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, with 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 →

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