Command R7B
Pricing & Specs

Cohere · $0.0375 input / $0.15 output per 1M tokens · 132K context window

$0.0375
per 1M input tokens
$0.15
per 1M output tokens
132K
context window (tokens)

The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on Command R7B costs about $0.0001 — roughly $0.11 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 R7B API Pricing

TokensPrice
Input$0.0375 / 1M tokens
Output$0.15 / 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): $0.0001
1K 1,000 runs of that task: $0.11
💡 Real cost depends on how verbose the model is on YOUR prompts — benchmark to measure actual tokens, not estimates.

Command R7B Specs

SpecValue
Context window132K tokens
Input modalitiestext
Output modalitiestext
Latency (measured by OpenMark)~226ms median response
Reasoning modelNo
Tool / function callingYes
JSON modeYes
StreamingYes
Prompt cachingNo

Capabilities

tool use agents RAG 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 R7B cost?

Command R7B costs $0.0375 per 1M input tokens and $0.15 per 1M output tokens.

What is Command R7B's context window?

Command R7B has a 132K-token context window.

Can I test Command R7B on my own task?

Yes. OpenMark lets you benchmark Command R7B against 100+ models on your own task with real API calls — no API keys needed, free tier available.

Is Command R7B 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 R7B — Free →