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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