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

Qwen2.5 VL 72B Instruct

Alibaba

Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Mistral AI

Ministral 8B Instruct

Mistral AI

2024-10-16

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

3 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Ministral 8B Instruct

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

Qwen2.5 VL 72B Instruct

Max Context:-
Parameters:72.0B

Performance comparison across key benchmark categories

Mistral AI

Ministral 8B Instruct

general
64.7%
math
54.5%
Alibaba

Qwen2.5 VL 72B Instruct

general
+4.9%
69.6%
math
+1.9%
56.5%

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

Qwen2.5 VL 72B Instruct

0 providers
Mistral AI

Ministral 8B Instruct

Avg Score:0.0%
Providers:1
Alibaba

Qwen2.5 VL 72B Instruct

Avg Score:0.0%
Providers:0