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Command R+ vs Gemini 1.0 Pro
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Command R+ offers 215.0K more tokens in context window than Gemini 1.0 Pro. Command R+ is $0.75 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
6 months newer
Gemini 1.0 Pro
2024-02-15
Command R+
Cohere
2024-08-30
Pricing Comparison
Cost per million tokens (USD)
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Command R+
Input:$0.25
Output:$1.00($0.75 cheaper)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Command R+
Average Score:32.0%(+0.9%)
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Gemini 1.0 Pro
Average Score:31.1%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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%(+0.9%)
Providers:2
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Gemini 1.0 Pro
Avg Score:31.1%
Providers:1