Auto-generated comparison

Magnum v4 72B vs Meta: Llama 3.1 405B (base)

Magnum v4 72B and Meta: Llama 3.1 405B (base) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityMagnum v4 72BMeta: Llama 3.1 405B (base)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
33K33KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$2.50$4.00🏆 Magnum v4 72B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$5.00$4.00🏆 Meta: Llama 3.1 405B (base)
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 Magnum v4 72B better than Meta: Llama 3.1 405B (base)?

Magnum v4 72B and Meta: Llama 3.1 405B (base) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between Magnum v4 72B and Meta: Llama 3.1 405B (base)?

Input: $2.50 vs $4.00 per 1M tokens. Output: $5.00 vs $4.00 per 1M tokens.

What context windows do Magnum v4 72B and Meta: Llama 3.1 405B (base) support?

Magnum v4 72B supports up to 33K tokens. Meta: Llama 3.1 405B (base) supports up to 33K tokens.

Do both Magnum v4 72B and Meta: Llama 3.1 405B (base) support tool calling?

Magnum v4 72B: not advertised. Meta: Llama 3.1 405B (base): not advertised.

Compare Magnum v4 72B with other models

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