Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 21.3% higher average benchmark score. Llama 3.2 3B Instruct offers 120.0K more tokens in context window than Grok-3. Llama 3.2 3B Instruct is $17.97 cheaper per million tokens. Grok-3 supports multimodal inputs. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. 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.
4 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Grok-3
xAI
2025-02-17
Cost per million tokens (USD)
Grok-3
Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 19 common benchmarks
Grok-3
Llama 3.2 3B Instruct
Grok-3
2024-11-17
Available providers and their performance metrics
Grok-3
xAI
Llama 3.2 3B Instruct
Grok-3
Llama 3.2 3B Instruct
Grok-3
Llama 3.2 3B Instruct
DeepInfra