Comprehensive side-by-side LLM comparison
Qwen3.5-397B-A17B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Mistral AI
Mistral Small 3 is a 24-billion-parameter open-weight language model from Mistral AI, released in January 2025 as an update to the Mistral Small line with targeted improvements to instruction-following, multilingual reasoning, and structured output quality. Released under Apache 2.0, it was designed for deployment on a single high-VRAM GPU, continuing Mistral's focus on practical efficiency over maximum scale. The model became a widely-used option for teams building internal tooling, customer-facing applications, and local inference pipelines that needed strong general capability without the operational overhead of larger models.
Alibaba / Qwen
Qwen3.5-397B-A17B is a 397-billion-parameter mixture-of-experts model from Alibaba's Qwen team, released in February 2026 as the open-weight flagship of the Qwen3.5 series, featuring 17 billion active parameters per forward pass through a hybrid linear-attention and sparse-MoE architecture based on Gated Delta Networks. The model was co-trained on text, images, and video using early fusion, making it natively multimodal across a 262K token context window, while achieving significantly higher inference throughput than comparable dense models due to its sparse computation design. At release it was one of the most capable open-weight models publicly available, offered under Apache 2.0 and accessible through Alibaba's DashScope API as the Qwen3.5-Plus endpoint.
1 year newer

Mistral Small 3 24B
Mistral AI
2025-01-30
Qwen3.5-397B-A17B
Alibaba / Qwen
2026-02-16
Available providers and their performance metrics
Mistral Small 3 24B
Qwen3.5-397B-A17B
Mistral Small 3 24B
Qwen3.5-397B-A17B