Command R — Cohere | Modeldex

Command R

Active

Efficient mid-size model from Cohere for RAG and agentic tasks.

Updated 4 days agoStructured data from Modeldex catalog

AgenticBudget

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

Command R is Cohere's cost-effective model for retrieval-augmented generation, tool use, and multi-step agent pipelines at scale.

History

Command R was released on 2024-03-11.

Training & availability

Cohere has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 128K tokens.
Max output: 4K tokens.
Input modalities: text.

Recommended for: agentic, cheap.

Limitations

Text-only — cannot process images, audio, or video inputs.

Pricing

Input: $0.1500 per 1M tokens
Output: $0.6000 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-r",
    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.

Input tokens / month5.0M

@ $0.15/1M

Output tokens / month2.0M

@ $0.6/1M

Input cost

$0.75

5.0M × $0.15/1M

Output cost

$1.2

2.0M × $0.6/1M

Total / month

$1.95

$23.4 / year

Integrations & tooling support

Tool calling: Supported
Structured outputs: Not supported

Price vs quality

Budget pricing

Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.