OpenRouter
Catalog quote- Input
- $0.10
- Output
- $0.30
meta-llamaListed Apr 2, 2025
Llama-4-Scout-17B-16E-Instruct
The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding. Llama 4 Scout, a 17 billion parameter model with 16 experts
Context window1.3M
Max output16.4K
Parameters17B
Provider endpoints9
Benchmark results0
Measured performance
All leaderboards ↗Benchmark results
No published results in this index yet
Scores appear here when an evaluation matches this exact model.
Access & cost
9 quotesPrices across providers
Your token mix
USD · listed token ratesnovita
via Hugging Face- Input
- $0.18
- Output
- $0.59
nscale
via Hugging Face- Input
- $0.09
- Output
- $0.29
deepinfra
via Hugging Face- Input
- $0.10
- Output
- $0.30
- Input
- $0.10
- Output
- $0.30
- Input
- $0.08
- Output
- $0.24
Endpoint degraded (status -5)
- Input
- $0.10
- Output
- $0.30
- Input
- $0.15
- Output
- $0.45
Endpoint degraded (status -2)
- Input
- $0.25
- Output
- $0.70
Model specifications
- Developer
- meta-llama
- Modality
- Language
- Context
- 1,310,720 tokens
- Maximum output
- 16,384 tokens
- Weights
- Open weights
- Provider listed
- Apr 2, 2025
- First discovered
- Oct 16, 2026
Exact identities
- openrouter
meta-llama/llama-4-scout - huggingface
meta-llama/Llama-4-Scout-17B-16E-Instruct - deepinfra
meta-llama/Llama-4-Scout-17B-16E-Instruct
Sources
Updated Oct 20, 2026
More from meta-llama
View all ↗meta-llamaListed Apr 23
Llama-Guard-4-12B
Llama Guard 4 is a natively multimodal safety classifier with 12 billion parameters trained jointly on text and multiple images. Llama Guard 4 is a dense architecture pruned from the Llama 4 Scout…
163.8K context12BImage inputOpen weightsNo reported score
No reported score
$0.144in$0.144out/ 1M tokens · USDDeepInfra · via OpenRouter · 6 endpointsdeepinfra/bf16/flex · tier=flex · quantization=bf16
meta-llamaListed Apr 5
Meta: Llama 4 Maverick
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...
524.3K contextImage inputTool callingNo reported score
No reported score
meta-llamaListed Apr 1
Llama-4-Maverick-17B-128E-Instruct-FP8
1M context17BImage inputOpen weightsNo reported score
No reported score
meta-llamaListed Dec 6
Llama-3.3-70B-Instruct-Turbo
Llama 3.3-70B Turbo is a highly optimized version of the Llama 3.3-70B model, utilizing FP8 quantization to deliver significantly faster inference speeds with a minor trade-off in accuracy. The model is…
131.1K context70BNo reported score
No reported score