Mistral Small 3.1 vs Qwen2.5-VL 72B

Overview

Mistral Small 3.1: Mistral Small 3.1 is Mistral AI's 24-billion-parameter multimodal model, accepting text and image input across a context window of up to 128,000 tokens and published under Apache 2.0. Mistral reports inference speeds of 150 tokens per second and compares it with Gemma 3 and GPT-4o Mini in the same weight class. Its size and licence make it one of the larger models that remains practical to self-host on a single machine.

Qwen2.5-VL 72B: Qwen2.5-VL 72B Instruct is the largest vision-language model in Alibaba's Qwen2.5-VL line, accepting images and video alongside text. Qwen highlights comprehension of videos over an hour long, structured extraction from documents such as invoices, forms and tables, visual grounding returned as bounding boxes or points, and agentic computer and phone use. The published config sets a 32,768-token context, and Qwen advises against YaRN extension here because it degrades temporal and spatial localisation.

Context window: Mistral Small 3.1 accepts up to 128,000 tokens, Qwen2.5-VL 72B up to 128,000. Confirm the limit for your specific deployment channel before relying on it.