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Gemma 3n E4B Instructed vs Grok-1.5V
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 10.1% higher average benchmark score. Overall, Gemma 3n E4B Instructed is the stronger choice for coding tasks.
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Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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 Google's latest advancement in AI technology.
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xAI
Grok-1.5V is a multimodal language model developed by xAI. It achieves strong performance with an average score of 71.9% across 7 benchmarks. It excels particularly in AI2D (88.3%), DocVQA (85.6%), TextVQA (78.1%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.
1 year newer
Grok-1.5V
xAI
2024-04-12
Gemma 3n E4B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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Gemma 3n E4B Instructed
Average Score:30.3%(+10.1%)
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Grok-1.5V
Average Score:20.1%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
2024-06-01
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 3n E4B Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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Grok-1.5V
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Gemma 3n E4B Instructed
Avg Score:30.3%(+10.1%)
Providers:1
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Grok-1.5V
Avg Score:20.1%
Providers:0