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OpenAI: GPT-4.1 Mini vs OpenAI: GPT-5 Nano

Head-to-head API cost, context, and performance comparison. Synced at 4:05:30 PM.

Executive Summary

When evaluating OpenAI: GPT-4.1 Mini against OpenAI: GPT-5 Nano, the pricing structure is a key differentiator. OpenAI: GPT-5 Nano is approximately 78% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-5 Nano leads with a statistical ELO score of 1415. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5 Nano, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT-4.1 Mini
OpenAI: GPT-5 Nano
Performance (ELO)
1415
1415
Input Cost / 1M
$0.40
$0.05
Output Cost / 1M
$1.60
$0.40
Context Window
1,047,576 tokens
400,000 tokens

Verdict

If you are looking for pure performance and capability, Tie 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 OpenAI: GPT-4.1 Mini 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 OpenAI: GPT-4.1 Mini model has the advantage in memory, offering a massive 1,047,576 token limit for document ingestion.

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