Model Comparison

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

Mistral AI

Mistral Large 2

Mistral AI

Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. 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

Mistral Large 2

Mistral AI

2024-07-24

Alibaba

QvQ-72B-Preview

Alibaba

2024-12-25

5 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Mistral Large 2

Larger context
Max Context:256.0K
Parameters:123.0B
Alibaba

QvQ-72B-Preview

Max Context:-
Parameters:73.4B

Performance comparison across key benchmark categories

Mistral AI

Mistral Large 2

math
+39.4%
93.0%
general
+63.0%
83.4%
Alibaba

QvQ-72B-Preview

math
53.6%
general
20.4%

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Mistral Large 2

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Alibaba

QvQ-72B-Preview

0 providers
Mistral AI

Mistral Large 2

Avg Score:0.0%
Providers:2
Alibaba

QvQ-72B-Preview

Avg Score:0.0%
Providers:0