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.

Magistral Medium
Mistral AI
Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Grok-3
xAI
2025-02-17

Magistral Medium
Mistral AI
2025-06-10
3 months newer
Performance Metrics
Context window and performance specifications

Grok-3

Magistral Medium
Average performance across 4 common benchmarks

Grok-3

Magistral Medium
Performance comparison across key benchmark categories

Grok-3

Magistral Medium
Grok-3
2024-11-17
Magistral Medium
2025-06-01
Provider Availability & Performance
Available providers and their performance metrics

Grok-3
xAI

Magistral Medium

Grok-3

Magistral Medium