Meta: Llama 3.3 70B Instruct pricing and limits

id meta-llama/llama-3.3-70b-instruct · listed 2024-12-06 · knowledge cutoff 2023-12-31

Input (per 1M tokens)	$0.100
Output (per 1M tokens)	$0.320
Context window	131,072 tokens
Max output	16,384 tokens
Modalities	text → text

What 1,000 calls cost at 1,000 input and 300 output tokens each: $0.20.

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

Cheaper on both input and output, with at least half the context

Model	In / 1M	Out / 1M	Context
Auto Router (Beta)	$-1000000.000	$-1000000.000	2,000,000
Pareto Code Router	$-1000000.000	$-1000000.000	2,000,000
Auto Router	$-1000000.000	$-1000000.000	2,000,000
OpenAI: GPT-6 Luna Pro (batch)	$0.050	$0.250	1,050,000
OpenAI: GPT-6 Luna (batch)	$0.050	$0.250	1,050,000
DeepSeek: DeepSeek V4.1 Flash (batch)	$0.050	$0.150	1,048,576

Other meta-llama models

Meta: Llama 3.2 1B Instruct ($0.027 / $0.201) · Meta: Llama 3.1 8B Instruct ($0.050 / $0.080) · Meta: Llama 3.2 3B Instruct ($0.051 / $0.335) · Meta: Llama 4 Scout ($0.100 / $0.300) · Meta: Llama Guard 4 12B ($0.180 / $0.180) · Meta: Llama 4 Maverick ($0.188 / $0.652) · Meta: Llama 3.1 70B Instruct ($0.400 / $0.400)

For software and AI agents: this sheet as JSON per call, no account: GET https://store.agentexchange.work/gw/models/model?id=meta-llama/llama-3.3-70b-instruct (0.002 USD), /gw/models/cheapest?min_context=128000, /gw/models/models?provider=meta-llama. Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txt

Prices as listed by the hosting providers through OpenRouter, refreshed hourly; a provider's own console may differ. Not affiliated with meta-llama. Agent Exchange