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xAI: Grok 4.20 Beta vs OpenAI: GPT-5.3-Codex

Head-to-head API cost, context, and performance comparison. Synced at 11:24:57 AM.

Executive Summary

When evaluating xAI: Grok 4.20 Beta against OpenAI: GPT-5.3-Codex, the pricing structure is a key differentiator. xAI: Grok 4.20 Beta is approximately 49% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, xAI: Grok 4.20 Beta leads with a statistical ELO score of 1633. For tasks involving complex logic, coding, or instruction-following, developers might prefer xAI: Grok 4.20 Beta, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
xAI: Grok 4.20 Beta
OpenAI: GPT-5.3-Codex
Performance (ELO)
1633
1506
Input Cost / 1M
$2.00
$1.75
Output Cost / 1M
$6.00
$14.00
Context Window
2,000,000 tokens
400,000 tokens

Verdict

If you are looking for pure performance and capability, xAI: Grok 4.20 Beta is statistically superior. However, if API burn rate is the primary concern, xAI: Grok 4.20 Beta wins out aggressively in pricing.

People Also Ask

Is xAI: Grok 4.20 Beta cheaper than OpenAI: GPT-5.3-Codex?

Yes. xAI: Grok 4.20 Beta is cheaper for both input and output generation compared to OpenAI: GPT-5.3-Codex. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The xAI: Grok 4.20 Beta model has the advantage in memory, offering a massive 2,000,000 token limit for document ingestion.

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