Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool use performance with substantially lower latency than la…
Model details →Google: Gemini 3 Flash Preview vs OpenAI: GPT-5.1-Codex-Mini
OpenAI: GPT-5.1-Codex-Mini wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
Model details →Side-by-side comparison
| Capability | Google: Gemini 3 Flash Preview | OpenAI: GPT-5.1-Codex-Mini | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 400K | 🏆 Google: Gemini 3 Flash Preview |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.50 | $0.25 | 🏆 OpenAI: GPT-5.1-Codex-Mini |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $3.00 | $2.00 | 🏆 OpenAI: GPT-5.1-Codex-Mini |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Google: Gemini 3 Flash Preview better than OpenAI: GPT-5.1-Codex-Mini?
OpenAI: GPT-5.1-Codex-Mini wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemini 3 Flash Preview and OpenAI: GPT-5.1-Codex-Mini?
Input: $0.50 vs $0.25 per 1M tokens. Output: $3.00 vs $2.00 per 1M tokens.
What context windows do Google: Gemini 3 Flash Preview and OpenAI: GPT-5.1-Codex-Mini support?
Google: Gemini 3 Flash Preview supports up to 1.0M tokens. OpenAI: GPT-5.1-Codex-Mini supports up to 400K tokens.
Do both Google: Gemini 3 Flash Preview and OpenAI: GPT-5.1-Codex-Mini support tool calling?
Google: Gemini 3 Flash Preview: yes. OpenAI: GPT-5.1-Codex-Mini: yes.