Model Comparison

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

Mistral AI

Pixtral Large

Mistral AI

Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). The model shows particular specialization in general tasks with an average performance of 91.0%. It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Alibaba

Qwen2 7B Instruct

Alibaba

Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2 7B Instruct

Alibaba

2024-07-23

Mistral AI

Pixtral Large

Mistral AI

2024-11-18

3 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Pixtral Large

Larger context
Max Context:256.0K
Parameters:124.0B
Alibaba

Qwen2 7B Instruct

Max Context:-
Parameters:7.6B

Performance comparison across key benchmark categories

Mistral AI

Pixtral Large

general
+41.6%
91.0%
roleplay
74.0%
math
+3.4%
69.4%
Alibaba

Qwen2 7B Instruct

general
49.4%
roleplay
+10.1%
84.1%
math
66.0%

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Pixtral Large

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Alibaba

Qwen2 7B Instruct

0 providers
Mistral AI

Pixtral Large

Avg Score:0.0%
Providers:1
Alibaba

Qwen2 7B Instruct

Avg Score:0.0%
Providers:0