Command R (08-2024)
General purposeToolsCohere · Released August 2024 · Knowledge cutoff March 2024
command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...
It belongs to Cohere's Command family, focused on enterprise retrieval, tool use and multilingual text.
Facts and pricing
- Provider
- Cohere
- Context window
- 128K tokens
- Input price
- 1.7 credits / 1M tokens ($0.15 raw)
- Output price
- 6.6 credits / 1M tokens ($0.60 raw)
- Vision (image input)
- No
- Tool calling
- Yes
- Extended reasoning
- No
Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.10x margin. Raw prices shown per 1M tokens.
Try Command R (08-2024) now
What Command R (08-2024) is best for
- Balanced everyday work: writing, questions, brainstorming and summarization
- Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows
Example prompts
Prompts that suit a general purpose model like Command R (08-2024):
- Help me outline a talk about what I learned this year
- Compare these two paragraphs and tell me which is clearer and why
- Draft a polite reply declining this invitation
- Explain this concept with a concrete everyday analogy
Cohere family
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| North Mini Code (free) | 256K | 0 | 0 | June 2026 |
| Command A | 256K | 27.5 | 110 | March 2025 |
| Command R7B (12-2024) | 128K | 0.41 | 1.7 | December 2024 |
| Command R (08-2024) | 128K | 1.7 | 6.6 | August 2024 |
| Command R+ (08-2024) | 128K | 27.5 | 110 | August 2024 |
Frequently asked questions
- What is Command R (08-2024)?
- Command R (08-2024) is an AI model by Cohere. command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...
- How much does Command R (08-2024) cost on Zeplik?
- Input tokens cost 1.7 credits per million and output tokens 6.6 credits per million (1 credit = $0.10; the raw provider rates are $0.15 and $0.60 per million). New accounts start with free credits.
- How long can a conversation with Command R (08-2024) be?
- Command R (08-2024) has a 128K-token context window (128,000 tokens), which covers the conversation plus any documents you attach.
- Does Command R (08-2024) support images and tools?
- Command R (08-2024) is text-only and supports tool calling.
Related models
North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...
Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary...
Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning...
command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint...
GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...