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Governed Profile

Command A

Command A is a premium model with long context support, suited to code generation and agent workflows for enterprise teams.

Try Command A with your team

Last reviewed: 2026-09-02

Command A

Cohere

Stable
Context Window
256,000
Input / 1M
$3.75
Output / 1M
$15.00

What can you do with Command A?

Practical ways teams can use Command A inside governed AI workflows.

01

Code and debug with Command A

Draft features, explain unfamiliar code, generate tests, review pull requests, and reason through implementation tradeoffs with Command A.

02

Build workflow automations with Command A

Plan agent steps, transform data between tools, create structured outputs, and support repeatable operations with Command A.

03

Improve security reviews with Command A

Classify risk, draft incident summaries, review access patterns, and create remediation action lists with Command A.

04

Summarize long documents with Command A

Condense contracts, policies, technical specs, RFPs, and research reports into decision-ready summaries with Command A.

05

Create presentations with Command A

Turn notes, research, and meeting outcomes into structured slide outlines, speaker notes, and executive narratives with Command A.

06

Analyze spreadsheets with Command A

Interpret CSV exports, explain variance, generate formulas, and identify operational or financial patterns with Command A.

07

Draft customer communications with Command A

Create support replies, sales follow-ups, onboarding emails, renewal messages, and account updates with Command A.

08

Prepare legal and compliance reviews with Command A

Extract obligations, flag risky clauses, compare policy language, and prepare review checklists with Command A.

09

Research competitors and markets with Command A

Synthesize market signals, positioning, pricing context, customer segments, and competitive risks with Command A.

10

Create knowledge-base answers with Command A

Answer employee questions from internal policies, product docs, training material, and operating procedures with Command A.

11

Support finance planning with Command A

Draft budget narratives, explain spend drivers, create forecast assumptions, and summarize vendor costs with Command A.

12

Generate product and marketing copy with Command A

Create landing-page drafts, positioning variants, launch messaging, ad concepts, and campaign briefs with Command A.

Why this model

Command A is available in Remova as a long context option with $3.75 per 1M tokens input pricing, $15.00 per 1M tokens output pricing, and text input to text output support.

  • Command A offers long context capacity for enterprise prompts and documents.
  • Current Remova pricing band is premium: $3.75 per 1M tokens input and $15.00 per 1M tokens output.
  • Best-fit workloads include: Code generation, Agent workflows.
  • Keep audit logs enabled for high-impact use cases.

At a glance

Model ID
cohere/command-a
Context Window
256,000 tokens
Modality
Text input to text output
Input Modalities
Text
Output Modalities
Text
Input Price
$3.75 per 1M tokens
Output Price
$15.00 per 1M tokens
Provider
Cohere
Listing Date
2025-03-13

Strengths

  • Command A is suited for code generation.
  • Supports long context for multi-step prompts and larger working sets.
  • Pricing profile is premium, enabling predictable workload routing decisions.
  • Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

  • Prompt standards are still needed to keep output quality consistent across teams.
  • Long-context prompts can increase spend and latency if prompts are not scoped carefully.
  • Premium tiers should be restricted to high-value workflows to avoid unnecessary spend concentration.
  • Text-only modality can limit workflows that rely on image, audio, or document interpretation.

Best for

  • Command A for software delivery workflows with policy-enforced prompts.
  • Command A for tool-driven automation with governance checkpoints.
  • Command A for repeatable team workflows that need budget and access governance.
  • Command A for productivity use cases that still need review and escalation paths.

Rollout checklist

  • Define where Command A is default vs. fallback in your routing policy.
  • Enable role-based access and policy checks before opening access broadly.
  • Set spend guardrails by team and monitor weekly token consumption.
  • Start with approved teams, then expand in controlled waves.
  • Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

Free Resource

Where Should Your Team Start with AI?

Tell us your industry and team size. We'll tell you which AI use cases will save the most time with the least setup.

You get

A shortlist of AI use cases ranked by impact and effort for your situation.

Tuning notes

frequency_penalty

Tune repetition control for long responses in multi-step workflows.

max_tokens

Set completion limits to avoid unpredictable long-output spend.

presence_penalty

Use carefully when expanding idea diversity in exploration-heavy prompts.

response_format

Prefer structured output where responses feed internal systems.

Free Assessment

What Could Go Wrong?

5 questions about how your company uses AI today. We'll show you the risks most companies miss until it's too late.

You get

A risk breakdown with the 3 things you should fix first.

Book demo
Knowledge Hub

Command A FAQs

Choose Command A when the workload aligns with code generation, agent workflows and quality targets justify its pricing profile.
It depends on workload mix. Most organizations use routing policies so routine traffic stays on lower-cost tiers.
Validate quality on real internal prompts, token efficiency, latency, and policy compliance behavior.

Deploy This Model With Governance

Use policy controls, role-based access, and budget guardrails before enabling advanced model tiers at scale.

Try Command A with your team