Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 4.1% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $0.74 cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
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.
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%). 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.
6 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Llama 4 Maverick
Meta
2025-04-05
Cost per million tokens (USD)
Llama 3.2 3B Instruct
Llama 4 Maverick
Context window and performance specifications
Average performance across 24 common benchmarks
Llama 3.2 3B Instruct
Llama 4 Maverick
Available providers and their performance metrics
Llama 3.2 3B Instruct
DeepInfra
Llama 4 Maverick
Llama 3.2 3B Instruct
Llama 4 Maverick
Llama 3.2 3B Instruct
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Sambanova
Together