Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Mistral AI
Mistral Small 3.1 is a 24-billion-parameter multimodal model from Mistral AI, released in March 2025 as an update to Mistral Small 3 that added vision understanding and expanded the context window from 32K to 128K tokens. The model accepts both text and image inputs, broadening its applicability to document analysis, image-grounded reasoning, and mixed-media workflows without requiring an increase in parameter count. Released under Apache 2.0, it continued Mistral's pattern of incremental capability gains delivered in compact, practically deployable open-weight packages.
Alibaba / Qwen
Qwen3-VL-235B-A22B, released by Alibaba's Qwen team in September 2025, is a natively multimodal Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters. It features a 256K token context window (with extrapolation to 1M tokens), native support for text, image, and video input, and joint visual-textual reasoning capabilities. Qwen3-VL-235B targets complex visual reasoning, video understanding, and multimodal agentic tasks under the Apache 2.0 license.
6 months newer

Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
Context window and performance specifications
Available providers and their performance metrics
Mistral Small 3.1 24B Instruct
Qwen3-VL-235B-A22B
OpenRouter
Mistral Small 3.1 24B Instruct
Qwen3-VL-235B-A22B
Mistral Small 3.1 24B Instruct
Qwen3-VL-235B-A22B