Comprehensive side-by-side LLM comparison
Grok 4 Fast leads with 35.0% higher average benchmark score. Grok 4 Fast offers 1.8M more tokens in context window than Llama 3.1 405B Instruct. Grok 4 Fast is $1.08 cheaper per million tokens. Grok 4 Fast supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 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 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
1 year newer

Llama 3.1 405B Instruct
Meta
2024-07-23

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

Grok 4 Fast

Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 1 common benchmarks

Grok 4 Fast

Llama 3.1 405B Instruct
Available providers and their performance metrics

Grok 4 Fast
xAI

Llama 3.1 405B Instruct

Grok 4 Fast

Llama 3.1 405B Instruct

Grok 4 Fast

Llama 3.1 405B Instruct
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