Auto-generated comparison

Meta: Llama 3.1 405B (base) vs Perplexity: Sonar

Perplexity: Sonar wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMeta: Llama 3.1 405B (base)Perplexity: SonarWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
33K127K🏆 Perplexity: Sonar
Input price (per 1M)
Cost per million input tokens billed by the provider.
$4.00$1.00🏆 Perplexity: Sonar
Output price (per 1M)
Cost per million output tokens billed by the provider.
$4.00$1.00🏆 Perplexity: Sonar
Tool / function calling
First-class support for emitting structured tool calls.
Tie
Vision input
Accepts image inputs alongside text.
Yes🏆 Perplexity: Sonar
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Meta: Llama 3.1 405B (base) better than Perplexity: Sonar?

Perplexity: Sonar wins on 4 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 Perplexity: Sonar?

Input: $4.00 vs $1.00 per 1M tokens. Output: $4.00 vs $1.00 per 1M tokens.

What context windows do Meta: Llama 3.1 405B (base) and Perplexity: Sonar support?

Meta: Llama 3.1 405B (base) supports up to 33K tokens. Perplexity: Sonar supports up to 127K tokens.

Do both Meta: Llama 3.1 405B (base) and Perplexity: Sonar support tool calling?

Meta: Llama 3.1 405B (base): not advertised. Perplexity: Sonar: not advertised.

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

Compare Perplexity: Sonar with other models