Command R
Affordable Cohere model for retrieval-augmented workflows.
Pricing
Specifications
Benchmark Scores
Strengths
- Low cost RAG
- Good grounding
Weaknesses
- Limited reasoning depth
- No multimodal
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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Confidence89%Codestral
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Confidence89%Llama 3.3 70B
Open-weight 70B model competitive with larger closed models.
Why: similar reasoning scores, comparable context window
Confidence88%
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 Mistral Small
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, similar reasoning scores
Confidence91%Command R vs Ministral 8B
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, comparable context window
Confidence90%Command R vs DeepSeek Coder V2
Side-by-side pricing, benchmarks, and capabilities
Why: comparable context window, similar pricing tier
Confidence89%Command R vs Codestral
Side-by-side pricing, benchmarks, and capabilities
Why: similar reasoning scores, similar pricing tier
Confidence89%Command R vs Llama 3.3 70B
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Why: similar reasoning scores, comparable context window
Confidence88%
Best Alternatives
Higher-scoring models with similar capability profiles
Claude 4 Opus
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Why: +27 overall benchmark score, comparable capability profile
Confidence56%GPT-5
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Why: +26 overall benchmark score, comparable capability profile
Confidence63%Claude Opus 4.1
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Why: +26 overall benchmark score, comparable capability profile
Confidence54%Claude 4 Sonnet
Latest Sonnet with improved reasoning and tool use.
Why: +25 overall benchmark score, comparable capability profile
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Cheaper Alternatives
Lower-cost models with comparable attributes
Mistral Small
Compact Mistral for cost-sensitive applications.
Why: Saves $0.35/M combined tokens vs Command R
Confidence91%Ministral 8B
Tiny on-device capable Mistral for edge deployments.
Why: Saves $0.55/M combined tokens vs Command R
Confidence90%DeepSeek Coder V2
Code-specialized DeepSeek for programming tasks.
Why: Saves $0.33/M combined tokens vs Command R
Confidence89%Llama 3.3 70B
Open-weight 70B model competitive with larger closed models.
Why: Saves $0.12/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