Command A
ActiveCohere's most capable model with 256K context, optimized for enterprise agentic tasks.
Overview
Command A is Cohere's 111B dense model designed to run efficiently on just two A100/H100 GPUs. It features a 256K context window, strong RAG performance, and both reasoning and vision variants. Released March 2025.
History
Command A became available via the Cohere API on 2025-03-13.
Training & availability
Training data has a knowledge cutoff of 2024-08-31 — information about events after that date is unlikely to appear in the model's responses. Cohere has not released the underlying model weights — access is via their hosted API only.
Capabilities
-
Context window: 256K tokens.
-
Max output: 8K tokens.
-
Input modalities: text.
Recommended for: agentic, long-context.
Limitations
-
The knowledge cutoff is 19 months old — this model will not know about recent events, releases, or API changes.
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Text-only — cannot process images, audio, or video inputs.
Pricing
- Input: $2.5000 per 1M tokens
- Output: $10.0000 per 1M tokens
Use the cost calculator above to estimate monthly spend for your workload.
Quick start
Minimal example using the OpenRouter API. Copy, paste, replace the key.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="sk-or-...",
)
resp = client.chat.completions.create(
model="cohere/command-a",
messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)Cost calculator
Estimate your monthly bill. Presets are typical workload sizes.
Popularity
Signals from open-source communities — not a quality measure, but useful for gauging adoption among developers.
Integrations & tooling support
- Tool calling
- Supported
- Structured outputs
- Supported
Price vs quality
Priced like a frontier model. Quality tier pending more benchmark coverage.
- Quality percentile
- —
- Effective price
- $8.13/1M
- Pricing breakdown
- $2.5/1M in
$10/1M out
Community ratings
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Comments
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