Google: Gemini 3 Flash Preview vs OpenAI: GPT-5.1-Codex-Mini
Head-to-head API cost, context, and performance comparison. Synced at 9:50:06 AM.
Executive Summary
When evaluating Google: Gemini 3 Flash Preview against OpenAI: GPT-5.1-Codex-Mini, the pricing structure is a key differentiator. OpenAI: GPT-5.1-Codex-Mini is approximately 36% 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 1300. 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.
You are losing 36%
per million tokens by hardcoding Google: Gemini 3 Flash Preview.
Stop guessing exactly which model to route to. Deploy the 0ms Intelligence Engine to automatically arbitrage this 36% gap in your production environment instantly.
Raw Technical comparison
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 Google: Gemini 3 Flash Preview cheaper than OpenAI: GPT-5.1-Codex-Mini?
No. OpenAI: GPT-5.1-Codex-Mini 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 3 Flash Preview model has the advantage in memory, offering a massive 1,048,576 token limit for document ingestion.