IT AI Index

Index › Vendors › Amazon Bedrock · September 2026 Edition

Amazon · 1 category · Named, not ranked

Amazon Bedrock

10Judge labels

0First choices

1Negative labels

6 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Amazon Bedrock was named 3 times in LLM gateways, where LiteLLM led with 38%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market17 of 63

under the label threshold

Enterprise21 of 62

under the label threshold

In llm gateways · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Amazon Bedrock for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
LLM gateways and observability	Data platform	0%	17 of 63	0%	3	under 10 labels · led by LiteLLM at 38%

Movement

This is the first edition on this tier, so no move can be computed for Amazon Bedrock yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Amazon Bedrock across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	1	0	1
Llama 4 Maverick	0	1	1
Qwen 3.7 Flash	0	0	0
Kimi K2	1	0	1
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct1 labelNone

Paraphrase1 labelNone

Comparative2 labelsNone

Budget-constrained0 labelsNone

Scale-constrained1 labelNone

Negative5 labelsNone

First choiceAlternativeMentionNegative10 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Prefer major, well-resourced providers if you need guarantees — e.g., AWS Bedrock, Azure AI” DeepSeek V4 Flash · LLM gateways · negative prompt · alternative

“Azure OpenAI Service, AWS Bedrock, GCP Vertex AI (major cloud providers)” Kimi K2 · LLM gateways · negative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Amazon Bedrock, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon Bedrock was named but was not.

ProductSame answerTook the first choice insteadHead to head

LiteLLM5 of 100Not in the top three

Portkey4 of 102Not in the top three

Kubeflow4 of 101Not in the top three

Amazon SageMaker4 of 100Not in the top three

Azure Machine Learning4 of 100Not in the top three

Google Vertex AI4 of 100Not in the top three

Kong AI Gateway3 of 101Not in the top three

MLflow3 of 101Not in the top three

Helicone3 of 100Not in the top three

OpenAI3 of 100Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Amazon Bedrock. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 8 of the 10 answers that named Amazon Bedrock and are not a share of its labels.

Domains cited

dataiku.com3

konghq.com3

truefoundry.com3

arxiv.org2

bcg.com2

braintrust.dev2

cybersecuritynews.com2

dev.to2

en.softonic.com2

gbhackers.com2

Twenty-three of the twenty-three domain citations in answers naming Amazon Bedrock came from somebody else's page.

Pages cited

bcg.com/publications/2026/how-ceos-avoid-ai-vendor-lock-in-risk2

cybersecuritynews.com/litellm-flaws2

dataiku.com/blog/enterprise-machine-learning-platforms-how-to-choose2

en.softonic.com/articles/nvidia-and-palantir-reportedly-curb-public-ai-use-data-leak-fears2

ibm.com/think/x-force/abusing-mlops-platforms-to-compromise-ml-models-enterprise-data-lake2

itea.org/journals/volume-47-2/avoid-vendor-lock-in-ai-procurement2

konghq.com/blog/learning-center/vendor-lock-in2

neuraltrust.ai/blog/ai-gateway-security2

Pages are listed as the models cited them.

Names read as Amazon Bedrock

What the judge wrote, as written, with how often. The vendor table decides that these count as Amazon Bedrock; a claim can dispute any of them.

AWS Bedrock 2

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Amazon Bedrock's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Amazon Bedrock, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at amazon.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.