Sold by: Cohere
Deployed on AWS
AWS Free Tier
Large Language Models, LLMs, Foundation Models, Transformers, Text Generation, Copy Writing, Text Summarization, Entitry Extraction, Content Generation AI, AI Text Writer, NLP, Natural Language Processing
Overview
No matter your level of expertise as a developer, Cohere's model empowers you to effortlessly incorporate it into your application, enabling you to accomplish text generation tasks with unparalleled speed and exceptional performance. With just a few clicks, you can deploy Cohere's Generate model using Bedrock, all while keeping your data within the AWS platform. Utilize Cohere's Generate model to invigorate your copywriting, named entity recognition, paraphrasing, or summarization efforts and take them to the next level.
Highlights
- Cohere's Command is a generative model that responds well with instruction-like prompts. This model provides customers with an unbeatable balance of quality, cost-effectiveness, and low-latency inference. Specifically designed for tasks that require rapid and accurate responses, such as question answering, copywriting, or paraphrasing, Cohere's Command model sets the standard for high performance.
- Our optimized containers enable low latency inference on a diverse set of hardware accelerators available on AWS providing different cost and performance points for Bedrock customers.
- Text Generation, Generative AI, Content Generation, AI Text Writer, Copy Writing, Summarization, Summary Generator, Entity Extraction
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Provisioned Throughput Hourly Price (6 Months Commit) | $23.77 |
Provisioned Throughput Hourly Price (1 Month Commit) | $39.60 |
Customized model storage per month | $1.95 |
Provisioned Throughput Hourly Price (No Commit) | $49.50 |
Customized model storage per month | $1.95 |
Provisioned Throughput Hourly Price (1 Month Commit) | $39.60 |
Price per 1 million output tokens | $2.00 |
Price per 1 million input tokens | $1.00 |
Price per 1 million output tokens | $2.00 |
Price per 1 million input tokens | $1.00 |
Dimensions summary
You can pay for the Command model in three ways. Token-based pricing charges you separately for input tokens and output tokens, measured per million tokens. Provisioned throughput reserves dedicated capacity billed hourly, with three commitment options: no commit, 1-month commit, or 6-month commit. Longer commitments set your hourly rate structure. If you fine-tune the model, you pay per million model customization tokens to train it, plus a monthly storage fee to keep your customized model available. These options run independently, so you combine them based on your usage and capacity needs.
Top-of-mind questions for buyers
A token is a unit of text the model reads or generates, not a character or word. Simple text runs close to one token per word. Complex text with uncommon words may need three to four tokens per word. You pay separately for input and output tokens.
Provisioned throughput bills by the hour once you reserve dedicated capacity. Charges accrue for the reserved time regardless of how many requests you send. Idle reserved capacity still bills at the hourly rate. Token-based pricing, by contrast, charges only for tokens you actually process.
Two charges apply to a customized model. You pay per million model customization tokens to train it, billed once during training. You then pay a monthly storage fee to keep the customized model available. Storage recurs each month until you remove the model. Inference charges apply separately.
cohere.com+2
Helpful?
Vendor refund policy
No refunds. Please contact support+aws@cohere.com for further assistance.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Contact us at support+aws@cohere.com !
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
A fine-tunable version of Command R. Command R is a generative model optimized for long-context tasks and large scale production workloads.
Command R is a generative language model optimized for long-context tasks and large scale production workloads.
Command R+ 08-2024 is a highly performant generative language model optimized for large scale production workloads.
Command R 08-2024 is a generative language model optimized for large scale production workloads.
Command R is a generative language model optimized for long-context tasks and large scale production workloads.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.