Auto-generated comparison

Meta: Llama 3.1 405B (base) vs WizardLM-2 8x22B

WizardLM-2 8x22B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMeta: Llama 3.1 405B (base)WizardLM-2 8x22BWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
33K66K🏆 WizardLM-2 8x22B
Input price (per 1M)
Cost per million input tokens billed by the provider.
$4.00$0.62🏆 WizardLM-2 8x22B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$4.00$0.62🏆 WizardLM-2 8x22B
Tool / function calling
First-class support for emitting structured tool calls.
Tie
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Meta: Llama 3.1 405B (base) better than WizardLM-2 8x22B?

WizardLM-2 8x22B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Meta: Llama 3.1 405B (base) and WizardLM-2 8x22B?

Input: $4.00 vs $0.62 per 1M tokens. Output: $4.00 vs $0.62 per 1M tokens.

What context windows do Meta: Llama 3.1 405B (base) and WizardLM-2 8x22B support?

Meta: Llama 3.1 405B (base) supports up to 33K tokens. WizardLM-2 8x22B supports up to 66K tokens.

Do both Meta: Llama 3.1 405B (base) and WizardLM-2 8x22B support tool calling?

Meta: Llama 3.1 405B (base): not advertised. WizardLM-2 8x22B: not advertised.

Compare Meta: Llama 3.1 405B (base) with other models

Compare WizardLM-2 8x22B with other models