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Gemma 3 12B vs Qwen3 Coder Next
Comprehensive side-by-side LLM comparison
Gemma 3 12B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Google DeepMind
Gemma 3 12B is a 12-billion-parameter open-weight model from Google DeepMind, released in March 2025 as part of the Gemma 3 series designed to bring multimodal reasoning to accessible hardware. The model supports both text and image inputs across a 128K token context window, extending the vision capabilities that defined the Gemma 3 generation compared to earlier text-only Gemma releases. It became widely adopted for domain-specific fine-tuning in research and enterprise settings where full multimodal capability was needed without the infrastructure demands of larger frontier models.
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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.
10 months newer
Gemma 3 12B
Google DeepMind
2025-03-12
Qwen3 Coder Next
Alibaba / Qwen
2026-02-04
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 12B
0 providers
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Qwen3 Coder Next
0 providers
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Gemma 3 12B
Avg Score:0.0%
Providers:0
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Qwen3 Coder Next
Avg Score:0.0%
Providers:0