LLaMA 4 Scout is a 17-billion parameter model leveraging a Mixture-of-Experts architecture with 16 active experts, positioning it as the top multimodal model in its category. It consistently outperforms competitors like Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1 across diverse benchmark tasks. Despite its performance, LLaMA 4 Scout is remarkably efficient—capable of running on a single NVIDIA H100 GPU with Int4 quantization. It also boasts an industry-leading 10 million token context window and is natively multimodal, seamlessly processing text, images, and video inputs for advanced real-world applications.
Claude 3.5 Haiku, developed by Anthropic, offers a 200,000-token context window. Pricing is set at $1 per million input tokens and $5 per million output tokens, with potential savings of up to 90% through prompt caching and 50% via the Message Batches API. Released on November 4, 2024, this model excels in code completion, interactive chatbots, data extraction and labeling, as well as real-time content moderation.
| Llama 4 Scout | Claude 3.5 Haiku | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Apr 05, 2025 2 weeks ago | Nov 04, 2024 5 months ago |
Modalities | text images video | text |
API Providers | Meta AI, Hugging Face, Fireworks, Together, DeepInfra | Anthropic, AWS Bedrock, Vertex AI |
Knowledge Cut-off Date | 2025-04 | 01.04.2024 |
Open Source | Yes (Source) | No |
Pricing Input | Not available | $0.80 per million tokens |
Pricing Output | Not available | $4.00 |
MMLU | Not available | Not available |
MMLU Pro | 74.3% Reasoning & Knowledge Source | 65% 0-shot CoT Source |
MMMU | 69.4% Image Reasoning Source | Not available |
HellaSwag | Not available | Not available |
HumanEval | Not available | 88.1% 0-shot Source |
MATH | Not available | 69.4% 0-shot CoT Source |
GPQA | 57.2% Diamond Source | Not available |
IFEval | Not available | Not available |
Mobile Application | - |
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