MiscSubjects

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.

MetaLlama 4 Scout
meta-llama/llama-4-scout
2025-04-05text+image->textknows up to 2024-08-31
Coding index
8.2
Artificial Analysis
Agentic index
0.5
Artificial Analysis
Design Arena
896 Elo · #129
dataviz · 39.3% wins
Input
$0.10
per 1M tokens
Output
$0.30
per 1M tokens
Context
1.3M
tokens it reads
Max output
16K
tokens it writes
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...
inspect — the catalog entry
{
  "id": "meta-llama/llama-4-scout",
  "canonical_slug": "meta-llama/llama-4-scout-17b-16e-instruct",
  "hugging_face_id": "meta-llama/Llama-4-Scout-17B-16E-Instruct",
  "name": "Meta: Llama 4 Scout",
  "created": 1743881519,
  "description": "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...",
  "context_length": 1310720,
  "architecture": {
    "modality": "text+image->text",
    "input_modalities": [
      "text",
      "image"
    ],
    "output_modalities": [
      "text"
    ],
    "tokenizer": "Llama4",
    "instruct_type": null
  },
  "pricing": {
    "prompt": "0.0000001",
    "completion": "0.0000003"
  },
  "top_provider": {
    "context_length": 327680,
    "max_completion_tokens": 16384,
    "is_moderated": false
  },
  "per_request_limits": null,
  "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"
  ],
  "default_parameters": {},
  "supported_voices": null,
  "knowledge_cutoff": "2024-08-31",
  "expiration_date": null,
  "links": {
    "details": "/api/v1/models/meta-llama/llama-4-scout-17b-16e-instruct/endpoints"
  },
  "endpoints": [
    "/api/v1/chat/completions",
    "/api/v1/completions",
    "/api/v1/messages",
    "/api/v1/responses"
  ],
  "benchmarks": {
    "design_arena": [
      {
        "arena": "models",
        "category": "codecategories",
        "elo": 788,
        "win_rate": 26.6,
        "rank": 142
      },
      {
        "arena": "models",
        "category": "dataviz",
        "elo": 896,
        "win_rate": 39.3,
        "rank": 129
      },
      {
        "arena": "models",
        "category": "gamedev",
        "elo": 773,
        "win_rate": 27.4,
        "rank": 141
      },
      {
        "arena": "models",
        "category": "uicomponent",
        "elo": 762,
        "win_rate": 25.5,
        "rank": 136
      },
      {
        "arena": "models",
        "category": "website",
        "elo": 750,
        "win_rate": 22.7,
        "rank": 148
      }
    ],
    "artificial_analysis": {
      "intelligence_index": null,
      "coding_index": 8.2,
      "agentic_index": 0.5
    }
  },
  "reasoning": null
}
openrouter.ai/meta-llama/llama-4-scout
References (1)
  1. Stored model catalog — Nov 5, 2026
Via
OpenRouter
Id
openrouter/meta-llama/llama-4-scout
Model id
meta-llama/llama-4-scout
Name
Meta: Llama 4 Scout
Description
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.
Family
meta-llama
Canonical slug
meta-llama/llama-4-scout-17b-16e-instruct
Price in
0.09999999999999999
Price out
0.3
Price cache read
null
Price cache write
null
Price cache write 1h
null
Price web search
null
Price overrides
[]
Context
1310720
Max completion tokens
16384
Modality
text+image->text
Input modalities
["text","image"]
Output modalities
["text"]
Tokenizer
Llama4
Knowledge cutoff
2024-08-31
Created
1743881519
Moderated
false
Params
["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"]
Default parameters
{}
Tools
true
Reasoning
false
Reasoning efforts
null
Reasoning default effort
null
Reasoning mandatory
false
Reasoning default enabled
null
Vision
true
Expiration date
null

Connected subjects

All AIModel ↗

LinkedInXFacebookRedditEdit
Page dataOpen JSON
page.json
{
  "schema": "page/1",
  "id": "model:openrouter/meta-llama/llama-4-scout",
  "kind": "AIModel",
  "title": "Meta: Llama 4 Scout",
  "layout": "item",
  "status": "published",
  "summary": "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.",
  "body": [
    {
      "type": "model",
      "id": "meta-llama/llama-4-scout"
    }
  ],
  "hero": "",
  "facts": {
    "via": "OpenRouter",
    "id": "openrouter/meta-llama/llama-4-scout",
    "model_id": "meta-llama/llama-4-scout",
    "name": "Meta: Llama 4 Scout",
    "description": "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.",
    "family": "meta-llama",
    "canonical_slug": "meta-llama/llama-4-scout-17b-16e-instruct",
    "price_in": 0.09999999999999999,
    "price_out": 0.3,
    "price_cache_read": null,
    "price_cache_write": null,
    "price_cache_write_1h": null,
    "price_web_search": null,
    "price_overrides": [],
    "context": 1310720,
    "max_completion_tokens": 16384,
    "modality": "text+image->text",
    "input_modalities": [
      "text",
      "image"
    ],
    "output_modalities": [
      "text"
    ],
    "tokenizer": "Llama4",
    "knowledge_cutoff": "2024-08-31",
    "created": 1743881519,
    "moderated": false,
    "params": [
      "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"
    ],
    "default_parameters": {},
    "tools": true,
    "reasoning": false,
    "reasoning_efforts": null,
    "reasoning_default_effort": null,
    "reasoning_mandatory": false,
    "reasoning_default_enabled": null,
    "vision": true,
    "expiration_date": null
  },
  "sources": [
    {
      "title": "Stored model catalog",
      "url": "https://openrouter.ai/api/v1/models",
      "date": "2026-11-05T19:17:21.603Z"
    }
  ],
  "widgets": [],
  "members": [],
  "relations": [
    {
      "ref": "provider:meta.com",
      "rel": "published by"
    }
  ],
  "media": [],
  "tags": [],
  "query": {},
  "created": "2026-11-05T19:17:21.603Z",
  "updated": "2026-11-05T19:17:21.603Z",
  "provenance": {
    "store": "model-catalog",
    "id": "openrouter/meta-llama/llama-4-scout",
    "key": "state/models/catalogue.json",
    "original_id": "openrouter/meta-llama/llama-4-scout",
    "source_kind": "AIModel",
    "source_provider": "OpenRouter",
    "hash": "b6bcba4c74b71048f28bc2218f0419e06706f9c25396c0a44921a8c44a9b64e1"
  },
  "version": "8b6850f22746d76dcb1ed42428ad131eb881625fc918257ac929644e5a96dfea"
}