Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 18.7% higher average benchmark score. Grok-4 offers 8.0K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $17.97 cheaper per million tokens. Grok-4 supports multimodal inputs. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
xAI
Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.
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.
9 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Grok-4
xAI
2025-07-09
Cost per million tokens (USD)
Grok-4
Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 21 common benchmarks
Grok-4
Llama 3.2 3B Instruct
Grok-4
2024-12-31
Available providers and their performance metrics
Grok-4
xAI
ZeroEval
Grok-4
Llama 3.2 3B Instruct
Grok-4
Llama 3.2 3B Instruct
Llama 3.2 3B Instruct
DeepInfra