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Index › Products › Amazon Bedrock · October 2026 Edition
Amazon · 3 categories · Named, not ranked

Amazon Bedrock

19Judge labels
0First choices
7Negative labels
8 / 14Models named it
3Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Standing
6 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Amazon Bedrock was named 6 times in ML platforms and 2 other categories, where Azure Machine Learning led with 21%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In ml platforms · 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.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
ML platformsData platform0%86 of 10750%4under 10 labels · led by Azure Machine Learning at 21%newNew since September 2026: not ranked then, 0% now.
AI security platformsSecurity operations0%84 of 2330%1under 10 labels · led by SentinelOne Singularity at 11%
LLM gateways and observabilityData platform0%22 of 690%1under 10 labels · led by LiteLLM at 31%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, Amazon Bedrock held within the floor in all three categories: no change cleared 11 points.

Best category · ML platforms · by segment

Small businessgoneNot named this edition; 0% in September 2026.
0%from 0% in September 2026
Inside the floor by 11 pointsNot ranked
Mid-marketnewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 92 of 97, unchanged
EnterprisegoneNot named this edition; 0% in September 2026.
0%from 0% in September 2026
Inside the floor by 11 pointsNot ranked

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
ML platforms0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 86 of 107, unchanged
AI security0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 84 of 233, unchanged
LLM gateways0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 15 → 22 of 69

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated Amazon Bedrock across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00112
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00011
Llama 4 Maverick00000
Qwen 3.7 Flash02002
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00101

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
Direct2 labelsNone
Paraphrase2 labelsNone
Comparative2 labelsNone
Budget-constrained2 labelsNone
Scale-constrained2 labelsNone
Negative9 labelsNone
First choiceAlternativeMentionNegative19 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.

“Enterprise versions of platforms like Microsoft Azure OpenAI, Google Vertex AI (Enterprise), or Amazon Bedrock (Enterprise) which offer contractual "No Training on Your Data" guarantees.” Qwen 3.7 Flash · AI security · negative prompt · alternative
“The Best Cloud-Native Option: AWS Bedrock / Azure AI” Qwen 3.7 Flash · LLM gateways · direct 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.

“cloud wrappers like Amazon Bedrock or Azure AI Foundry... Aggressive Deprecation Cycles” Gemini 3.5 Flash · ML platforms · negative prompt · soft negative
“Model restriction: Azure OpenAI restricts you exclusively to OpenAI's model line” DeepSeek V4 Flash · ML platforms · negative prompt · soft negative

Named alongside

The products named in the same answers as Amazon Bedrock, over the 19 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.
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ProductSame answerTook the first choice insteadHead to head
Google Vertex AI8 of 190Not among the top eight
Portkey7 of 192Not among the top eight
LiteLLM7 of 191Not among the top eight
OpenRouter4 of 191Not among the top eight
Apigee4 of 190Not among the top eight
Azure API Management4 of 190Not among the top eight
ChatGPT4 of 190Not among the top eight
Databricks Mosaic AI4 of 190Not among the top eight
Kong AI Gateway4 of 190Not among the top eight
Bifrost3 of 192Not among the top eight
A head-to-head page exists where both products are among a category's top eight. 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, five of the fourteen in this edition, so these counts come from 17 of the 19 answers that named Amazon Bedrock and are not a share of its labels.

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 3Amazon Bedrock (Enterprise) 1Amazon Bedrock / Microsoft Azure OpenAI Service 1

Follow Amazon Bedrock

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Amazon is the company behind Amazon Bedrock.
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In its own words

Stated by the vendor, not checked
Customers named
Bird BuddyTrellisHisense MexicoEPACuisinartGlobal OverviewOMRONRemazing
Not stated on the pages read
Positioning, who it is for, price, starting price, free plan or trial, integrations, certifications, hosting

What Amazon Bedrock's own pages state, read October 6, 2026: sell.amazon.com/ai-information, advertising.amazon.com/generative-ai-ad-solutions, advertising.amazon.com/tr-tr/generative-ai-ad-solutions, advertising.amazon.com/fr-fr/generative-ai-ad-solutions, advertising.amazon.com/nl-nl/generative-ai-ad-solutions. A claimed page can correct any of them.

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.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Amazon Bedrock by email, built from the raw record of the edition. It shows:

  • where Amazon Bedrock is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Amazon Bedrock, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at amazon.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.