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OpenAI: GPT-4.1 Nano vs xAI: Grok 3 Beta

Head-to-head API cost, context, and performance comparison. Synced at 4:54:39 PM.

Executive Summary

When evaluating OpenAI: GPT-4.1 Nano against xAI: Grok 3 Beta, the pricing structure is a key differentiator. OpenAI: GPT-4.1 Nano is approximately 97% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-4.1 Nano leads with a statistical ELO score of 1499. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-4.1 Nano, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT-4.1 Nano
xAI: Grok 3 Beta
Performance (ELO)
1499
1488
Input Cost / 1M
$0.10
$3.00
Output Cost / 1M
$0.40
$15.00
Context Window
1,047,576 tokens
131,072 tokens

Verdict

If you are looking for pure performance and capability, OpenAI: GPT-4.1 Nano is statistically superior. However, if API burn rate is the primary concern, OpenAI: GPT-4.1 Nano wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-4.1 Nano cheaper than xAI: Grok 3 Beta?

Yes. OpenAI: GPT-4.1 Nano is cheaper for both input and output generation compared to xAI: Grok 3 Beta. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The OpenAI: GPT-4.1 Nano model has the advantage in memory, offering a massive 1,047,576 token limit for document ingestion.

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