Side-by-side comparison
Gemini 3.1 Pro Preview vs GPT-5.1-Codex
Google
Gemini 3.1 Pro Preview
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$2.0000
Output / 1M
$12.0000
OpenAI
GPT-5.1-Codex
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$1.2500
Output / 1M
$10.0000
| Gemini 3.1 Pro Preview | GPT-5.1-Codex | |
|---|---|---|
| Provider | OpenAI | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 1,048,576 | 400,000 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, tools, json_mode | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 2.0000 | 1.2500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 12.0000 | 10.0000 |
Frequently asked questions
Which is cheaper, Gemini 3.1 Pro Preview or GPT-5.1-Codex?
GPT-5.1-Codex is cheaper than Gemini 3.1 Pro Preview on a 50/50 input/output blend by about $1.375 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Gemini 3.1 Pro Preview or GPT-5.1-Codex?
Gemini 3.1 Pro Preview has the larger context window at 1M tokens versus 400k tokens for GPT-5.1-Codex. That means Gemini 3.1 Pro Preview can ingest about 2.6x as much text per request.
What is the difference between Gemini 3.1 Pro Preview and GPT-5.1-Codex?
Gemini 3.1 Pro Preview comes from Google; GPT-5.1-Codex comes from OpenAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.