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Command R+ vs Grok-2
Comprehensive side-by-side LLM comparison
Grok-2 leads with 12.7% higher average benchmark score. Command R+ offers 120.0K more tokens in context window than Grok-2. Command R+ is $10.75 cheaper per million tokens. Grok-2 supports multimodal inputs. Overall, Grok-2 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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xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K token context window for handling large documents. 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 2024, it represents xAI's latest advancement in AI technology.
17 days newer
Grok-2
xAI
2024-08-13
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($10.75 cheaper)
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Grok-2
Input:$2.00
Output:$10.00
Performance Metrics
Context window and performance specifications
Average performance across 13 common benchmarks
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Command R+
Average Score:34.4%
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Grok-2
Average Score:47.1%(+12.7%)
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:34.4%
Providers:2
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Grok-2
Avg Score:47.1%(+12.7%)
Providers:1