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

Qwen2.5-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). 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

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

Mistral AI

Pixtral Large

Mistral AI

2024-11-18

2 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Pixtral Large

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

Qwen2.5-Coder 7B Instruct

Max Context:-
Parameters:7.0B

Performance comparison across key benchmark categories

Mistral AI

Pixtral Large

general
+38.7%
91.0%
math
+4.1%
69.4%
Alibaba

Qwen2.5-Coder 7B Instruct

general
52.3%
math
65.3%

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

Qwen2.5-Coder 7B Instruct

0 providers
Mistral AI

Pixtral Large

Avg Score:0.0%
Providers:1
Alibaba

Qwen2.5-Coder 7B Instruct

Avg Score:0.0%
Providers:0