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Command R+ vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 3.9% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Command R+. Llama 4 Scout is $0.87 cheaper per million tokens. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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Cohere
Command R+ was developed by Cohere as an advanced language model designed for enterprise applications requiring retrieval-augmented generation. Built to excel at combining external knowledge with language understanding, it serves businesses needing reliable, factually-grounded AI assistance with strong reasoning and multilingual capabilities.
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Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
7 months newer
Command R+
Cohere
2024-08-30
Llama 4 Scout
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Command R+
Input:$0.25
Output:$1.00
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Llama 4 Scout
Input:$0.08
Output:$0.30($0.87 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Command R+
Average Score:75.7%
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Llama 4 Scout
Average Score:79.6%(+3.9%)
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:75.7%
Providers:2
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Llama 4 Scout
Avg Score:79.6%(+3.9%)
Providers:6