Auto-generated comparison

Google: Gemma 2 9B vs meta-llama/Llama-3.1-8B-Instruct

meta-llama/Llama-3.1-8B-Instruct wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemma 2 9Bmeta-llama/Llama-3.1-8B-InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
8K16K🏆 meta-llama/Llama-3.1-8B-Instruct
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.03$0.02🏆 meta-llama/Llama-3.1-8B-Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.09$0.05🏆 meta-llama/Llama-3.1-8B-Instruct
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 meta-llama/Llama-3.1-8B-Instruct
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Google: Gemma 2 9B better than meta-llama/Llama-3.1-8B-Instruct?

meta-llama/Llama-3.1-8B-Instruct wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Google: Gemma 2 9B and meta-llama/Llama-3.1-8B-Instruct?

Input: $0.03 vs $0.02 per 1M tokens. Output: $0.09 vs $0.05 per 1M tokens.

What context windows do Google: Gemma 2 9B and meta-llama/Llama-3.1-8B-Instruct support?

Google: Gemma 2 9B supports up to 8K tokens. meta-llama/Llama-3.1-8B-Instruct supports up to 16K tokens.

Do both Google: Gemma 2 9B and meta-llama/Llama-3.1-8B-Instruct support tool calling?

Google: Gemma 2 9B: not advertised. meta-llama/Llama-3.1-8B-Instruct: yes.

Compare Google: Gemma 2 9B with other models

Compare meta-llama/Llama-3.1-8B-Instruct with other models