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OpenAI: GPT-5.1-Codex-Mini vs Google: Gemini 2.5 Pro

Head-to-head API cost, context, and performance comparison. Synced at 9:50:04 AM.

Executive Summary

When evaluating OpenAI: GPT-5.1-Codex-Mini against Google: Gemini 2.5 Pro, the pricing structure is a key differentiator. OpenAI: GPT-5.1-Codex-Mini is approximately 80% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Google: Gemini 2.5 Pro leads with a statistical ELO score of 1300. For tasks involving complex logic, coding, or instruction-following, developers might prefer Google: Gemini 2.5 Pro, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT-5.1-Codex-Mini
Google: Gemini 2.5 Pro
Performance (ELO)
1300
1300
Input Cost / 1M
$0.25
$1.25
Output Cost / 1M
$2.00
$10.00
Context Window
400,000 tokens
1,048,576 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-5.1-Codex-Mini wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-5.1-Codex-Mini cheaper than Google: Gemini 2.5 Pro?

Yes. OpenAI: GPT-5.1-Codex-Mini is cheaper for both input and output generation compared to Google: Gemini 2.5 Pro. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Google: Gemini 2.5 Pro model has the advantage in memory, offering a massive 1,048,576 token limit for document ingestion.

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