Meta: Llama 4 Maverick
meta-llama/llama-4-maverickLlama 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...
- Context window
- 524,288 tokens
- Input
- text · image
- Output
- text
- Relay support
- Text & vision
Reference prices & points
Our global markup: 15% · 1 USD = 10,000 points · Price version 0
| Billing unit | OpenRouter / USD | Our reference / USD | Points |
|---|---|---|---|
| Input / 1M tokens | $0.35 | $0.4025 | 4,025 |
| Output / 1M tokens | $1 | $1.15 | 11,500 |
| Cache read / 1M tokens | $0.17 | $0.1955 | 1,955 |
Actual charge = the OpenRouter request cost × the markup locked for that request. Catalogue rates may be routing references; caching, long context, images and audio are charged when used. Listed prices do not mean every capability is available through this relay.
Catalogue time: 2026-11-12T00:10:48.385Z · Live catalogue
View all upstream price fields
{
"prompt": "0.00000035",
"completion": "0.000001",
"input_cache_read": "0.00000017"
}Integration & availability
Use /v1/chat/completions for non-streaming, multi-turn conversations. Models marked for vision accept images; documents can be extracted to text in the workspace. Create a site API key and ensure you have enough points and the service is enabled. Provider availability, context and budget limits apply.