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OpenAI: GPT-5.3-Codex vs OpenAI: GPT-5.2

Head-to-head API cost, context, and performance comparison. Synced at 9:50:49 AM.

Executive Summary

When evaluating OpenAI: GPT-5.3-Codex against OpenAI: GPT-5.2, the pricing structure is a key differentiator. Both models are remarkably similar in API costs.

However, when looking at raw reasoning capabilities, OpenAI: GPT-5.3-Codex leads with a statistical ELO score of 1410. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5.3-Codex, provided their budget allows for the API burn rate.

Raw Technical comparison

Metric
OpenAI: GPT-5.3-Codex
OpenAI: GPT-5.2
Performance (ELO)
1410
1300
Input Cost / 1M
$1.75
$1.75
Output Cost / 1M
$14.00
$14.00
Context Window
400,000 tokens
400,000 tokens

Verdict

If you are looking for pure performance and capability, OpenAI: GPT-5.3-Codex is statistically superior. However, if API burn rate is the primary concern, Tie wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-5.3-Codex cheaper than OpenAI: GPT-5.2?

No. OpenAI: GPT-5.2 is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

Both models offer an identical context window of 400,000 tokens.

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