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meta-llama/llama-4-scout
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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 (text and image) and multilingual output (text and code) across 12 supported languages. Designed for assistant-style interaction and visual reasoning, Scout uses 16 experts per forward pass and features a context length of 10 million tokens, with a training corpus of ~40 trillion tokens. Built for high efficiency and local or commercial deployment, Llama 4 Scout incorporates early fusion for seamless modality integration. It is instruction-tuned for use in multilingual chat, captioning, and image understanding tasks. Released under the Llama 4 Community License, it was last trained on data up to August 2024 and launched publicly on April 5, 2025.

4/5/2025
327,680 tokens
#68 Vision (Overall)
Specifications

Modalities

Input
text
image
Output
text

Supported Parameters

frequency_penalty
max_tokens
min_p
presence_penalty
repetition_penalty
response_format
seed
stop
structured_outputs
temperature
tool_choice
tools
top_k
top_p

Max Output Tokens

16,384
Leaderboard
Text
🏆OverallELO: 1,322
#177
🇯🇵JapaneseELO: 1,259
#110
🇨🇳ChineseELO: 1,314
#179
🇰🇷KoreanELO: 1,271
#129
🇬🇧EnglishELO: 1,341
#177
frenchELO: 1,337
#141
germanELO: 1,311
#136
spanishELO: 1,303
#155
russianELO: 1,308
#169
💻CodingELO: 1,362
#175
🧮MathELO: 1,310
#160
✍️Creative WritingELO: 1,290
#174
📝Instruction FollowingELO: 1,298
#185
🌶️Hard PromptsELO: 1,329
#175
💬Multi-TurnELO: 1,320
#173
Vision
🏆OverallELO: 1,127
#68