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.

Ministral 8B Instruct
Mistral AI
Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Ministral 8B Instruct
Mistral AI
2024-10-16

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

Grok-4

Ministral 8B Instruct
Performance Metrics
Context window and performance specifications

Grok-4

Ministral 8B Instruct
Performance comparison across key benchmark categories

Grok-4

Ministral 8B Instruct
Grok-4
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics

Grok-4
xAI
ZeroEval

Ministral 8B Instruct
Mistral AI

Grok-4

Ministral 8B Instruct