Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.1, released by DeepSeek in August 2025, is a hybrid large language model with 671 billion total parameters (37 billion active) that unifies the capabilities of DeepSeek-V3 and DeepSeek-R1 in a single model. It features a 128K token context window and supports both direct generation and extended reasoning modes selectable via the chat template. DeepSeek-V3.1 targets general-purpose tasks, coding, and complex reasoning under an open MIT license.
Alibaba / Qwen
Qwen3 Coder Next is a coding-specialized open-weight model from Alibaba's Qwen3 family, built on the Qwen3-Next architecture with hybrid attention and Mixture-of-Experts design optimized for local development and agentic coding workflows. It targets on-device and self-hosted deployments requiring a capable coding agent that can operate within consumer hardware constraints.
5 months newer

DeepSeek-V3.1
DeepSeek
2025-08-21
Qwen3 Coder Next
Alibaba / Qwen
2026-02-04
Context window and performance specifications
Available providers and their performance metrics
DeepSeek-V3.1
DeepSeek
Qwen3 Coder Next
DeepSeek-V3.1
Qwen3 Coder Next
DeepSeek-V3.1
Qwen3 Coder Next