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Gemma 3 1B vs GLM-4.6
Comprehensive side-by-side LLM comparison
Gemma 3 1B leads with 4.6% higher average benchmark score. GLM-4.6 supports multimodal inputs. GLM-4.6 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
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Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
6 months newer
Gemma 3 1B
2025-03-12
GLM-4.6
Zhipu AI
2025-09-30
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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Gemma 3 1B
Average Score:22.4%(+4.6%)
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GLM-4.6
Average Score:17.9%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 1B
0 providers
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GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
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Gemma 3 1B
Avg Score:22.4%(+4.6%)
Providers:0
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GLM-4.6
Avg Score:17.9%
Providers:2