Command A+ Intelligence, Performance & Price Analysis
Model summary
Intelligence
Speed
Input Price
USD per 1M tokens
Cache: $0.00 (NaN%)
Output Price
Verbosity
Command A+ is above average in intelligence and well priced when comparing to other open weight models of similar size. It's also notably fast, however somewhat verbose. The model supports text and image input, outputs text, and has a 192k tokens context window.
Command A+ scores 37 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (averaging 30). When evaluating the Intelligence Index, it generated 66M tokens, which is somewhat verbose in comparison to the average of 42M.
Pricing for Command A+ is $0.00 per 1M input tokens (competitively priced, average: $0.40) and $0.00 per 1M output tokens (competitively priced, average: $1.67). In total, it cost $0.00 to evaluate Command A+ on the Intelligence Index.
At 270 tokens per second, Command A+ is notably fast (58).
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image |
| Output modality | Supports: text |
| Context window | 192k ~288 A4 pages of size 12 Arial font |
| Total parameters | 218B |
| Active parameters | 25B Number of parameters active per token during inference |
| License | Apache 2.0 |
| Model weights | Hugging Face |
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
Highlights
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (ELO-500)/2000
Agentic coding & terminal use
Agentic tool use
Long context reasoning
Knowledge
1 - hallucination rate
Reasoning & knowledge
Scientific reasoning
Coding
Instruction following
Physics reasoning
Long-horizon agentic tasks
Visual reasoning
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
PricingPricing now includes “Cache Hit Price” with new blend ratios.
Pricing: Cache Hit, Input, and Output
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 A+
Command A+ was released on May 20, 2026.
Command A+ was created by Cohere.
Command A+ scores 37 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 30).
Command A+ generates output at 270.3 tokens per second (based on Cohere's API), which is well above average compared to other open weight models of similar size (median: 58.3 t/s).
Command A+ has a time to first token (TTFT) of 0.25s (based on Cohere's API), which is very competitive compared to other open weight models of similar size (median: 2.39s).
When evaluated on the Intelligence Index, Command A+ generated 66M output tokens, which is somewhat higher than average compared to other open weight models of similar size (median: 42M).
Yes, Command A+ is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Command A+ supports text and image input.
Command A+ supports text output.
Yes, Command A+ supports image input and can analyze, describe, and answer questions about images.
Yes, Command A+ is multimodal. It can process text and image input and generate text output.
Command A+ has a context window of 190k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Command A+ is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Command A+ has 218 billion parameters (25 billion active).
Command A+ is a Mixture of Experts (MoE) model with 218 billion total parameters, but only 25 billion active parameters are used during inference.
Command A+ is released under the Apache 2.0 license. This license allows commercial use. View license
Command A+ achieves a score of 37 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Command A+ is an open weights model that can be self-hosted. View providers
Command A+ is an open weights model that can be downloaded and self-hosted. Compare providers