Meta
Llama 4 Scout 17B
Open multimodal Llama model for long-context analysis and efficient agents
Model facts
- Context window
- 3.5M tokens
- Maximum output
- 16K tokens
- Cheapest paid input
- $0.1 per 1M tokens
- Cheapest paid output
- $0.3 per 1M tokens
- Open weights
- yes
- Providers
- 3
Capabilities and modalities
tool calling, structured output, attachments, temperature control, open weights, text, image.
Local hardware estimate
At 4K context: Q4_K_M 67.5 GiB, Q8_0 118.1 GiB, F16 212.9 GiB working memory.
- Parameters
- 108.6 billion
- Architecture
- llama4
- Model license
- other
Planning estimate adapted from the MIT-licensed whichllm estimator using metadata from Hugging Face; not a vendor minimum requirement.
Observed price history
- 2026-08-24: $0.1 input / $0.3 output per 1M tokens
API providers
- Deep Infra — model id meta-llama/Llama-4-Scout-17B-16E-Instruct; $0.1 input / $0.3 output per 1M tokens; provider documentation
- DevPass (LLM Gateway) — model id llama-4-scout-17b-instruct; $0.18 input / $0.59 output per 1M tokens; provider documentation
- Amazon Bedrock — model id meta.llama4-scout-17b-instruct-v1:0; $0.17 input / $0.66 output per 1M tokens; provider documentation