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

Grok-3
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 2024 (93.3%), AIME 2025 (93.3%), GPQA (84.6%). The model shows particular specialization in general tasks with an average performance of 90.4%. 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.

Llama 3.3 70B Instruct
Meta
Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). The model shows particular specialization in code tasks with an average performance of 89.4%. It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.3 70B Instruct
Meta
2024-12-06

Grok-3
xAI
2025-02-17
2 months newer
Pricing Comparison
Cost per million tokens (USD)

Grok-3

Llama 3.3 70B Instruct
Performance Metrics
Context window and performance specifications

Grok-3

Llama 3.3 70B Instruct
Average performance across 1 common benchmarks

Grok-3

Llama 3.3 70B Instruct
Performance comparison across key benchmark categories

Grok-3

Llama 3.3 70B Instruct
Grok-3
2024-11-17
Provider Availability & Performance
Available providers and their performance metrics

Grok-3
xAI

Llama 3.3 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

Grok-3

Llama 3.3 70B Instruct