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Command R+ vs Gemma 3 27B
Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 40.4% higher average benchmark score. Gemma 3 27B offers 6.1K more tokens in context window than Command R+. Gemma 3 27B is $0.95 cheaper per million tokens. Gemma 3 27B supports multimodal inputs. Overall, Gemma 3 27B 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 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K 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 Google's latest advancement in AI technology.
6 months newer
Command R+
Cohere
2024-08-30
Gemma 3 27B
2025-03-12
Pricing Comparison
Cost per million tokens (USD)
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Command R+
Input:$0.25
Output:$1.00
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Gemma 3 27B
Input:$0.10
Output:$0.20($0.95 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
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Command R+
Average Score:14.4%
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Gemma 3 27B
Average Score:54.9%(+40.4%)
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:14.4%
Providers:2
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Gemma 3 27B
Avg Score:54.9%(+40.4%)
Providers:2