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OpenAI: GPT-5.2-Codex vs OpenAI: GPT-5.1-Codex

Head-to-head API cost, context, and performance comparison. Synced at 9:50:07 AM.

Executive Summary

When evaluating OpenAI: GPT-5.2-Codex against OpenAI: GPT-5.1-Codex, the pricing structure is a key differentiator. OpenAI: GPT-5.1-Codex is approximately 29% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-5.1-Codex leads with a statistical ELO score of 1300. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5.1-Codex, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT-5.2-Codex
OpenAI: GPT-5.1-Codex
Performance (ELO)
1300
1300
Input Cost / 1M
$1.75
$1.25
Output Cost / 1M
$14.00
$10.00
Context Window
400,000 tokens
400,000 tokens

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-5.1-Codex wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-5.2-Codex cheaper than OpenAI: GPT-5.1-Codex?

No. OpenAI: GPT-5.1-Codex 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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