Cohere: Command R7B (12-2024)

Public pricingIntelligence 79/100Medium memory도구 활용

Cohere: Command R7B (12-2024)은 추론, 계획, 자동화에 맞춘 텍스트 모델입니다. 안정적인 도구 사용과 에이전트 동작、깊은 추론과 계획, 128K tokens의 컨텍스트, 저비용 특성을 결합해 reasoning, planning, and multi-step automation에서 안정적인 작업을 돕습니다. 특히 지연, 비용, 처리량가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$0.04/1M

Output

$0.15/1M

Cached

$0.01/1M

Batch

$0.02/1M

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Technical specifications

Command R7B (12-2024) at a glance.

Memory

128,000

tokens

Max reply

4,000

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

cohere

Released

Dec 2024

Training cutoff

Mar 2024

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Command R7B (12-2024)

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

FAQ

Command R7B (12-2024) — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Command R7B (12-2024) costs roughly $9 per month. Input is $0.04 /1M tokens and output is $0.15 /1M tokens.
Command R7B (12-2024) has a 128,000-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,000 words of input and history in a single call.
Beyond text generation, Command R7B (12-2024) supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Command R7B (12-2024) was released in December 2024, with training data cut off around March 2024.
Models in a similar class include Command R (08-2024), Command A, Command R+ (08-2024). The "Similar models" section below this FAQ links into each.

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