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OpenAI: GPT-5.2 Chat vs xAI: Grok 4.20 Multi-Agent Beta

Head-to-head API cost, context, and performance comparison. Synced at 9:55:06 AM.

Executive Summary

When evaluating OpenAI: GPT-5.2 Chat against xAI: Grok 4.20 Multi-Agent Beta, the pricing structure is a key differentiator. xAI: Grok 4.20 Multi-Agent Beta is approximately 49% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-5.2 Chat leads with a statistical ELO score of 1390. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5.2 Chat, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT-5.2 Chat
xAI: Grok 4.20 Multi-Agent Beta
Performance (ELO)
1390
1370
Input Cost / 1M
$1.75
$2.00
Output Cost / 1M
$14.00
$6.00
Context Window
128,000 tokens
2,000,000 tokens

Verdict

If you are looking for pure performance and capability, OpenAI: GPT-5.2 Chat is statistically superior. However, if API burn rate is the primary concern, xAI: Grok 4.20 Multi-Agent Beta wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-5.2 Chat cheaper than xAI: Grok 4.20 Multi-Agent Beta?

No. xAI: Grok 4.20 Multi-Agent Beta is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

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

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