Command R
Pricing & Specs

Cohere · $0.15 input / $0.6 output per 1M tokens · 128K context window

$0.15
per 1M input tokens
$0.6
per 1M output tokens
128K
context window (tokens)

The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on Command R costs about $0.0004 — roughly $0.45 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.

Command R API Pricing

TokensPrice
Input$0.15 / 1M tokens
Output$0.6 / 1M tokens

No cache pricing is published. Batch pricing is not documented.

What that means in practice

1x One typical task (1K input + 500 output tokens): $0.0004
1K 1,000 runs of that task: $0.45
💡 Real cost depends on how verbose the model is on YOUR prompts — benchmark to measure actual tokens, not estimates.

Command R Specs

SpecValue
Context window128K tokens
Input modalitiestext
Output modalitiestext
Latency (measured by OpenMark)~634ms median response
Reasoning modelNo
Tool / function callingYes
JSON modeYes
StreamingYes
Prompt cachingNo

Capabilities

tool use RAG agents streaming structured outputs

Notes

Blocked by GCP geo-IP false positive (DO IP classified as RU). Ticket open with DO.

FAQ

How much does Command R cost?

Command R costs $0.15 per 1M input tokens and $0.6 per 1M output tokens.

What is Command R's context window?

Command R has a 128K-token context window.

Can I test Command R on my own task?

Yes. OpenMark lets you benchmark Command R against 100+ models on your own task with real API calls — no API keys needed, free tier available.

Is Command R the right model for YOUR task?

Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload — real API calls, real costs. Free tier available.

Benchmark Command R — Free →