Auto-generated comparison

Google: Gemini 2.0 Flash vs Meta: Llama 3 8B Instruct

Google: Gemini 2.0 Flash and Meta: Llama 3 8B Instruct are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityGoogle: Gemini 2.0 FlashMeta: Llama 3 8B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
1.0M8K🏆 Google: Gemini 2.0 Flash
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.10$0.03🏆 Meta: Llama 3 8B Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.40$0.04🏆 Meta: Llama 3 8B Instruct
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 Google: Gemini 2.0 Flash
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Google: Gemini 2.0 Flash better than Meta: Llama 3 8B Instruct?

Google: Gemini 2.0 Flash and Meta: Llama 3 8B Instruct are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between Google: Gemini 2.0 Flash and Meta: Llama 3 8B Instruct?

Input: $0.10 vs $0.03 per 1M tokens. Output: $0.40 vs $0.04 per 1M tokens.

What context windows do Google: Gemini 2.0 Flash and Meta: Llama 3 8B Instruct support?

Google: Gemini 2.0 Flash supports up to 1.0M tokens. Meta: Llama 3 8B Instruct supports up to 8K tokens.

Do both Google: Gemini 2.0 Flash and Meta: Llama 3 8B Instruct support tool calling?

Google: Gemini 2.0 Flash: yes. Meta: Llama 3 8B Instruct: yes.

Compare Google: Gemini 2.0 Flash with other models

Compare Meta: Llama 3 8B Instruct with other models