Intelligence index
Outperforms 8% of compared models
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.
- Input / output price
- $0.1/$0.3per 1M tokens
- Context
- 1.3M
- Released
- 2025-04-05
Pricing
Artificial Analysis
Explore rankingsCoding index
Outperforms 5% of compared models
Agentic index
Outperforms 3% of compared models
Design Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
Data Visualization
896Elo
Win rate 39.3%
UI Component
762Elo
Win rate 25.5%
Game Development
773Elo
Win rate 27.4%
Code Categories
788Elo
Win rate 26.6%
Website
750Elo
Win rate 22.7%
Related Models
Llama 4 Maverick
meta-llamaLlama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multilingual text and image input, and produces multilingual text and code output across 12 supported languages. Optimized for vision-language tasks, Maverick is instruction-tuned for assistant-like behavior, image reasoning, and general-purpose multimodal interaction. Maverick features early fusion for native multimodality and a 1 million token context window. It was trained on a curated mixture of public, licensed, and Meta-platform data, covering ~22 trillion tokens, with a knowledge cutoff in August 2024. Released on April 5, 2025 under the Llama 4 Community License, Maverick is suited for research and commercial applications requiring advanced multimodal understanding and high model throughput.
- Context
- 524K
- Max output
- 16.4K
- Released
- 2025-04-05
- Input
- $0.188/M
- Output
- $0.652/M
- Cache read
- $0.05/M
Llama 3.3 70B Instruct
meta-llamaThe Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks. Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. Model Card
- Context
- 131K
- Max output
- 16.4K
- Released
- 2024-12-06
- Input
- $0.1/M
- Output
- $0.32/M
- Cache read
- N/A
Llama 3.1 8B Instruct
meta-llamaMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to leading closed-source models in human evaluations. To read more about the model release, click here. Usage of this model is subject to Meta's Acceptable Use Policy.
- Context
- 131K
- Max output
- 16.4K
- Released
- 2024-07-23
- Input
- $0.02/M
- Output
- $0.04/M
- Cache read
- N/A