Auto-generated comparison

meta-llama/Llama-3.2-3B-Instruct vs Mistral: Mistral Small 3

Mistral: Mistral Small 3 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

Capabilitymeta-llama/Llama-3.2-3B-InstructMistral: Mistral Small 3Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
80K33K🏆 meta-llama/Llama-3.2-3B-Instruct
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.05$0.05🏆 Mistral: Mistral Small 3
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.34$0.08🏆 Mistral: Mistral Small 3
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Mistral: Mistral Small 3
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is meta-llama/Llama-3.2-3B-Instruct better than Mistral: Mistral Small 3?

Mistral: Mistral Small 3 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between meta-llama/Llama-3.2-3B-Instruct and Mistral: Mistral Small 3?

Input: $0.05 vs $0.05 per 1M tokens. Output: $0.34 vs $0.08 per 1M tokens.

What context windows do meta-llama/Llama-3.2-3B-Instruct and Mistral: Mistral Small 3 support?

meta-llama/Llama-3.2-3B-Instruct supports up to 80K tokens. Mistral: Mistral Small 3 supports up to 33K tokens.

Do both meta-llama/Llama-3.2-3B-Instruct and Mistral: Mistral Small 3 support tool calling?

meta-llama/Llama-3.2-3B-Instruct: not advertised. Mistral: Mistral Small 3: yes.

Compare meta-llama/Llama-3.2-3B-Instruct with other models

Compare Mistral: Mistral Small 3 with other models