Auto-generated comparison

Google: Gemini 2.0 Flash Lite vs Meta: Llama 4 Maverick

Google: Gemini 2.0 Flash Lite wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemini 2.0 Flash LiteMeta: Llama 4 MaverickWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
1.0M1.0MTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.07$0.15🏆 Google: Gemini 2.0 Flash Lite
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.30$0.60🏆 Google: Gemini 2.0 Flash Lite
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Google: Gemini 2.0 Flash Lite better than Meta: Llama 4 Maverick?

Google: Gemini 2.0 Flash Lite wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Google: Gemini 2.0 Flash Lite and Meta: Llama 4 Maverick?

Input: $0.07 vs $0.15 per 1M tokens. Output: $0.30 vs $0.60 per 1M tokens.

What context windows do Google: Gemini 2.0 Flash Lite and Meta: Llama 4 Maverick support?

Google: Gemini 2.0 Flash Lite supports up to 1.0M tokens. Meta: Llama 4 Maverick supports up to 1.0M tokens.

Do both Google: Gemini 2.0 Flash Lite and Meta: Llama 4 Maverick support tool calling?

Google: Gemini 2.0 Flash Lite: yes. Meta: Llama 4 Maverick: yes.

Compare Google: Gemini 2.0 Flash Lite with other models

Compare Meta: Llama 4 Maverick with other models