Model Cost Profile

Cohere: Command R7B (12-2024)

Developer: cohere

Pricing updated Mar 11, 2026

Input rank: #43Output rank: #55

Live Pricing

Input: $0.0375

Output: $0.1500

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Cohere's Command R7B model, released in December 2024, supports a substantial context window of 128,000 tokens, making it ideal for applications requiring extensive document analysis or multi-turn conversations. With an input price of $0.04 per million tokens and an output price of $0.15 per million tokens, teams can effectively manage costs while leveraging the model for tasks such as content generation, summarization, and customer support automation. This pricing structure allows organizations to scale their usage according to project demands, optimizing budget allocation for AI-driven initiatives.

๐Ÿ“‹ Structured Output

Context Window

128,000

Tokens

Input Price / 1M

$0.0375

Prompt tokens

Output Price / 1M

$0.1500

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Cohere: Command R7B (12-2024) Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.0375$0.0938$0.1500Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.0375

Current Output / 1M

$0.1500

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Cohere: Command R7B (12-2024).

How much does Cohere: Command R7B (12-2024) cost per 1M input tokens?

Cohere: Command R7B (12-2024) input pricing is $0.0375 per 1M tokens based on the latest synced provider data.

How much does Cohere: Command R7B (12-2024) cost per 1M output tokens?

Cohere: Command R7B (12-2024) output pricing is $0.1500 per 1M tokens based on the latest synced provider data.

What context window does Cohere: Command R7B (12-2024) support?

Cohere: Command R7B (12-2024) supports a context window of 128,000 tokens.

How can I compare Cohere: Command R7B (12-2024) with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.