Command-R (Mar '24) Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: This information is still being updated |
| Output modality | This information is still being updated |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
| Total parameters | 35B |
| License | CC-BY-NC 4.0 License with Acceptable Use Addendum |
| Model weights | Hugging Face |
Command-R (Mar '24) is among the least intelligent models and particularly expensive when comparing to other open weight non-reasoning models of similar size. The model has a 128k tokens context window.
Command-R (Mar '24) scores 7 on the Artificial Analysis Intelligence Index, placing it at the lower end among comparable models (averaging 12). When evaluating the Intelligence Index, it generated 920k tokens, which is very concise in comparison to the average of 5.6M.
Pricing for Command-R (Mar '24) is $0.50 per 1M input tokens (expensive, average: $0.09) and $1.50 per 1M output tokens (expensive, average: $0.20). In total, it cost $2.05 to evaluate Command-R (Mar '24) on the Intelligence Index.
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Command-R (Mar '24) API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about Command-R (Mar '24)
Command-R (Mar '24) was released on March 12, 2024.
Command-R (Mar '24) was created by Cohere.
Command-R (Mar '24) scores 7 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 12).
Command-R (Mar '24) costs $0.50 per 1M input tokens (at the higher end, median: $0.17) and $1.50 per 1M output tokens (at the higher end, median: $0.45), based on the median across providers serving the model.
Command-R (Mar '24) costs $0.50 per 1M input tokens and $1.50 per 1M output tokens (based on the median across providers serving the model). For a blended rate (3:1 input to output ratio), this is $0.75 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Command-R (Mar '24) generated 920k output tokens, which is very competitive compared to other open weight non-reasoning models of similar size (median: 5.6M).
No, Command-R (Mar '24) is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Command-R (Mar '24) supports text only input.
Command-R (Mar '24) supports text only output.
No, Command-R (Mar '24) does not support image input. It can only process text.
No, Command-R (Mar '24) is not multimodal. It only supports text only input.
Command-R (Mar '24) has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Command-R (Mar '24) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Command-R (Mar '24) has 35 billion parameters.
Command-R (Mar '24) is released under the CC-BY-NC 4.0 License with Acceptable Use Addendum license. Commercial use requires a separate license agreement. View license
Command-R (Mar '24) achieves a score of 7 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Command-R (Mar '24) is available via API through 1 provider. Compare API providers
Command-R (Mar '24) is available through 1 API provider. Compare providers