Auto-generated comparison

Meta: Llama 3.1 405B (base) vs Qwen: Qwen-Max

Qwen: Qwen-Max wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMeta: Llama 3.1 405B (base)Qwen: Qwen-MaxWinner
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.
$4.00$1.04🏆 Qwen: Qwen-Max
Output price (per 1M)
Cost per million output tokens billed by the provider.
$4.00$4.16🏆 Meta: Llama 3.1 405B (base)
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Qwen: Qwen-Max
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 Qwen: Qwen-Max?

Qwen: Qwen-Max wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Meta: Llama 3.1 405B (base) and Qwen: Qwen-Max?

Input: $4.00 vs $1.04 per 1M tokens. Output: $4.00 vs $4.16 per 1M tokens.

What context windows do Meta: Llama 3.1 405B (base) and Qwen: Qwen-Max support?

Meta: Llama 3.1 405B (base) supports up to 33K tokens. Qwen: Qwen-Max supports up to 33K tokens.

Do both Meta: Llama 3.1 405B (base) and Qwen: Qwen-Max support tool calling?

Meta: Llama 3.1 405B (base): not advertised. Qwen: Qwen-Max: yes.

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

Compare Qwen: Qwen-Max with other models