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

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.

Qwen2.5-Omni-7B
Alibaba
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). The model shows particular specialization in code tasks with an average performance of 76.0%. 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 2025, it represents Alibaba's latest advancement in AI technology.

Mistral Large 2
Mistral AI
2024-07-24

Qwen2.5-Omni-7B
Alibaba
2025-03-27
8 months newer
Performance Metrics
Context window and performance specifications

Mistral Large 2

Qwen2.5-Omni-7B
Average performance across 2 common benchmarks

Mistral Large 2

Qwen2.5-Omni-7B
Performance comparison across key benchmark categories

Mistral Large 2

Qwen2.5-Omni-7B
Provider Availability & Performance
Available providers and their performance metrics

Mistral Large 2
Mistral AI

Qwen2.5-Omni-7B

Mistral Large 2

Qwen2.5-Omni-7B