Auto-generated comparison

Google: Gemini 2.5 Pro vs Meta: Llama 3 70B Instruct

Google: Gemini 2.5 Pro wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemini 2.5 ProMeta: Llama 3 70B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
1.0M8K🏆 Google: Gemini 2.5 Pro
Input price (per 1M)
Cost per million input tokens billed by the provider.
$1.25$0.51🏆 Meta: Llama 3 70B Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$10.00$0.74🏆 Meta: Llama 3 70B Instruct
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Google: Gemini 2.5 Pro
Vision input
Accepts image inputs alongside text.
Yes🏆 Google: Gemini 2.5 Pro
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 Google: Gemini 2.5 Pro

Frequently asked questions

Is Google: Gemini 2.5 Pro better than Meta: Llama 3 70B Instruct?

Google: Gemini 2.5 Pro wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Google: Gemini 2.5 Pro and Meta: Llama 3 70B Instruct?

Input: $1.25 vs $0.51 per 1M tokens. Output: $10.00 vs $0.74 per 1M tokens.

What context windows do Google: Gemini 2.5 Pro and Meta: Llama 3 70B Instruct support?

Google: Gemini 2.5 Pro supports up to 1.0M tokens. Meta: Llama 3 70B Instruct supports up to 8K tokens.

Do both Google: Gemini 2.5 Pro and Meta: Llama 3 70B Instruct support tool calling?

Google: Gemini 2.5 Pro: yes. Meta: Llama 3 70B Instruct: not advertised.

Compare Google: Gemini 2.5 Pro with other models

Compare Meta: Llama 3 70B Instruct with other models