Auto-generated comparison

Meta: Llama 3 8B Instruct vs OpenAI: GPT-3.5 Turbo (batch)

Meta: Llama 3 8B Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMeta: Llama 3 8B InstructOpenAI: GPT-3.5 Turbo (batch)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
8K16K🏆 OpenAI: GPT-3.5 Turbo (batch)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.03$0.25🏆 Meta: Llama 3 8B Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.04$0.75🏆 Meta: Llama 3 8B Instruct
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Meta: Llama 3 8B Instruct better than OpenAI: GPT-3.5 Turbo (batch)?

Meta: Llama 3 8B Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Meta: Llama 3 8B Instruct and OpenAI: GPT-3.5 Turbo (batch)?

Input: $0.03 vs $0.25 per 1M tokens. Output: $0.04 vs $0.75 per 1M tokens.

What context windows do Meta: Llama 3 8B Instruct and OpenAI: GPT-3.5 Turbo (batch) support?

Meta: Llama 3 8B Instruct supports up to 8K tokens. OpenAI: GPT-3.5 Turbo (batch) supports up to 16K tokens.

Do both Meta: Llama 3 8B Instruct and OpenAI: GPT-3.5 Turbo (batch) support tool calling?

Meta: Llama 3 8B Instruct: yes. OpenAI: GPT-3.5 Turbo (batch): yes.

Compare Meta: Llama 3 8B Instruct with other models

Compare OpenAI: GPT-3.5 Turbo (batch) with other models