Command R+
Cohere model optimized for RAG and enterprise search.
Pricing
Specifications
Benchmark Scores
Strengths
- Excellent RAG
- Citation grounding
- Enterprise focus
Weaknesses
- No vision
- Higher output cost
Historical Intelligence
Pricing, context, and benchmark trends over time
Pricing History
Input and output price per million tokens over time
Context Window Growth
Context window tokens over time
Coding Score Progress
Benchmark score over time (0–100)
Reasoning Score Progress
Benchmark score over time (0–100)
Command R+ Evolution
Combined pricing trend and benchmark performance
Command R+ vs related models
Capability radar vs semantically related catalog models
Intelligence Graph
Provider hub →Provider Overview
Cohere builds enterprise AI focused on retrieval-augmented generation, search, and agentic workflows with strong citation grounding.
3 models tracked · Documentation
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Confidence88%DeepSeek V3 0324
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Why: comparable context window
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Recommended Comparisons
Side-by-side analysis with semantically similar models
Command R+ vs Command R
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (Cohere), comparable context window
Confidence94%Command R+ vs Command A
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (Cohere), similar coding performance
Confidence90%Command R+ vs Llama 3.3 70B
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, similar reasoning scores
Confidence89%Command R+ vs DeepSeek V3
Side-by-side pricing, benchmarks, and capabilities
Why: comparable capability profile
Confidence88%Command R+ vs Llama 3.1 405B
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, similar reasoning scores
Confidence88%Command R+ vs DeepSeek V3 0324
Side-by-side pricing, benchmarks, and capabilities
Why: comparable context window
Confidence88%
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Cheaper Alternatives
Lower-cost models with comparable attributes
Command R
Affordable Cohere model for retrieval-augmented workflows.
Why: Saves $11.75/M combined tokens vs Command R+
Confidence94%Llama 3.3 70B
Open-weight 70B model competitive with larger closed models.
Why: Saves $11.87/M combined tokens vs Command R+
Confidence89%DeepSeek V3
Highly efficient MoE model rivaling frontier closed models.
Why: Saves $11.13/M combined tokens vs Command R+
Confidence88%Llama 3.1 405B
Largest open-weight Llama for maximum capability.
Why: Saves $11.45/M combined tokens vs Command R+
Confidence88%
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Why: 128K context window analysis
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Timeline Highlights
Latest Releases
Recent launches from related providers