Auto-generated comparison

Meta: Llama 3.2 11B Vision Instruct vs OpenAI: GPT-4o-mini (2024-07-18)

Meta: Llama 3.2 11B Vision Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMeta: Llama 3.2 11B Vision InstructOpenAI: GPT-4o-mini (2024-07-18)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K128K🏆 Meta: Llama 3.2 11B Vision Instruct
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.05$0.15🏆 Meta: Llama 3.2 11B Vision Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.05$0.60🏆 Meta: Llama 3.2 11B Vision Instruct
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 OpenAI: GPT-4o-mini (2024-07-18)
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Meta: Llama 3.2 11B Vision Instruct better than OpenAI: GPT-4o-mini (2024-07-18)?

Meta: Llama 3.2 11B Vision Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Meta: Llama 3.2 11B Vision Instruct and OpenAI: GPT-4o-mini (2024-07-18)?

Input: $0.05 vs $0.15 per 1M tokens. Output: $0.05 vs $0.60 per 1M tokens.

What context windows do Meta: Llama 3.2 11B Vision Instruct and OpenAI: GPT-4o-mini (2024-07-18) support?

Meta: Llama 3.2 11B Vision Instruct supports up to 131K tokens. OpenAI: GPT-4o-mini (2024-07-18) supports up to 128K tokens.

Do both Meta: Llama 3.2 11B Vision Instruct and OpenAI: GPT-4o-mini (2024-07-18) support tool calling?

Meta: Llama 3.2 11B Vision Instruct: not advertised. OpenAI: GPT-4o-mini (2024-07-18): yes.

Compare Meta: Llama 3.2 11B Vision Instruct with other models

Compare OpenAI: GPT-4o-mini (2024-07-18) with other models