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Command R+ vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini offers 44.0K more tokens in context window than Command R+. Command R+ is $4.25 cheaper per million tokens. o4-mini supports multimodal inputs. 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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OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
7 months newer
Command R+
Cohere
2024-08-30
o4-mini
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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Command R+
Input:$0.25
Output:$1.00($4.25 cheaper)
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o4-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
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:0.0%
Providers:2
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o4-mini
Avg Score:0.0%
Providers:1