI: GPT-5 Codex?
No. OpenAI: GPT-5 Codex 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 Codex model has the advantage in memory, offering a massive 400,000 token limit for document ingestion.