Llama 4 Maverick vs GPT-4o-mini (2024-07-18)
Llama 4 Maverick
GPT-4o-mini (2024-07-18)
| Llama 4 Maverick | GPT-4o-mini (2024-07-18) | |
|---|---|---|
| Provider | Meta | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 1,048,576 | 128,000 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, json_mode | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β | 0.1500 | 0.1500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 0.6000 | 0.6000 |
Frequently asked questions
Which is cheaper, Llama 4 Maverick or GPT-4o-mini (2024-07-18)?
Llama 4 Maverick is cheaper than GPT-4o-mini (2024-07-18) on a 50/50 input/output blend by about $0 per 1M tokens. Exact savings depend on your input-vs-output ratio β use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Llama 4 Maverick or GPT-4o-mini (2024-07-18)?
Llama 4 Maverick has the larger context window at 1M tokens versus 128k tokens for GPT-4o-mini (2024-07-18). That means Llama 4 Maverick can ingest about 8.2x as much text per request.
What is the difference between Llama 4 Maverick and GPT-4o-mini (2024-07-18)?
Llama 4 Maverick comes from Meta; GPT-4o-mini (2024-07-18) comes from OpenAI. They differ in pricing, context window, and supported capabilities β see the side-by-side table on this page for the exact figures, refreshed nightly.