Amazon Bedrock vs. Amazon Rekognition

Amazon Bedrock

Amazon Rekognition

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Amazon Bedrock	Score 9.0 out of 10	N/A	Amazon Bedrock offers a way to build and scale generative AI applications with foundation models, providing a developer experience to work with a broad range of FMs from AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon.	$0 Price for 1,000 input or $0.0004 for 1000 output tokens
Amazon Rekognition	Score 9.6 out of 10	N/A	Amazon offers Rekognition, an image and video visual analytics tool that is trained on locating and identifying labeled or tag-related objects, events, people, and also inappropriate content in images and video so that images and video can more safely and reliably be integrated and positioned in web applications or presentations after it conducts its analysis.	N/A

Pricing

Amazon Bedrock

Amazon Rekognition

Editions & Modules

Amazon Titan models- Titan Text – Lite: $0.0003
Price for 1,000 input or $0.0004 for 1000 output tokens
Cohere models - Command Light: $0.0003
Price for 1,000 input
Cohere models - Command Light: $0.0006
Price for 1,000 output
Meta model - Llama 2 Chat (13B): $0.00075
Price for 1,000 input
Meta model - Llama 2 Chat (13B): $0.001
Price for 1,000 output
Amazon Titan models- Titan Text – Express: $0.0013
Price for 1,000 input tokens or $0.0017 for 1000 output tokens
Cohere models - Command: $0.0015
Price for 1,000 inputtokens
Anthropic models - Claude Instant: $0.00163
Price for 1,000 input tokens
Cohere models - Command: $0.0020
Price for 1,000 output
Anthropic models - Claude Instant: $0.00551
Price for 1,000 output tokens
Anthropic models - Claude: $0.01102
Price for 1,000 input tokens
AI21 models - Jurassic-2 Mid: $0.0125
Price for 1,000 input or output tokens
AI21 models - Jurassic-2 Ultra: $0.0188
Price for 1,000 input or output tokens
Anthropic models - Claude: $0.03268
Price for 1,000 output tokens
Stability AI Model - SDXL1.0: $49.86
per hour (one month commitment)

No answers on this topic

Offerings

Pricing Offerings
Amazon Bedrock	Amazon Rekognition
Free Trial
No	Yes
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	Yes

Entry-level Setup Fee

No setup fee

Optional

Additional Details

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More Pricing Information

Community Pulse
	Amazon Bedrock	Amazon Rekognition
Top Pros	No answers on this topic	Pro Easy to use Pro User friendly Pro Friendly ui
Top Cons	No answers on this topic	Minus Worth the cost Minus Face recognition Minus Small scale

Best Alternatives
	Amazon Bedrock	Amazon Rekognition
Small Businesses	IBM SPSS Modeler Score 7.8 out of 10	IBM SPSS Modeler Score 7.8 out of 10
Medium-sized Companies	Posit Score 9.2 out of 10	Posit Score 9.2 out of 10
Enterprises	IBM SPSS Modeler Score 7.8 out of 10	IBM SPSS Modeler Score 7.8 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Amazon Bedrock	Amazon Rekognition
Likelihood to Recommend	- (0 ratings)	9.5 (2 ratings)
Usability	- (0 ratings)	9.5 (2 ratings)
Support Rating	- (0 ratings)	9.5 (2 ratings)

User Testimonials
	Amazon Bedrock	Amazon Rekognition
Likelihood to Recommend	Amazon AWS No answers on this topic	Amazon AWS Amazon Rekognition is well suited for all image and videos analysis. Also, deep learning projects for image and video can easily be done using this. It is very easy to use so a beginner can also use it. Incentivized PB Purva Bhatt Senior Software Engineer Read full review
Pros	Amazon AWS No answers on this topic	Amazon AWS Image tagging is very good. Object detection is precise. Video tagging has become very easy using Rekognition. Incentivized SL Sam Lance ML engineer Read full review
Cons	Amazon AWS No answers on this topic	Amazon AWS The cost is bit more for small scale companies. For text processing, OCR is not available in amazon rekognition. Only facial search is available in image search. Incentivized PB Purva Bhatt Senior Software Engineer Read full review
Usability	Amazon AWS No answers on this topic	Amazon AWS Very much suitable for many applications where the image processing features are secondary and independent of any domain. This makes it a general solution and the recognition features are returned in a JSON object in response to the API called made which is a very simple process. Incentivized SL Sam Lance ML engineer Read full review
Support Rating	Amazon AWS No answers on this topic	Amazon AWS Support of Amazon is great. So far we are having a great experience using it. Incentivized PB Purva Bhatt Senior Software Engineer Read full review
Alternatives Considered	Amazon AWS No answers on this topic	Amazon AWS It's easy to implement and its documentation is great compared to CNTK. Incentivized SL Sam Lance ML engineer Read full review
Return on Investment	Amazon AWS No answers on this topic	Amazon AWS The best thing it made our work fast. It reduces the chance of failure of a project which is based on image or video processing. We can assign anyone in our team to work on this as it very easy to use. Incentivized PB Purva Bhatt Senior Software Engineer Read full review
ScreenShots