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Command R+ vs Gemma 3n E2B
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 14.1% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Command R+ is available on 2 providers. Overall, Gemma 3n E2B is the stronger choice for coding tasks.
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Cohere
Command R+ is a language model developed by Cohere. It achieves strong performance with an average score of 74.6% across 6 benchmarks. It excels particularly in HellaSwag (88.6%), Winogrande (85.4%), MMLU (75.7%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Cohere's latest advancement in AI technology.
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Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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.
10 months newer
Command R+
Cohere
2024-08-30
Gemma 3n E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Command R+
Average Score:32.0%
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Gemma 3n E2B
Average Score:46.1%(+14.1%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
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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Command R+
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cohere
Throughput: 59 tok/s
Latency: 0.65ms
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Command R+
Avg Score:32.0%
Providers:2
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Gemma 3n E2B
Avg Score:46.1%(+14.1%)
Providers:0