Auto-generated comparison

Google: Gemini 2.5 Flash vs Meta: Llama 4 Maverick

Meta: Llama 4 Maverick wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemini 2.5 FlashMeta: 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.
$0.30$0.15🏆 Meta: Llama 4 Maverick
Output price (per 1M)
Cost per million output tokens billed by the provider.
$2.50$0.60🏆 Meta: Llama 4 Maverick
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.
Yes🏆 Google: Gemini 2.5 Flash

Frequently asked questions

Is Google: Gemini 2.5 Flash better than Meta: Llama 4 Maverick?

Meta: Llama 4 Maverick wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Google: Gemini 2.5 Flash and Meta: Llama 4 Maverick?

Input: $0.30 vs $0.15 per 1M tokens. Output: $2.50 vs $0.60 per 1M tokens.

What context windows do Google: Gemini 2.5 Flash and Meta: Llama 4 Maverick support?

Google: Gemini 2.5 Flash supports up to 1.0M tokens. Meta: Llama 4 Maverick supports up to 1.0M tokens.

Do both Google: Gemini 2.5 Flash and Meta: Llama 4 Maverick support tool calling?

Google: Gemini 2.5 Flash: yes. Meta: Llama 4 Maverick: yes.

Compare Google: Gemini 2.5 Flash with other models

Compare Meta: Llama 4 Maverick with other models