Side-by-side comparison
Gemini 2.0 Flash vs Llama 4 Maverick
Google
Gemini 2.0 Flash
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.1000
Output / 1M
$0.4000
Meta
Llama 4 Maverick
👁 Vision
{} JSON
Input / 1M
$0.1500
Output / 1M
$0.6000
| Gemini 2.0 Flash | Llama 4 Maverick | |
|---|---|---|
| Provider | Meta | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 1,048,576 | 1,048,576 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, tools, json_mode | vision, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.1000 | 0.1500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.4000 | 0.6000 |
Frequently asked questions
Which is cheaper, Gemini 2.0 Flash or Llama 4 Maverick?
Gemini 2.0 Flash is cheaper than Llama 4 Maverick on a 50/50 input/output blend by about $0.125 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
What is the difference between Gemini 2.0 Flash and Llama 4 Maverick?
Gemini 2.0 Flash comes from Google; Llama 4 Maverick comes from Meta. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.