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OpenAI: GPT-5.2-Codex vs OpenAI: GPT-4 Turbo Preview

Head-to-head API cost, context, and performance comparison. Synced at 11:21:07 AM.

Executive Summary

When evaluating OpenAI: GPT-5.2-Codex against OpenAI: GPT-4 Turbo Preview, the pricing structure is a key differentiator. OpenAI: GPT-5.2-Codex is approximately 61% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-5.2-Codex leads with a statistical ELO score of 1506. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5.2-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-4 Turbo Preview
Performance (ELO)
1506
1498
Input Cost / 1M
$1.75
$10.00
Output Cost / 1M
$14.00
$30.00
Context Window
400,000 tokens
128,000 tokens

Verdict

If you are looking for pure performance and capability, OpenAI: GPT-5.2-Codex is statistically superior. However, if API burn rate is the primary concern, OpenAI: GPT-5.2-Codex wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-5.2-Codex cheaper than OpenAI: GPT-4 Turbo Preview?

Yes. OpenAI: GPT-5.2-Codex is cheaper for both input and output generation compared to OpenAI: GPT-4 Turbo Preview. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The OpenAI: GPT-5.2-Codex model has the advantage in memory, offering a massive 400,000 token limit for document ingestion.

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