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

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

Mistral Large 2

Mistral AI

2024-07-24

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

6 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Mistral Large 2

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

Qwen2.5 VL 72B Instruct

Max Context:-
Parameters:72.0B

Performance comparison across key benchmark categories

Mistral AI

Mistral Large 2

math
+36.5%
93.0%
general
+13.8%
83.4%
Alibaba

Qwen2.5 VL 72B Instruct

math
56.5%
general
69.6%

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

Qwen2.5 VL 72B Instruct

0 providers
Mistral AI

Mistral Large 2

Avg Score:0.0%
Providers:2
Alibaba

Qwen2.5 VL 72B Instruct

Avg Score:0.0%
Providers:0