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Gemma 3n E4B Instructed vs Grok-4 Heavy
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 13.3% 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-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). 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.
13 days newer
Gemma 3n E4B Instructed
2025-06-26
Grok-4 Heavy
xAI
2025-07-09
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Gemma 3n E4B Instructed
Average Score:36.0%(+13.3%)
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Grok-4 Heavy
Average Score:22.7%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
2024-06-01
Grok-4 Heavy
2024-12-31
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-4 Heavy
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Gemma 3n E4B Instructed
Avg Score:36.0%(+13.3%)
Providers:1
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Grok-4 Heavy
Avg Score:22.7%
Providers:0