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Gemma 3 1B vs Grok-3 Mini
Comprehensive side-by-side LLM comparison
Gemma 3 1B leads with 9.4% higher average benchmark score. Grok-3 Mini supports multimodal inputs. Overall, Gemma 3 1B is the stronger choice for coding tasks.
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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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xAI
Grok-3 Mini is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 87.8% across 4 benchmarks. It excels particularly in AIME 2024 (95.8%), AIME 2025 (90.8%), GPQA (84.0%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.
23 days newer
Grok-3 Mini
xAI
2025-02-17
Gemma 3 1B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Gemma 3 1B
Average Score:26.9%(+9.4%)
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Grok-3 Mini
Average Score:17.6%
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Knowledge Cutoff
Training data recency comparison
Grok-3 Mini
2024-11-17
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 1B
0 providers
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Grok-3 Mini
1 providers
xAI
Throughput:
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Gemma 3 1B
Avg Score:26.9%(+9.4%)
Providers:0
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Grok-3 Mini
Avg Score:17.6%
Providers:1