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.

Mistral NeMo Instruct
Mistral AI
Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). The model shows particular specialization in reasoning tasks with an average performance of 80.2%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral NeMo Instruct
Mistral AI
2024-07-18

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

Grok-4

Mistral NeMo Instruct
Performance Metrics
Context window and performance specifications

Grok-4

Mistral NeMo Instruct
Performance comparison across key benchmark categories

Grok-4

Mistral NeMo Instruct
Grok-4
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics

Grok-4
xAI
ZeroEval

Mistral NeMo Instruct
Mistral AI

Grok-4

Mistral NeMo Instruct