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OpenAI: GPT-4o-mini vs OpenAI: GPT-5.1-Codex-Mini

Head-to-head API cost, context, and performance comparison. Synced at 2:29:17 PM.

Executive Summary

When evaluating OpenAI: GPT-4o-mini against OpenAI: GPT-5.1-Codex-Mini, the pricing structure is a key differentiator. OpenAI: GPT-4o-mini is approximately 67% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-5.1-Codex-Mini leads with a statistical ELO score of 1489. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5.1-Codex-Mini, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT-4o-mini
OpenAI: GPT-5.1-Codex-Mini
Performance (ELO)
1489
1489
Input Cost / 1M
$0.15
$0.25
Output Cost / 1M
$0.60
$2.00
Context Window
128,000 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-4o-mini wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-4o-mini cheaper than OpenAI: GPT-5.1-Codex-Mini?

Yes. OpenAI: GPT-4o-mini is cheaper for both input and output generation compared to OpenAI: GPT-5.1-Codex-Mini. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The OpenAI: GPT-5.1-Codex-Mini model has the advantage in memory, offering a massive 400,000 token limit for document ingestion.

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