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Command R7B

FreemiumText to TextOpen SourceAPISelf-Hosted

Cohere's 7B-parameter model that trades raw capability for speed and cost in enterprise workflows.

Pay-as-you-go · Free tier: Trial API key with rate limiting, not permitted for production or commercial purposes · Checked Apr 10, 2026

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Summary

Command R7B is a smaller language model optimized for tasks that don't require reasoning at the frontier—summarization, classification, instruction-following, and document analysis. Cohere positions it as the pragmatic choice for teams tired of paying for (or waiting on) 70B+ parameter models when a tighter, faster alternative works. It's free and open source, which means no API charges and full control over deployment. The real limitation: it will struggle on abstract reasoning, mathematical proof, or multi-step logic puzzles where 70B models shine. For enterprises choosing between this and proprietary APIs, the tradeoff is real but worth calculating.

Bottom line: *Use this when latency and cost matter more than frontier reasoning; skip it if your workload demands deep logical complexity.*

Pricing Plans

FreemiumLast verified 7 months ago
Price
Pay-as-you-go
Free Tier
Trial API key with rate limiting, not permitted for production or commercial purposes

Trial API Key

Free
  • Free API calls
  • Rate limited
  • Not for production or commercial use
  • Automatically created upon account signup

Production API Key

Custom
  • Pay-as-you-go billing
  • Billed at end of month or at $250 outstanding balance
  • Token-based pricing varies by model
  • Designed for production use at scale

Command (Legacy)

Custom
  • $1.00/1M tokens input
  • $2.00/1M tokens output

Command R 03-2024

Custom
  • $0.50/1M tokens input
  • $1.50/1M tokens output

Command R+ 04-2024

Custom
  • $3.00/1M tokens input
  • $15.00/1M tokens output

Command R+ 08-2024

Custom
  • $2.50/1M tokens input
  • $10.00/1M tokens output

Aya Expanse

Custom
  • $0.50/1M tokens input
  • $1.50/1M tokens output
  • Supports 70+ languages

Model Vault - Embed 4 Small

$2,500per month
  • $4.00 hourly rate per instance
  • $2,500 monthly rate per instance
  • Multimodal search and retrieval

Model Vault - Embed 4 Medium

$3,250per month
  • $5.00 hourly rate per instance
  • $3,250 monthly rate per instance
  • Multimodal search and retrieval

Model Vault - Rerank 3.5 Medium

$3,250per month
  • $5.00 hourly rate per instance
  • $3,250 monthly rate per instance
  • Semantic search boost

Model Vault - Rerank 4 Fast Medium

$3,250per month
  • $5.00 hourly rate per instance
  • $3,250 monthly rate per instance
  • Semantic search boost

Model Vault - Rerank 4 Pro Medium

$3,250per month
  • $5.00 hourly rate per instance
  • $3,250 monthly rate per instance
  • Semantic search boost

Enterprise

Custom
  • Custom enterprise pricing
  • Private deployments
  • Bespoke model customization
  • Dedicated support

View full pricing on cohere.com →

Pricing may have changed since last verified. Check the official site for current plans.

LLM Spec Sheet

Specializations

CodeReasoningChatRAGAgentsLong ContextMultilingual
Knowledge BaseTrained through September 2024

Benchmarks

128k tokensContext Window

Pricing & Limits

Input price
$0.04 / 1M tokens
Output price
$0.15 / 1M tokens
Max output tokens
4,096

Metrics from vendor, updated .

Find your fit

Before you choose Command R7B

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Changelog

  • — Input price first recorded at $0.04/1M · vendor
  • — Output price first recorded at $0.15/1M · vendor
  • — Context first recorded at 128k tokens · vendor
  • — Max output first recorded at 4.1k tokens · vendor

Pros

  • Excellent balance of performance and inference cost
  • Fast response times due to smaller model size
  • Strong instruction-following and reasoning for its parameter count
  • Supports extended context for long-document processing

Cons

  • May underperform on highly complex reasoning tasks compared to larger models
  • Limited multimodal capabilities compared to enterprise alternatives

About

Platforms
Web, API
Languages
English and multilingual
API Available
Yes
Self-Hosted
Yes
Last Updated
April 9, 2026

Best For

Who it's for

  • Cost-sensitive enterprise deployments
  • Low-latency inference requirements
  • Instruction-following and task automation
  • Organizations requiring efficient scaling

What it does well

  • Enterprise chatbots and conversational AI
  • Document processing and summarization
  • Customer support automation
  • RAG-based question answering
  • Code generation and technical assistance

Integrations

LangChainLlamaIndexHugging FaceZapier

Frequently Asked Questions

Is Command R7B free?
Command R7B offers a free option alongside paid upgrades. Pricing: Pay-as-you-go. Check the current allowances and terms before choosing a plan.
Is Command R7B open source?
Yes. Command R7B is open source — the source repository is at https://github.com/cohere-ai/cohere-python.
Does Command R7B have an API?
Yes. Command R7B exposes a developer API. See the official documentation at https://cohere.com for details.
Can I self-host Command R7B?
Yes. Command R7B supports self-hosting on your own infrastructure.
When was Command R7B released?
Command R7B was first released in 2024.
What platforms does Command R7B support?
Command R7B is available on: Web, API.
paid

Cohere's 7B-parameter model that trades raw capability for speed and cost in enterprise workflows.

Command R7B is a smaller language model optimized for tasks that don't require reasoning at the frontier—summarization, classification, instruction-following, and document analysis. Cohere positions it as the pragmatic choice for teams tired of paying for (or waiting on) 70B+ parameter models when a tighter, faster alternative works. It's free and open source, which means no API charges and full control over deployment. The real limitation: it will struggle on abstract reasoning, mathematical proof, or multi-step logic puzzles where 70B models shine. For enterprises choosing between this and proprietary APIs, the tradeoff is real but worth calculating.

*Use this when latency and cost matter more than frontier reasoning; skip it if your workload demands deep logical complexity.*

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