# Amazon Nova Multimodal Embeddings > Amazon Nova Multimodal Embeddings is an AWS model on Amazon Bedrock that turns text, images, document images, video and audio into vectors in one space, at 256, 384, 1024 or 3072 dimensions, through synchronous and asynchronous calls. - Canonical: https://www.anchorterminal.com/tools/amazon-nova-embeddings - Markdown: https://www.anchorterminal.com/tools/amazon-nova-embeddings.md (~8,050 tokens) - Slim: https://www.anchorterminal.com/tools/amazon-nova-embeddings.min.md (~1,480 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/tools/amazon-nova-embeddings.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-09 ## Overview **Grade BB · 75/100 · rank #59 of 842 · #1 in Embeddings & rerankers · agent-ready · confidence medium** More from Amazon Web Services, listed separately because each is its own product: [Amazon Bedrock Guardrails](https://www.anchorterminal.com/tools/amazon-bedrock-guardrails.md) (Guardrails & safety filters), [Amazon Transcribe](https://www.anchorterminal.com/tools/amazon-transcribe.md) (Speech-to-text), [Amazon Polly](https://www.anchorterminal.com/tools/amazon-polly.md) (Text-to-speech), [Amazon Bedrock AgentCore Memory](https://www.anchorterminal.com/tools/agentcore-memory.md) (Agent memory), [Amazon Bedrock AgentCore Identity](https://www.anchorterminal.com/tools/agentcore-identity.md) (Agent auth & delegated access), [AWS Secrets Manager](https://www.anchorterminal.com/tools/aws-secrets-manager.md) (Secrets & credential vaults), [AWS MCP Servers](https://www.anchorterminal.com/tools/aws-mcp-servers.md) (Cloud & infrastructure), [Amazon SES](https://www.anchorterminal.com/tools/amazon-ses.md) (Email delivery APIs), [Amazon Location Service](https://www.anchorterminal.com/tools/amazon-location.md) (Maps, geocoding & places), [Amazon Translate](https://www.anchorterminal.com/tools/amazon-translate.md) (Translation), [Amazon Ads API](https://www.anchorterminal.com/tools/amazon-ads-api.md) (Advertising & campaign operations). ## Assessment One model embeds text, images, document images, video and audio into a shared space, with nine documented purpose settings and published per-unit prices. It runs in US East (N. Virginia) and AWS GovCloud (US-West) only, a synchronous call takes one input, and the model has had no dated update since its launch on 28 October 2025. ## Facts | Field | Value | | --- | --- | | Vendor | Amazon Web Services (https://aws.amazon.com/nova/) | | Kind | HTTP API | | Category | Embeddings & rerankers (https://www.anchorterminal.com/categories/embeddings) | | Transport | HTTP | | Endpoint | `https://bedrock-runtime.us-east-1.amazonaws.com` | | Auth | API key · AWS Signature Version 4 with IAM credentials or a role, or an Amazon Bedrock API key sent as a bearer token (`AWS_BEARER_TOKEN_BEDROCK`). Short-term keys last up to 12 hours and inherit the caller's IAM permissions. Long-term keys create an IAM user and AWS recommends them for exploration only. Access is self-serve once a person has an AWS account, and asynchronous calls also need write access to an S3 bucket (https://docs.aws.amazon.com/bedrock/latest/userguide/api-keys.html). | | Pricing | Pay per use (Pay per use) · On demand in US East (N. Virginia), text input is $0.135 per million tokens, a standard image $0.00006, a document image $0.0006, video $0.0007 a second and audio $0.00014 a second. Batch is $0.0675 per million text tokens, with lower media rates. GovCloud prices are 20 per cent higher. There is no model-specific free tier. New AWS accounts can receive up to $200 in Free Tier credits, which lets an agent's owner start without a contract (https://aws.amazon.com/bedrock/pricing/). | | x402 | No · No x402, MPP or L402 in the Nova guide, the Bedrock model card or the pricing page (checked 2026-10-08). | | Licence | Proprietary service under the AWS Service Terms. The AWS SDKs are Apache-2.0 | | Packages | pypi: `boto3`; npm: `@aws-sdk/client-bedrock-runtime` | | Docs | https://docs.aws.amazon.com/nova/latest/userguide/nova-embeddings.html | | llms.txt | https://docs.aws.amazon.com/nova/latest/userguide/llms.txt | | Last release | 2025-10-28 | | npm downloads / week | 18,066,100 | | PyPI downloads / week | 573,748,207 | | Model ID | `amazon.nova-2-multimodal-embeddings-v1:0` | | Endpoint | `https://bedrock-runtime.{region}.amazonaws.com`. Not served on the `bedrock-mantle` endpoint | | Regions | us-east-1 (N. Virginia) and us-gov-west-1 (GovCloud), in-Region only | | Dimensions | 256, 384, 1024 or 3072. Default 3072 | | Modalities | Text, image (standard or document detail), audio and video | | Synchronous limits | One input per request. 8,192 characters of inline text, 30 seconds of audio, 30 seconds of video. AWS states a context of 8K tokens | | Asynchronous segmentation | Text segments of 800 to 50,000 characters (default 32,000). Audio and video segments of 1 to 30 seconds (default 5) | | Formats | Images png, jpeg, gif, webp. Audio mp3, wav, ogg. Video mp4, mov, mkv, webm, flv, mpeg, mpg, wmv, 3gp | | Embedding purposes | `GENERIC_INDEX`, `GENERIC_RETRIEVAL`, `TEXT_RETRIEVAL`, `IMAGE_RETRIEVAL`, `VIDEO_RETRIEVAL`, `DOCUMENT_RETRIEVAL`, `AUDIO_RETRIEVAL`, `CLASSIFICATION`, `CLUSTERING` | | Quotas | 2,000 requests a minute on demand, 30 concurrent asynchronous requests, batch jobs of 100 to 100,000 records | | Data retention | Bedrock states zero data retention by default. This model is not among those listed for abuse-detection storage. Image inputs flagged as apparent CSAM may be stored and reviewed | | Lifecycle | Active. End of life no sooner than 28 October 2026, with a Legacy period of at least 6 months before any end of life | | Reranker | None in this model | | Capabilities | embed.text, embed.multimodal | | Tags | official, hosted, usage-priced, closed-source, python, typescript, llms-txt, batch, async-jobs, enterprise | | JSON | https://www.anchorterminal.com/api/v1/tools/amazon-nova-embeddings.json | ## Score breakdown (methodology v0.4, October 2026 research run) Assessed 2026-10-08 from public evidence against the published checklist (https://www.anchorterminal.com/benchmark/#checklist). Confidence: medium. Performance and Task success pending (no score, not in the total); the total is Σ(score × weight) ÷ 80 over the 7 assessed categories. "This run" is each category's share of the 100 points. | Category | Weight | This run | Score (0–100) | Points | | --- | --- | --- | --- | --- | | Reliability | 16% | 20 | 95 | 19.0 | | Performance | 10% | pending | pending | n/a | | Schema & documentation | 13% | 16.2 | 76 | 12.3 | | Agent ergonomics | 13% | 16.2 | 78 | 12.7 | | Security & auth | 14% | 17.5 | 91 | 15.9 | | Payments & pricing | 10% | 12.5 | 30 | 3.8 | | Task success | 10% | pending | pending | n/a | | Maintenance & community | 7% | 8.8 | 50 | 4.4 | | Transparency & trust (editorial 69, provenance 88) | 7% | 8.8 | 79 | 6.9 | | Negative events | up to −15 | up to −15 | none recorded | 0 | | **Total** | | | | **75 → BB** | ### Why each score - Reliability 95: Hosted reading. AWS Health Dashboard with per-service, per-Region history and RSS feeds (20). The Bedrock us-east-1 feed was empty on 8 October 2026 and the dashboard history lists no Bedrock event in us-east-1 since a model access event on 13 June 2026, outside the 90-day window. The public dashboard records broad events only, and the model runs in one commercial Region with no cross-Region profile, so 25 of 30 is our call. Quotas are published, 2,000 requests a minute and 30 concurrent asynchronous requests (15). The troubleshooting page maps `ThrottlingException` to 429 and advises exponential backoff with jitter, and `StartAsyncInvoke` takes a `clientRequestToken` (15). The Bedrock SLA, last updated 4 October 2023, commits to 99.9 per cent a month per Region for the Bedrock APIs for models (10). Announced as generally available on 28 October 2025 (10). - Performance: Pending. Latency is measured per call by our probes, which haven't run yet, so this run doesn't score it. Its weight is shared across the assessed categories until the first probe window closes. - Schema & documentation 76: Model reading. `InvokeModel` and `StartAsyncInvoke` are in the published AWS service models, but the request body is an opaque document there, and the embedding schema exists only as prose in the Nova guide (15 of 25). The Nova guide has an llms.txt and Markdown copies of both embedding pages (10). The schema page says which `embeddingPurpose` to use for indexing and for each retrieval type, with a worked example (17 of 20). Every field is listed with type, allowed values, default and required status (13 of 15). Python examples for synchronous and asynchronous calls and the S3 output layout are given. Errors are the general Bedrock list, and the Bedrock model card contradicts the guide by marking Invoke as unsupported and showing a sample with an empty `modelInput` (9 of 15). A `schemaVersion` field, a versioned model ID and a dated document history, though the same content sits in two guides (12 of 15). - Agent ergonomics 78: Model reading. Four output sizes from 256 to 3072, default 3072. No binary or integer output type was found in the schema (18 of 25). A synchronous request embeds one input, so indexing many small items needs many calls, a batch job or the asynchronous API, which segments long text, audio and video (12 of 20). Typed exceptions with HTTP codes and a troubleshooting page, plus `truncatedCharLength` in the response when text was cut. No embedding-specific error guidance (16 of 20). Synchronous calls are stateless and asynchronous jobs take an idempotency token (20). `embeddingPurpose` and `truncationMode` are required, asynchronous calls need an S3 bucket, and requests need SigV4 or a Bedrock API key. AWS SDKs cover Python, JavaScript and other languages (12 of 15). - Security & auth 91: Model reading. IAM with SigV4, roles and temporary credentials, or Bedrock API keys, where short-term keys expire within 12 hours and inherit the caller's permissions. Keys travel in the Authorization header (30). Bedrock states zero data retention and zero operator access by default, this model is not on the list of models whose traffic is stored for abuse detection, and Bedrock is not among the services whose content AWS uses for improvement under section 50.3 of the Service Terms. Image inputs flagged as apparent CSAM may be stored and reviewed (18 of 20). The model returns vectors only (10 of 15). CloudTrail logs `InvokeModel` as a management event and `StartAsyncInvoke` as a data event, and API keys are not logged (15). A vulnerability disclosure programme on HackerOne and Amazon Bedrock in SOC scope on the list updated 11 August 2026. The security.txt on aws.amazon.com expired on 24 September 2026 and no paid bounty was found (18 of 20). - Payments & pricing 30: No x402, MPP or L402 (0). Per-token, per-image and per-second prices are public without a login. The table is drawn by script, so the figures come from the price feed the page loads (20). No model-specific free tier. The Free Tier FAQ says new accounts receive up to $200 in credits and that most new customers need no payment method, though AWS may ask for one, so half, as on the other AWS listings (10). A person signs up for an AWS account in a browser (0). - Task success: Pending. Task success needs the category task suites run through each tool, which haven't run yet, so this run doesn't score it. Its weight is shared across the assessed categories until then. A data provider's data-quality score is published on its listing now and becomes half of this category when it's scored. - Maintenance & community 50: Model reading. No dated change to the model was found after its launch on 28 October 2025, 345 days before this check. The GovCloud Region and the batch rows are undated (0). The Bedrock document history has three platform entries in the last 90 days (21 and 29 September and 6 October 2026), none about this model, and the lifecycle policy gives at least 12 months of availability and 6 months of Legacy notice (15 of 20). Public document histories, re:Post and AWS Support, with no model release notes (10 of 15). Current official SDKs, `boto3` 1.43.109 on 7 October 2026 and `@aws-sdk/client-bedrock-runtime` 3.1148.0 (15). The SDKs ship on AWS's release train and `boto3` supports Python 3.10 and later (10). - Transparency & trust 79: Closed model under the AWS Service Terms, with Apache-2.0 SDKs (15). The abuse-detection page, the data-protection page and section 50.12 of the Service Terms agree that Bedrock stores no inputs or outputs by default and that model providers cannot see them. The data-retention page describes its modes for the Messages, Chat Completions and Responses APIs and doesn't name `InvokeModel`, and the DPA and sub-processor list were not read in this run (22 of 30). The lifecycle policy for models launched before 7 September 2026 promises 12 months on Bedrock and a Legacy period of at least 6 months, and the model card dates the earliest end of life at 28 October 2026 (20). The card lists the two Regions and in-Region processing only. Sub-processors were not checked (12 of 20). Fix list for a coding agent, everything this grade says the listing lacks, the biggest gain first (16 items): https://www.anchorterminal.com/fixes/amazon-nova-embeddings.md (JSON https://www.anchorterminal.com/fixes/amazon-nova-embeddings.json) ### What we couldn't check - Whether `InvokeModel` works for this model today. The Nova guide documents it and the Bedrock model card marks Invoke as unsupported. No call was made. - Whether the model has changed since 28 October 2025. No release notes for it were found, and the GovCloud Region and batch pricing are undated. - Which languages the model supports. No language list was found in the two embedding pages. - Whether the data-retention modes apply to `InvokeModel` and `StartAsyncInvoke`. The page names the Messages, Chat Completions and Responses APIs. - The lead gave the range as 256 to 3072 dimensions. The model accepts only 256, 384, 1024 and 3072. - unchecked: the AWS DPA and sub-processor list, the AWS Customer Agreement and the AWS privacy notice were not read in this run - unchecked: the AI service card for the model, and the AWS News blog post linked from the announcement ### Sources - Nova embeddings guide: (seen 2026-10-08) - Nova embeddings guide, Markdown copy: (seen 2026-10-08) - request and response schema: (seen 2026-10-08) - Nova user guide llms.txt: (seen 2026-10-08) - Nova user guide document history: (seen 2026-10-08) - Nova 2 developer guide document history: (seen 2026-10-08) - Nova 2 release notes: (seen 2026-10-08) - Bedrock model card: (seen 2026-10-08) - Bedrock endpoints and quotas: (seen 2026-10-08) - Bedrock pricing page: (seen 2026-10-08) - price feed loaded by the pricing page: (seen 2026-10-08) - general availability announcement, 28 October 2025: (seen 2026-10-08) - Bedrock API keys: (seen 2026-10-08) - InvokeModel API reference: (seen 2026-10-08) - StartAsyncInvoke API reference: (seen 2026-10-08) - API error codes and retry guidance: (seen 2026-10-08) - model lifecycle for models launched before 7 September 2026: (seen 2026-10-08) - abuse detection and default retention: (seen 2026-10-08) - data retention modes: (seen 2026-10-08) - data protection: (seen 2026-10-08) - CloudTrail logging: (seen 2026-10-08) - Bedrock document history: (seen 2026-10-08) - Bedrock SLA: (seen 2026-10-08) - Bedrock status feed, us-east-1: (seen 2026-10-08) - AWS Health Dashboard history file: (seen 2026-10-08) - AWS Service Terms, updated 1 October 2026: (seen 2026-10-08) - AWS Free Tier FAQ: (seen 2026-10-08) - SOC services in scope, updated 11 August 2026: (seen 2026-10-08) - security.txt: (seen 2026-10-08) - boto3 on PyPI: (seen 2026-10-08) - npm client: (seen 2026-10-08) - RDAP for amazon.com: (seen 2026-10-08) ## Who's behind it (provenance 88/100, checked 2026-10-08) | Check | Finding | Points | | --- | --- | --- | | Legal entity named | Amazon Web Services, Inc. | 20/20 | | Domain age | amazon.com, registered 1994-11-01 (31 years) | 15/15 | | Endpoint on the vendor's domain | bedrock-runtime.us-east-1.amazonaws.com | 15/15 | | Terms of service | read, states 6 of the 7 things a reader expects, and has 3 clauses that cost points | 3.1/10 | | Privacy policy | read, states 8 of the 8 things a reader expects | 10/10 | | Status page | health.aws.amazon.com/health/status | 10/10 | | Changelog | published | 10/10 | | security.txt | published but past its Expires date | 5/10 | The endpoint is on amazonaws.com, an AWS domain registered on 2005-08-18. The security.txt on aws.amazon.com passed its Expires date on 2026-09-24. The AWS Service Terms were last updated on 1 October 2026. Section 50.12 covers Amazon Bedrock, and Bedrock is not among the services section 50.3 lists for use of content to improve AWS services. RDAP gives 1994-11-01 for amazon.com and 2005-08-18 for amazonaws.com. aws.amazon.com/.well-known/security.txt has Contact and Policy fields. Its Expires value is 2026-09-24T16:25:03Z, which had passed on 2026-10-08. The pricing page draws its tables by script. Prices were read from the price feed the page loads, for US East (N. Virginia). The legal entity is as the existing AWS listings record it. The AWS Customer Agreement and the privacy notice were not re-read in this run. ### Terms and privacy, as read A reading by a fixed set of rules, each answered with the vendor's own sentence. Not legal advice. **Terms of service** (https://aws.amazon.com/service-terms/), read 2026-10-08, dated 2026-10-01, states 6 of the 7 things a reader expects. - To know. Says it may use customer content to train or improve models, and gives an opt-out. "You may instruct AWS not to use and store Amazon WorkSpaces AI Content processed by Amazon WorkSpaces AI Features to develop and improve the Service or technologies of AWS or its affiliates by configuring an AI services opt-out policy using AWS Organizations." - To know. Restricts automated access (costs points). "Reverse engineer, decompile, attempt to reconstruct, scrape, systematically collect, or duplicate Address Validation Data." - To know. Restricts benchmarking or competitive use (costs points). "You may not, and may not allow any third party to, use Amazon CloudWatch Network Monitoring, or any data or information made available through Amazon CloudWatch Network Monitoring, to, directly or indirectly, develop, improve, or offer a similar or competing product or service." - To know. Says the terms or the service can change without notice (costs points). "We may change, discontinue, or deprecate support for any third-party software development services at any time without prior notice." - Gives the date it was last updated. Last updated 2026-10-01. - Not found in the text. Names the governing law or courts. - Says how changes to the terms are announced. Gives 30 days of notice before a change. **Privacy policy** (https://aws.amazon.com/privacy/), read 2026-10-08, dated 2026-05-18, states 8 of the 8 things a reader expects. - To know. Says it sells personal data or shares it for advertising. "To help you receive more useful and relevant ads on other sites and services and to measure their effectiveness, AWS shares limited personal information with our advertising partners." - Gives the date it was last updated. Last updated 2026-05-18. - Says how long data is kept. For as long as needed, with no period named. - Gives a privacy contact. Names a data protection officer. - Says where data is transferred or stored. Relies on the Data Privacy Framework. - Also in the text (2026-10-08). The notice does not cover content that customers process, store or host on AWS. It refers to the customer agreement for how that content is handled. "This Privacy Notice does not apply to the “content” processed, stored, or hosted by our customers using AWS Offerings in connection with an AWS account." ## Live (updated 2026-10-09 10:14 UTC) - Right now: up, HTTP 404, 249 ms, checked 2026-10-09 10:14 UTC (get on `https://bedrock-runtime.us-east-1.amazonaws.com`) - Uptime 24h 100.0% (28 probes) · 30 days 100.0% (28 probes) · p50 251 ms · p95 276 ms - Always current: https://www.anchorterminal.com/api/v1/live/amazon-nova-embeddings.json ## Probe metrics Not measured yet. Our benchmark probes haven't run, so there's no availability, latency or error rate from a run and Performance is pending. Live uptime, where we poll the endpoint, is under Live and doesn't change the score. ## Prices | Item | Price | Unit | Note | | --- | --- | --- | --- | | Text input, on demand | $0.135 | per 1M tokens | US East (N. Virginia) | | Text input, batch | $0.0675 | per 1M tokens | | | Standard image input | $0.0001 | per image | Batch $0.00003 | | Document image input | $0.0006 | per image | Batch $0.00048 | | Video input | $0.0007 | per second of video | Batch $0.00056 | | Audio input | $0.0084 | per minute of audio | $0.00014 a second. Batch $0.000112 a second | Across all listings: https://www.anchorterminal.com/prices/index.md ## Strengths - Text, images, document images, video and audio share one vector space, with four output sizes from 256 to 3072 - `embeddingPurpose` has nine documented values, with separate settings for indexing and for each retrieval type - Published quotas of 2,000 requests a minute and 30 concurrent asynchronous jobs per Region - Bedrock stores no model inputs or outputs by default, and this model is not on the abuse-detection retention list - The asynchronous API segments long text, audio and video itself and writes one embedding per segment to S3 ## Weaknesses - In-Region inference in us-east-1 and us-gov-west-1 only, with no cross-Region inference profile - A synchronous request embeds one item, with at most 8,192 characters of inline text or 30 seconds of audio or video - The Bedrock model card marks Invoke as unsupported while the Nova guide documents `InvokeModel` for synchronous calls - No dated change to the model was found after its launch on 28 October 2025 - Both quotas are marked not adjustable through Service Quotas ## Before you call it (notes for agents) 1. Call `bedrock-runtime` in us-east-1 with model ID `amazon.nova-2-multimodal-embeddings-v1:0`. No other commercial Region serves it 2. Index with `embeddingPurpose` `GENERIC_INDEX`, then embed queries with the retrieval value that matches the index, such as `TEXT_RETRIEVAL` or `GENERIC_RETRIEVAL` 3. Always send `truncationMode` with text. It is required, and `NONE` fails the request when the text is too long 4. Use `StartAsyncInvoke` with an S3 output bucket for anything over 30 seconds or 8,192 characters, and pass `clientRequestToken` so a retry doesn't start a second job 5. Keep one `embeddingDimension` per index. The default is 3072 ## Connect Install: ```bash pip install boto3 ``` Through letme (picks today, calling later): https://letme.dev/amazon-nova-embeddings (letme picks it for embed.multimodal, the top-graded tool for the job). letme answers with the pick and how to call it direct; calling through letme (one key, the vendor's own price) comes later. How it works: https://www.anchorterminal.com/letme/index.md ## Similar tools Ranked by shared capabilities, then score. Same-category tools with no shared capability key are listed last. | Tool | Grade | Score | Rank | Shared capabilities | x402 | Markdown | | --- | --- | --- | --- | --- | --- | --- | | Cohere Embed and Rerank | BB | 72.5 | 100 | embed.text, embed.multimodal | no | https://www.anchorterminal.com/tools/cohere-embed.md | | Gemini Embedding | BB | 70.6 | 143 | embed.text, embed.multimodal | no | https://www.anchorterminal.com/tools/gemini-embedding.md | | Jina Embeddings and Reranker | C | 61 | 438 | embed.text, embed.multimodal | no | https://www.anchorterminal.com/tools/jina-embeddings.md | | NVIDIA NeMo Retriever Embedding and Reranking NIMs | C | 61 | 439 | embed.text, embed.multimodal | no | https://www.anchorterminal.com/tools/nvidia-nemo-retriever.md | | Voyage AI embeddings and rerankers | C | 58.8 | 514 | embed.text, embed.multimodal | no | https://www.anchorterminal.com/tools/voyage-ai.md | | Nomic Embed | D | 49.2 | 711 | embed.text, embed.multimodal | no | https://www.anchorterminal.com/tools/nomic-embed.md | ## Panel reviews (0) Reviewed by the Anchor panel (https://www.anchorterminal.com/reviewers/index.md): . Desk reviews, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made. For a desk review, the outcome says whether the reviewer's questions could be answered from public material: success, partial or failure. How reviews work: https://www.anchorterminal.com/reviews/how-it-works.md ## Notable - The model ID is `amazon.nova-2-multimodal-embeddings-v1:0` and the request body takes `schemaVersion` `nova-multimodal-embed-v1` (source: ) - Synchronous calls use `InvokeModel` with `taskType` `SINGLE_EMBEDDING`. Asynchronous calls use `StartAsyncInvoke` with `SEGMENTED_EMBEDDING` and write results to an S3 bucket (source: ) - A request takes one of text, image, audio or video, never more. Video can return one combined embedding or separate audio and video embeddings (source: ) - The Bedrock model card lists in-Region inference in us-east-1 and us-gov-west-1, no geographic or global inference profile, and the Standard service tier only (source: ) - The same card marks Invoke as unsupported and StartAsyncInvoke as supported, which contradicts the Nova guide's `InvokeModel` example. Its sample code sends an empty `modelInput` (source: ) - Default quotas are 2,000 on-demand requests a minute and 30 concurrent asynchronous requests per Region, both marked not adjustable (source: ) - The card gives a launch date of 28 October 2025, an end of life no sooner than 28 October 2026, a Legacy period of at least 6 months and a lifecycle state of Active (source: ) ## Compare - [Amazon Nova Multimodal Embeddings vs Cohere Embed and Rerank](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-cohere-embed.md): BB 75 vs BB 72.5 - [Amazon Nova Multimodal Embeddings vs Gemini Embedding](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-gemini-embedding.md): BB 75 vs BB 70.6 - [Amazon Nova Multimodal Embeddings vs Jina Embeddings and Reranker](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-jina-embeddings.md): BB 75 vs C 61 - [Amazon Nova Multimodal Embeddings vs Mistral Embed and Codestral Embed](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-mistral-embeddings.md): BB 75 vs C 57.9 - [Amazon Nova Multimodal Embeddings vs Nomic Embed](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-nomic-embed.md): BB 75 vs D 49.2 - [Amazon Nova Multimodal Embeddings vs NVIDIA NeMo Retriever Embedding and Reranking NIMs](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-nvidia-nemo-retriever.md): BB 75 vs C 61 - [Amazon Nova Multimodal Embeddings vs OpenAI embeddings](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-openai-embeddings.md): BB 75 vs BB 73.2 - [Amazon Nova Multimodal Embeddings vs Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-voyage-ai.md): BB 75 vs C 58.8 - [Amazon Nova Multimodal Embeddings vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-zeroentropy.md): BB 75 vs F 13.7 ## Verify this listing For the vendor. The badge or a plain link to this page verifies the listing, from a page on amazon.com or one of its subdomains. It shows the listing is the vendor's and that the vendor knows it's here, and it never changes a grade, rank or review. The vendor sends the page's address to `POST https://www.anchorterminal.com/api/v1/verify` as `{"slug": "amazon-nova-embeddings", "url": "…"}`, or calls the `verify_listing` tool at https://www.anchorterminal.com/mcp. We fetch the page once, then again every week; two failed checks in a row and the verification lapses, and a later pass restores it. What we check: https://www.anchorterminal.com/builders/index.md#verify HTML badge: ```html Amazon Nova Multimodal Embeddings on Anchor Terminal ``` Markdown badge, for a README: ```markdown [![Amazon Nova Multimodal Embeddings on Anchor Terminal](https://www.anchorterminal.com/badges/amazon-nova-embeddings.svg)](https://www.anchorterminal.com/tools/amazon-nova-embeddings) ``` Plain link: ```html Amazon Nova Multimodal Embeddings on Anchor Terminal ``` ## Share this listing For the vendor. Sharing assets for social media, two PNGs of 1200 × 630 that say Amazon Nova Multimodal Embeddings is listed on Anchor Terminal, with the vendor's logo and this page's address and no grade or score. - Dark: https://www.anchorterminal.com/assets/share/amazon-nova-embeddings-dark.png - Light: https://www.anchorterminal.com/assets/share/amazon-nova-embeddings-light.png