Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Llama 3.2 3B Instruct
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 4 Maverick
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). The model shows particular specialization in vision tasks with an average performance of 75.8%. With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.

Llama 3.2 3B Instruct
Meta
2024-09-25

Llama 4 Maverick
Meta
2025-04-05
6 months newer
Pricing Comparison
Cost per million tokens (USD)

Llama 3.2 3B Instruct

Llama 4 Maverick
Performance Metrics
Context window and performance specifications

Llama 3.2 3B Instruct

Llama 4 Maverick
Average performance across 4 common benchmarks

Llama 3.2 3B Instruct

Llama 4 Maverick
Performance comparison across key benchmark categories

Llama 3.2 3B Instruct

Llama 4 Maverick
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.2 3B Instruct
DeepInfra

Llama 4 Maverick
Sambanova
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

Llama 3.2 3B Instruct

Llama 4 Maverick