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Llama 4 Scout 17B 16E Instruct
Open multimodal Llama model for long-context analysis and efficient agents
Model facts
- Context window
- 128K tokens
- Maximum output
- 8K tokens
- Cheapest paid input
- $0.2 per 1M tokens
- Cheapest paid output
- $0.78 per 1M tokens
- Open weights
- yes
- Providers
- 3
Capabilities and modalities
tool calling, 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: $0.2 input / $0.78 output per 1M tokens
API providers
- Azure — model id llama-4-scout-17b-16e-instruct; $0.2 input / $0.78 output per 1M tokens; provider documentation
- Azure Cognitive Services — model id llama-4-scout-17b-16e-instruct; $0.2 input / $0.78 output per 1M tokens; provider documentation
- Cloudflare Workers AI — model id @cf/meta/llama-4-scout-17b-16e-instruct; $0.27 input / $0.85 output per 1M tokens; provider documentation