Model Comparison

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

Mistral AI

Devstral Small 1.1

Mistral AI

Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.

Alibaba

QvQ-72B-Preview

Alibaba

2024-12-25

Mistral AI

Devstral Small 1.1

Mistral AI

2025-07-11

6 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Small 1.1

Larger context
Max Context:256.0K
Parameters:24.0B
Alibaba

QvQ-72B-Preview

Max Context:-
Parameters:73.4B

Performance comparison across key benchmark categories

Mistral AI

Devstral Small 1.1

general
+33.2%
53.6%
Alibaba

QvQ-72B-Preview

general
20.4%

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Devstral Small 1.1

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
Alibaba

QvQ-72B-Preview

0 providers
Mistral AI

Devstral Small 1.1

Avg Score:0.0%
Providers:1
Alibaba

QvQ-72B-Preview

Avg Score:0.0%
Providers:0