OpenAI: GPT-5.1-Codex-Max vs Google: Gemini 2.5 Pro Preview 06-05
Head-to-head API cost, context, and performance comparison. Synced at 1:06:36 PM.
Executive Summary
When evaluating OpenAI: GPT-5.1-Codex-Max against Google: Gemini 2.5 Pro Preview 06-05, the pricing structure is a key differentiator. Both models are remarkably similar in API costs.
However, when looking at raw reasoning capabilities, OpenAI: GPT-5.1-Codex-Max leads with a statistical ELO score of 1506. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5.1-Codex-Max, provided their budget allows for the API burn rate.
Raw Technical comparison
Verdict
If you are looking for pure performance and capability, OpenAI: GPT-5.1-Codex-Max is statistically superior. However, if API burn rate is the primary concern, Tie wins out aggressively in pricing.
People Also Ask
Is OpenAI: GPT-5.1-Codex-Max cheaper than Google: Gemini 2.5 Pro Preview 06-05?
No. Google: Gemini 2.5 Pro Preview 06-05 is the more cost-effective model, operating at a lower price point per 1 million tokens.
Which model has the larger context window?
The Google: Gemini 2.5 Pro Preview 06-05 model has the advantage in memory, offering a massive 1,048,576 token limit for document ingestion.