Meta (Llama) model pricing — all 8 models

8 Meta (Llama) models, sorted cheapest-first. Normalized to $/1M tokens from the OpenRouter live feed.

Token Price Index › Browse › Meta (Llama)

8 Meta (Llama) models ranked by blended cost (3× input + output / 4). Cheapest is Meta: Llama 3.1 8B Instruct at $0.058/M blended. Prices update daily.

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ModelContextInput $/MOutput $/MBlended $/M
Meta: Llama 3.1 8B Instructcache
meta-llama
131,072$0.050/M$0.080/M$0.058/M
Meta: Llama 3.2 1B Instruct
meta-llama
60,000$0.027/M$0.201/M$0.070/M
Meta: Llama 3.2 3B Instruct
meta-llama
131,072$0.051/M$0.335/M$0.122/M
Meta: Llama 4 Scoutvision
meta-llama
1,310,720$0.100/M$0.300/M$0.150/M
Meta: Llama 3.3 70B Instruct
meta-llama
131,072$0.100/M$0.320/M$0.155/M
Meta: Llama Guard 4 12Bvision
meta-llama
163,840$0.180/M$0.180/M$0.180/M
Meta: Llama 4 Maverickvisioncache
meta-llama
524,288$0.188/M$0.652/M$0.304/M
Meta: Llama 3.1 70B Instruct
meta-llama
131,072$0.400/M$0.400/M$0.400/M

Frequently asked questions

How many Meta (Llama) models are listed?
There are 8 models matching this filter right now, pulled live from the OpenRouter public API and updated daily.
How often does pricing change?
AI model prices change frequently — sometimes weekly. Token Price Index rebuilds this page daily from the OpenRouter API so you always see current prices. Subscribe for price-drop email alerts.
How is the blended cost calculated?
Blended = (3 × input cost + output cost) / 4. This weights input 3:1 over output, reflecting a typical read-heavy workload. Sort by input or output $/M if your workload differs.
How can I get alerted when a Meta (Llama) model price drops?
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Data: OpenRouter public model API, normalized to $/1M tokens. Blended = (3×input + output)/4. Generated 19 Oct 2026 22:00 UTC. Prices change often — confirm on the provider before committing spend.