Command A Intelligence, Performance & Price Analysis
Model summary
Verbosity
Command A is above average in intelligence, but particularly expensive when comparing to other open weight non-reasoning models of similar size. The model supports text input, outputs text, and has a 256k tokens context window.
Command A scores 7 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (median: 7).
Pricing for Command A is $2.50 per 1M input tokens (expensive, median: $0.45) and $10.00 per 1M output tokens (expensive, median: $0.71).
At 51 tokens per second, Command A is slower than average (72).
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 256k ~384 A4 pages of size 12 Arial font |
| Total parameters | 111B |
| License | CC-BY-NC 4.0 License with Acceptable Use Addendum |
| 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
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Index vs. Cost per Task
Evaluations
Agentic knowledge work, Elo
Knowledge
1 - hallucination rate
Agentic SaaS workflows
Agentic real-world work tasks, Elo
Reasoning & knowledge
Professional document reasoning, All-pass
Agentic coding & terminal use
Long context reasoning
Coding
Physics reasoning
Agentic scientific research workflows in a terminal
Agentic software engineering in open-source repositories
Quantitative analysis on spreadsheets & documents
Legal agentic work, Hallucination-Gated All-Pass Rate
Agentic business operations
Agentic interactive 3D experiences, Elo
Kubernetes incident root-cause analysis
Medical long context reasoning
Visual reasoning
Rich, varied, well-crafted language
Well-structured, scannable, answer-first
Truthful, acknowledges uncertainty, non-sycophantic
Use of filler and generic language
AA-Omniscience
AA-Omniscience Index
Openness Index
Artificial Analysis Openness Index: Score
Intelligence Index Comparisons
Intelligence Index vs. Cost per Task
Cost
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window
Context Window
Speed
Measured by Output Speed (tokens per second)
Output Speed
Time per Intelligence Index Task
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 March 13, 2025.
Command A was created by Cohere.
Command A scores 7 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other open weight non-reasoning models of similar size (median: 7).
Command A generates output at 50.5 tokens per second (based on Cohere's API), which is below average compared to other open weight non-reasoning models of similar size (median: 71.8 t/s).
Command A has a time to first token (TTFT) of 1.72s (based on Cohere's API), which is better than average compared to other open weight non-reasoning models of similar size (median: 1.92s).
Command A costs $2.50 per 1M input tokens (at the higher end, median: $0.45) and $10.00 per 1M output tokens (at the higher end, median: $0.71), based on Cohere's API.
Command A costs $2.50 per 1M input tokens and $10.00 per 1M output tokens (based on Cohere's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $3.25 per 1M tokens. Pricing may vary by provider. Compare provider pricing
No, Command A is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Command A supports text input.
Command A supports text output.
No, Command A does not support image input. It can only process text.
No, Command A is not multimodal. It only supports text input.
Command A has a context window of 260k 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 111 billion parameters.
Command A is released under the CC-BY-NC 4.0 License with Acceptable Use Addendum license. This license does not allow commercial use. View license
Command A achieves a score of 7 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Command A is available via API through 2 providers. Compare API providers
Command A is available through 2 API providers. Compare providers