Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Grok-4
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.

Llama 3.1 405B Instruct
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.1 405B Instruct
Meta
2024-07-23

Grok-4
xAI
2025-07-09
11 months newer
Pricing Comparison
Cost per million tokens (USD)

Grok-4

Llama 3.1 405B Instruct
Performance Metrics
Context window and performance specifications

Grok-4

Llama 3.1 405B Instruct
Average performance across 1 common benchmarks

Grok-4

Llama 3.1 405B Instruct
Performance comparison across key benchmark categories

Grok-4

Llama 3.1 405B Instruct
Grok-4
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics

Grok-4
xAI
ZeroEval

Llama 3.1 405B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock
Lambda
Replicate

Grok-4

Llama 3.1 405B Instruct