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Gemma 3 12B vs GLM-4.6
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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Zhipu AI
GLM-4.6, released by Zhipu AI in September 2025, is a large language model with approximately 357 billion parameters from the GLM-4 family, featuring an expanded 200K token context window. It supports strong mathematical reasoning, coding, and agentic orchestration tasks. GLM-4.6 targets enterprise-ready open-source deployments under an MIT license, with availability through Zhipu AI's Z.ai platform.
6 months newer
Gemma 3 12B
Google DeepMind
2025-03-12
GLM-4.6
Zhipu AI
2025-09-30
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 12B
0 providers
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GLM-4.6
1 providers
Zhipu AI
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Gemma 3 12B
Avg Score:0.0%
Providers:0
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GLM-4.6
Avg Score:0.0%
Providers:1