# Command R+ (08-2024)

> Cohere's refreshed 104B enterprise RAG and tool-use flagship — ~50% higher throughput, 25% lower latency, and lower pricing.

- Maker: Cohere
- Line: Command R+
- Canonical page: https://ai-tldr.dev/models/command-r-plus-08-2024/
- Updated: 2026-06-17

## In short

Command R+ (08-2024) is the August 2024 refresh of Cohere's flagship Command R+ model, a 104-billion-parameter dense transformer built for enterprise retrieval-augmented generation (RAG) and multi-step tool use. In the Cohere API it is addressed as command-r-plus-08-2024. It has a 128K-token context window and costs $2.50 per million input tokens and $10.00 per million output tokens. You can use it through Cohere and Hugging Face (open weights, research).

## Facts

| Fact | Value | Source |
| --- | --- | --- |
| Context window | 128K (max output 4K tokens) | [1] |
| Input price | $2.50 / 1M tokens | [2] |
| Output price | $10.00 / 1M tokens | [2] |
| Licence | Proprietary (API); open weights under CC-BY-NC on Hugging Face · open weights | [1] |
| Released | 30 August 2024 | [3] |
| Parameters | 104B (dense) | [1] |
| Knowledge cutoff | February 2023 | [1] |

## Sources

1. [c4ai-command-r-plus-08-2024 model card (Hugging Face)](https://huggingface.co/CohereLabs/c4ai-command-r-plus-08-2024)
2. [Cohere pricing](https://cohere.com/pricing)
3. [Command models get an August refresh (announcement)](https://docs.cohere.com/changelog/command-gets-refreshed)

## Overview

Command R+ (08-2024) is the August 2024 refresh of Cohere's flagship Command R+ model, a 104-billion-parameter dense transformer built for enterprise retrieval-augmented generation (RAG) and multi-step tool use. In the Cohere API it is addressed as command-r-plus-08-2024. It keeps the same 104B size and 128K-token context window as the original April 2024 release, but moves to Grouped Query Attention (GQA) and an updated training recipe.

Compared to the original Command R+, Cohere reports the 08-2024 version delivers roughly 50% higher throughput and 25% lower latency while keeping the same hardware footprint. The refresh also improves decision-making about when to use a tool, instruction-following from the system message, multilingual RAG in the user's own language, structured-data handling, and robustness to non-semantic prompt changes (whitespace, newlines). The models can now decline unanswerable questions and run RAG workflows without citations. A beta Safety Modes feature (STRICT / CONTEXTUAL) was introduced alongside this release.

The model is optimized for 10 languages (English, French, Spanish, Italian, German, Brazilian Portuguese, Japanese, Korean, Simplified Chinese, and Arabic) with pre-training data spanning 23 languages in total. It is served through Cohere's platform and cloud partners, and the weights are also published for research on Hugging Face under a CC-BY-NC license plus Cohere's Acceptable Use Policy.

## Pricing

- Input: $2.50 / 1M tokens
- Output: $10.00 / 1M tokens

Source: https://cohere.com/pricing

## Strengths

- ~50% higher throughput and ~25% lower latency than the original Command R+ at the same hardware footprint
- Strong multi-step tool use and agentic workflows with improved tool-selection decisions
- Retrieval-augmented generation with inline citations (and optional citation-free RAG)
- Long 128K-token context window for long-document and multi-turn enterprise tasks
- Multilingual: optimized for 10 languages, pre-trained on 23
- Lower pricing than the 04-2024 release ($2.50 / $10.00 per million tokens)

## Best for

- Enterprise retrieval-augmented generation over private knowledge bases
- Multi-step agents that call tools and APIs to complete tasks
- Multilingual customer support and document Q&A
- Structured-data extraction and analysis
- Long-context summarization and analysis of large documents

## How to access

- [Cohere](https://docs.cohere.com/docs/command-r-plus) — model id `command-r-plus-08-2024`
- [Hugging Face (open weights, research)](https://huggingface.co/CohereLabs/c4ai-command-r-plus-08-2024) — model id `CohereLabs/c4ai-command-r-plus-08-2024`

## Command R+ versions

- Command R+ (08-2024) (30 August 2024) — this page
- [Command R+ (04-2024)](https://ai-tldr.dev/models/command-r-plus-04-2024/) (4 April 2024)

## FAQ

### How is Command R+ (08-2024) different from the original Command R+?

It is the August 2024 refresh of the same 104B model with the same 128K context window. Cohere reports roughly 50% higher throughput and 25% lower latency at the same hardware footprint, plus better tool-use decisions, stronger instruction-following from the system message, improved multilingual RAG, better structured-data handling, and the ability to decline unanswerable questions. It also moved to Grouped Query Attention (GQA) and dropped in price to $2.50 / $10.00 per million tokens.

### What does Command R+ (08-2024) cost?

On Cohere's platform it is priced at $2.50 per million input tokens and $10.00 per million output tokens, down from the $3.00 / $15.00 of the original 04-2024 release, per Cohere's pricing page.

### Is Command R+ (08-2024) open weights?

The production model is served through Cohere's API, but the weights are also published for research on Hugging Face (CohereLabs/c4ai-command-r-plus-08-2024) under a CC-BY-NC license together with Cohere's Acceptable Use Policy. CC-BY-NC is non-commercial, so it is not a permissive open-source license like Apache-2.0.

### What is the context window and max output of Command R+ (08-2024)?

It supports a 128K-token context window and up to 4K output tokens per response, the same limits as the original Command R+, per Cohere's models documentation.

## Links

- [Command R+ docs (official)](https://docs.cohere.com/docs/command-r-plus)
- [Command models get an August refresh (announcement)](https://docs.cohere.com/changelog/command-gets-refreshed)
- [c4ai-command-r-plus-08-2024 model card (Hugging Face)](https://huggingface.co/CohereLabs/c4ai-command-r-plus-08-2024)
- [Cohere models overview (context & output limits)](https://docs.cohere.com/docs/models)
- [Cohere pricing](https://cohere.com/pricing)

Source: AI/TLDR LLM registry, https://ai-tldr.dev/models/command-r-plus-08-2024/