AI Observatory / Model Radar
Meta / meta-llama/llama-4-scout
Meta: Llama 4 Scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
327,680
Context
16,384
Max output
$0.08 / 1M
Prompt price
2025-04-05
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | Meta | Input modalities | text, image |
|---|---|---|---|
| Output modalities | text | Prompt price | $0.08 / 1M |
| Completion price | $0.30 / 1M | Request price | N/A |
| Context length | 327,680 | Max completion tokens | 16,384 |
| Supported parameters | frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p | ||
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meta-llama/llama-4-scout
Meta: Llama 4 Scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
Cross-modal work
Long context
High-volume usage
Coding workflows
vision
tool-capable
long-context
low-cost
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.