All models · meta-llama

Meta: Llama 4 Maverick pricing and limits

id meta-llama/llama-4-maverick · listed 2025-04-05 · knowledge cutoff 2024-08-31

Input (per 1M tokens)$0.188
Output (per 1M tokens)$0.652
Cached input read (per 1M)$0.050
Context window524,288 tokens
Max output16,384 tokens
Modalitiestext+image → text

What 1,000 calls cost at 1,000 input and 300 output tokens each: $0.38.

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

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

ModelIn / 1MOut / 1MContext
Auto Router (Beta)$-1000000.000$-1000000.0002,000,000
Pareto Code Router$-1000000.000$-1000000.0002,000,000
Auto Router$-1000000.000$-1000000.0002,000,000
Meta: Llama 4 Scout$0.100$0.3001,310,720
OpenAI: GPT-6 Luna Pro$0.100$0.5001,050,000
OpenAI: GPT-6 Luna Pro (batch)$0.050$0.2501,050,000

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 3.3 70B Instruct ($0.100 / $0.320) · Meta: Llama Guard 4 12B ($0.180 / $0.180) · 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-4-maverick (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