Comprehensive side-by-side LLM comparison
Grok 4 Fast leads with 55.3% higher average benchmark score. Grok 4 Fast offers 1.8M more tokens in context window than Llama 3.1 8B Instruct. Llama 3.1 8B Instruct is $0.64 cheaper per million tokens. Grok 4 Fast supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, Grok 4 Fast is the stronger choice for coding tasks.
xAI
Grok 4 Fast is a multimodal language model developed by xAI. It achieves strong performance with an average score of 73.0% across 7 benchmarks. It excels particularly in SimpleQA (95.0%), HMMT 2025 (93.3%), AIME 2025 (92.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. 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 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
1 year newer

Llama 3.1 8B Instruct
Meta
2024-07-23

Grok 4 Fast
xAI
2025-08-28
Cost per million tokens (USD)

Grok 4 Fast

Llama 3.1 8B Instruct
Context window and performance specifications
Average performance across 1 common benchmarks

Grok 4 Fast

Llama 3.1 8B Instruct
Llama 3.1 8B Instruct
2023-12-31
Available providers and their performance metrics

Grok 4 Fast
xAI

Llama 3.1 8B Instruct

Grok 4 Fast

Llama 3.1 8B Instruct

Grok 4 Fast

Llama 3.1 8B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Hyperbolic
Lambda
Sambanova
Together