Model Comparison

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

xAI

Grok-4 Heavy

xAI

Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). The model shows particular specialization in general tasks with an average performance of 79.5%. 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 AI

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.

Mistral AI

Ministral 8B Instruct

Mistral AI

2024-10-16

xAI

Grok-4 Heavy

xAI

2025-07-09

8 months newer

Performance Metrics

Context window and performance specifications

xAI

Grok-4 Heavy

Max Context:-
Mistral AI

Ministral 8B Instruct

Larger context
Max Context:256.0K
Parameters:8.0B

Performance comparison across key benchmark categories

xAI

Grok-4 Heavy

general
+14.8%
79.5%
code
+28.4%
79.4%
Mistral AI

Ministral 8B Instruct

general
64.7%
code
51.0%
Knowledge Cutoff
Training data recency comparison

Grok-4 Heavy

2024-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

xAI

Grok-4 Heavy

0 providers
Mistral AI

Ministral 8B Instruct

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.18ms
xAI

Grok-4 Heavy

Avg Score:0.0%
Providers:0
Mistral AI

Ministral 8B Instruct

Avg Score:0.0%
Providers:1