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xAI: Grok 4.20 Multi-Agent Beta vs OpenAI: GPT-5 Nano

Head-to-head API cost, context, and performance comparison. Synced at 9:56:15 AM.

Executive Summary

When evaluating xAI: Grok 4.20 Multi-Agent Beta against OpenAI: GPT-5 Nano, the pricing structure is a key differentiator. OpenAI: GPT-5 Nano is approximately 94% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, xAI: Grok 4.20 Multi-Agent Beta leads with a statistical ELO score of 1370. For tasks involving complex logic, coding, or instruction-following, developers might prefer xAI: Grok 4.20 Multi-Agent Beta, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
xAI: Grok 4.20 Multi-Agent Beta
OpenAI: GPT-5 Nano
Performance (ELO)
1370
1300
Input Cost / 1M
$2.00
$0.05
Output Cost / 1M
$6.00
$0.40
Context Window
2,000,000 tokens
400,000 tokens

Verdict

If you are looking for pure performance and capability, xAI: Grok 4.20 Multi-Agent Beta is statistically superior. However, if API burn rate is the primary concern, OpenAI: GPT-5 Nano wins out aggressively in pricing.

People Also Ask

Is xAI: Grok 4.20 Multi-Agent Beta cheaper than OpenAI: GPT-5 Nano?

No. OpenAI: GPT-5 Nano 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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