Model Comparison

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

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.

Alibaba

QvQ-72B-Preview

Alibaba

QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, it represents Alibaba's latest advancement in AI technology.

Mistral AI

Ministral 8B Instruct

Mistral AI

2024-10-16

Alibaba

QvQ-72B-Preview

Alibaba

2024-12-25

2 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Ministral 8B Instruct

Larger context
Max Context:256.0K
Parameters:8.0B
Alibaba

QvQ-72B-Preview

Max Context:-
Parameters:73.4B

Performance comparison across key benchmark categories

Mistral AI

Ministral 8B Instruct

general
+44.3%
64.7%
math
+0.9%
54.5%
Alibaba

QvQ-72B-Preview

general
20.4%
math
53.6%

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Ministral 8B Instruct

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.18ms
Alibaba

QvQ-72B-Preview

0 providers
Mistral AI

Ministral 8B Instruct

Avg Score:0.0%
Providers:1
Alibaba

QvQ-72B-Preview

Avg Score:0.0%
Providers:0