Agent Advisor

Amazon Bedrock Pricing Cache

Last updated: 2026-10-26 (fact re-verify 2026-10-26: Stable Image Core N. Virginia source note, Titan Text Embeddings v2 lifecycle check, GPT-6 Luna card re-verify incl. the 272K short/long boundary, Sonnet 5.5 Geo note; added Claude Sonnet 5.5 / Haiku 5.5 Global+Geo rows and DeepSeek V3.2 quick-ref from Bedrock pricing US East (Ohio) + model cards; Haiku 5.5 ≤100K / >100K long-context tiers + cache; lifecycle Status refresh — Claude Sonnet 4 → past EOL; Opus 4.1 → excluded; Llama 4 Maverick/Scout, Llama 3.3 70B, DeepSeek-R1/V3.1, Claude Sonnet 4.5 → legacy; Marengo 3.0 replacement scoped to non-Seoul; other rates unchanged from the 2026-10-05 pricing re-verify) Region: us-east-1 Currency: USD Accuracy: ±15-25% for AI/Bedrock models and services (sourced from public pricing pages)

Prices may vary by region and change over time. Use for estimation only; there is no live pricing lookup — for the latest rates, check the public AWS pricing pages (e.g. https://aws.amazon.com/bedrock/pricing). Amazon Nova figures often reference US East (Ohio) and inference mode (global vs geo); retain those qualifications when estimating. Staleness warning: If today's date is more than 30 days after the Last updated date above, treat AI model prices as potentially stale (±15-25% accuracy may widen). When staleness is detected, keep pricing_source.status: "cached" (the schema enum is cached | cached_fallback | unavailable — there is no cached_stale status) and record the staleness in the dedicated pricing_source.fallback_staleness object: set is_stale: true and staleness_warning: "Pricing cache is more than 30 days old — AI model prices may have changed. Verify against [aws.amazon.com/bedrock/pricing](https://aws.amazon.com/bedrock/pricing/)." Surface that same warning to the user in the estimate output.

Lifecycle is not a cached price field. The Status column below is a dated snapshot, not permission to skip the lifecycle check. Before selecting any model, call GetFoundationModel or ListFoundationModels and read modelLifecycle.status. For a model launched on or after 2026-09-07, also read its model card: its Legacy period may be 45 days rather than 6 months, and it will never appear in the Legacy/EOL table. See vendored/ai/ai-model-lifecycle.md.

Bedrock Models (On-Demand)

Opus selection policy: Recommend Opus 5.5 for new Opus migration targets. Opus 4.8 rates are retained for existing deployments only; do not recommend it as a new target or automatic fallback. The separately documented Opus 4.6 Batch exception remains.

Opus 5.5 rates verified: 2026-09-24. Source: AWS Price List API, service AmazonBedrockFoundationModels, filter servicename = Claude Opus 5.5 (Amazon Bedrock Edition) and the source regionCode; see Bedrock pricing. The Opus 5.5 rows below are Standard on-demand, per 1M tokens: Global $4/$20; commercial Geo and Mantle in-region $4.40/$22; GovCloud $4.80/$24. For example, us-east-1 input/output SKUs are KVG5FBPDJPKF5TJY / MWH4TD2A4D5CEBAP (Global) and J9QFZT8WAQABG9ZX / FCRGDQ596BG7EQKH (Geo/Mantle). The model card lists Active lifecycle, 1M context, 128K output, and no Batch. Runtime uses us./eu./au./jp. Geo or global. CRIS, or the bare ID in eu-west-2 (in-region model-card and pricing verification: 2026-10-03); Global is not available in GovCloud. Mantle uses the bare ID only in us-east-1, ap-southeast-4, and us-gov-west-1. Choose the price row by region and inference profile; a generic model name alone is insufficient. Other cache rows retain the full-cache date at the top of this file.

Anthropic Claude (Standard on-demand) figures below match US East (N. Virginia) on Amazon Bedrock pricing as of cache refresh. Recommend defaults (new migrations): Claude Sonnet 5 (flagship), Claude Opus 5.5 (demanding reasoning), Claude Haiku 5.5 (cost/speed). Do not default to any Claude Fable / Mythos frontier model (Fable 5, Fable 5.1, and successors). Claude Fable 5 and Claude Fable 5.1 (GA Sep 1, 2026) are the most expensive Anthropic models (Mythos-class). Fable 5 is $10/$50 per 1M tokens, Global/base. Fable 5.1 is served via CRIS only (no in-region/bare-id form), with two supported profiles: Global (global.anthropic.claude-fable-5-1) at $10/$50 — supported from commercial us-east-1 and a real option when there is no residency constraint — and Geo US (us.anthropic.claude-fable-5-1) at $11/$55 (~10% above Global), for workloads with US-only residency requirements. Quote whichever profile matches the actual deployment target; do not default to Geo pricing for a Global deployment. Fable 5.1's cache read is $0.25 (Global; 0.025x of Global input) or $0.275 (Geo); Fable 5's cache read is $1.00 (Global). Bedrock lists no batch rate for either. Both are Anthropic Covered Models: using them requires opting the account into the aws_review data-retention mode. In-region (non-CRIS) access for Fable 5.1 exists only in AWS GovCloud (US). Claude Mythos 5.1 is a gated Preview for vetted cyber/bio research organizations and is not a migration target. Claude Opus 4.8 keeps the same $5/$25 rate as Opus 4.6/4.7. Claude Sonnet 5 launched June 30 at $2/$10; that launch rate became the standard price on Sep 1, 2026 (the scheduled increase to $3/$15 was cancelled), so Sonnet 5 is now both newer and cheaper than Sonnet 4.6 ($3/$15). Claude Opus 4.7 lists the same headline on-demand input/output as Opus 4.6 on that page; confirm batch availability per model (Opus 4.7 batch was not listed on the global cross-region table when this row was added). Claude Opus 4.1 entered Legacy on Jul 8, 2026 (EOL Jan 8, 2027). Batch, prompt cache (5m / 1h write + cache read), and geo / in-region cross-region rows on that page can differ; e.g. US East (Ohio) cross-region inference for Claude Sonnet 4.6 is listed at $3.30 / $16.50 per 1M input/output (≈10% above N. Virginia). Long-context SKUs do not all use the same multiplier: Sonnet 4.6 and Opus 4.6 long-context modes share the same on-demand rates as the non–long-context rows on the standard table; Sonnet 4.5 and Sonnet 4 long-context rows are priced higher on that same table.

Geo vs. Global inference pricing. Sonnet 5, Opus 4.8, Sonnet 4.6, and Haiku 4.5 cannot be invoked on-demand with their bare model ID in US regions on bedrock-runtime — they require a cross-Region inference profile ID there (see llm-to-bedrock/references/helpers/bedrock-known-fixes/references/bedrock-inference-profile-model-id.md). This is per-model and per-region, not universal: Haiku 4.5's model card states the bare ID is never supported for on-demand throughput on any bedrock-runtime region. Sonnet 5 and Sonnet 4.6, by contrast, DO support true in-Region (bare-ID) invocation — but only from eu-west-2 (London); every US region (and every other region checked) shows In-Region unsupported for both models. Opus 4.8 behaves like Haiku 4.5: no in-Region support anywhere. Confirm the target model's actual In-Region/Geo/Global support table on its model card before assuming either outcome.

The Geo profile (us./eu./au./jp./in. prefix) carries a ~10% price premium over Global (global. prefix) — the US East (Ohio) cross-region row cited above for Sonnet 4.6 ($3.30/$16.50) is this same Geo premium. AWS documents Global cross-Region inference as saving "approximately 10%... compared to geographic cross-Region inference." The table below's bare-id rows are the Global/base rate; for a Geo (us.-prefixed) deployment, multiply input/output by 1.10 — Sonnet 5 and Sonnet 5.5 Geo are $2.20/$11.00 (Sonnet 5.5 Geo is listed directly on the pricing table, not derived), Opus 4.8 Geo is $5.50/$27.50, Sonnet 4.6 Geo is $3.30/$16.50, Haiku 4.5 Geo is $1.10/$5.50. llm-to-bedrock/scripts/bedrock_pricing.py's STATIC_FALLBACK table keys the us. id to the Geo rate and the bare id to the Global/base rate — read from that table, not this one, when a migration plan pins a specific inference profile.

Opus 5.5 rows already specify Global, Geo, Mantle, London or GovCloud pricing; do not apply another 1.10 multiplier.

Sonnet 5.5 / Haiku 5.5 (anthropic.claude-sonnet-5-5 / anthropic.claude-haiku-5-5 on Bedrock), rates verified 2026-10-25. Source: Amazon Bedrock pricing, Anthropic models table, Global and Geo/In-region Cross-region Inference, US East (Ohio); model cards confirm Active lifecycle and 1M context. Per 1M tokens — Sonnet 5.5 Global: input $2.00, output $10.00, 5m cache write $2.50, 1h cache write $4.00, cache read $0.10; Geo (US): $2.20 / $11.00, 5m $2.75, 1h $4.40, cache read $0.11. Haiku 5.5 uses tiered long-context pricing at a 100,000-token prompt boundary (model card; Bedrock pricing "Claude Haiku 5.5 - Long Context" row). Prompt length counts all input tokens including cache reads and cache writes. When the prompt exceeds 100,000 tokens, the higher Long Context rates apply to the whole qualifying request (input, output, and cache read/write) — not only the tokens past the boundary. Per 1M tokens — ≤100K Global: input $0.10, output $0.50, 5m cache write $0.125, 1h cache write $0.20, cache read $0.01; US Geo: $0.11 / $0.55, 5m $0.1375, 1h $0.22, cache read $0.011. >100K Global: $0.50 / $2.50, 5m $0.625, 1h $1.00, cache read $0.05; US Geo: $0.55 / $2.75, 5m $0.6875, 1h $1.10, cache read $0.055. When per-request prompt size is unknown, do not silently quote the ≤100K row — follow the existing unavailable / dual-scenario handling in estimate-ai.md (flag pricing_tier: "approximate — request-size distribution unknown" and present both ≤100K and >100K rows, or set pricing_source: "unavailable"). Batch is N/A for both Sonnet 5.5 and Haiku 5.5. Cache-read note: Sonnet 5.5 cache read is reduced 50% from the prior rate starting October 7, 2026 (prior Global $0.20). Sonnet 5 keeps its own $0.20 Global cache-read row. Do not silently reuse Sonnet 5 or Haiku 4.5 rates for 5.5 estimates. Read the Sonnet 5.5 migration guide before recommending Sonnet 5.5 request/response handling.

GPT-6.1 Terra rates verified 2026-11-02. Source: AWS model card. The quick-reference row is Standard pricing for requests with at most 272,000 input tokens, using Mantle in-region in us-east-1 or runtime US Geo CRIS. Global CRIS is $1.00/$5.00 per 1M input/output tokens. Above 272,000 input tokens, reprice the full request: In-Region/US Geo $2.20/$8.25, Global $2.00/$7.50. The context window is 1,050,000 tokens, not 272K. Cache write/read rates per 1M tokens are $1.375/$0.055 (short In-Region/Geo), $1.25/$0.05 (short Global), $2.75/$0.11 (long In-Region/Geo), and $2.50/$0.10 (long Global). Cache writes retain the prefix for 30 minutes. These rates already include the applicable inference-option premium; do not apply another 1.10 multiplier. If request-size distribution is unknown, show both context scenarios or mark the estimate unavailable. Source-provider prices require separate verification; do not infer them from these Bedrock rates.

Multi-provider quick reference (per 1M tokens)

See vendored/ai/ai-model-lifecycle.md for lifecycle details. Do not recommend Legacy models for new migrations. Rows whose Status is restricted (…) are never recommended_model / backup_model and never a default (Covered Models, gated previews).

Embeddings — Bedrock (per 1M input tokens, US East)

Embedding models are input-only — priced per 1M input tokens, no output charge. Use for embedding capability workloads (RAG corpora, semantic search, FAQ retrieval). A migration from an OpenAI/Azure embedding deployment lands on one of these; note the dimension must match (or the corpus must be re-embedded and any similarity threshold recalibrated).

Default target for a migrating OpenAI/Azure embedding workload: Titan Text Embeddings v2 (amazon.titan-embed-text-v2:0) — cheapest, configurable dimensions (1024 default; 512/256 for cost/latency). Choose Cohere Embed v4 when the source used a large-dimension model and matrix compatibility or multilingual quality matters. Titan v2 output dimension is configurable, so map text-embedding-3-large (3072-dim) or -small (1536-dim) to Titan 1024 and re-embed — there is no dimension-preserving swap. See references/vendored/ai/ai-openai-to-bedrock.md.

Stability AI — Image Generation (per image, US East (N. Virginia))

Active image generation models on Bedrock. Priced per image (not per token). Use for image_generation capability workloads.

Stable Image Core source: $0.04 per generated image, on-demand, from the AWS Stability AI price table on Amazon Bedrock pricing, which lists Stable Image Core for US East (N. Virginia) (verified 2026-10-25); the Stable Image Core 1.0 model card reads Active, Model EOL date N/A (verified 2026-10-26). Gemini's image-generation price for comparison: Gemini 3.1 Flash Image (Nano Banana 2) output is $30 per 1M image tokens — $0.0336 per 1K (1024×1024) image standard, $15 per 1M ($0.0168 per 1K image) batch — per Gemini API pricing (verified 2026-10-26); token-to-image equivalence with a 1MP Stable Image Core render is unverified.

Model ID source: stability.stable-image-core-v1:1 and stability.stable-image-ultra-v1:1 are the bedrock-runtime Model IDs in the Programmatic Access tables of the Stable Image Core 1.0 and Stable Image Ultra 1.0 model cards (verified 2026-10-27); both are in-Region us-west-2 only, no Geo/Global inference profile, Active, Model EOL date N/A. The earlier v1:0 suffix is not listed on any Bedrock model card or lifecycle table — do not emit it.

Image editing services (inpaint, erase, upscale, etc.) are priced at $0.03–$0.60/operation. See Bedrock pricing for full list.

Cost comparison note: DALL-E 3 (OpenAI) charges $0.04–$0.12/image depending on resolution. Google Imagen charges per character of prompt. When comparing, use per-image cost directly — do not convert Stability AI prices to per-token equivalents.

Anthropic Claude — batch & prompt cache (Standard, US East N. Virginia)

Per 1M tokens unless noted. See Bedrock pricing for full regional and tier tables.

Batch support verified 2026-09-02 against the supported Regions and models for batch inference table: Opus 4.6, Sonnet 4.6, Opus 4.5, Sonnet 4.5, Sonnet 4.5 — LC, and Haiku 4.5 are listed (via cross-region inference profiles; batch is 50% of on-demand per the pricing page, matching the rows below). Fable 5, Sonnet 5, and Opus 4.8 are NOT on that table — Sonnet 5 and Opus 4.8's batch cells below are unverified (‡): do not build a batch-discount TCO on them; price on-demand and note batch as a possible future saving pending the docs table listing them. Fable 5 / 5.1 instead carry N/A per the separate pricing-page verification below. Prompt-cache columns are unaffected (caching support is independent of batch). Batch rate vs. cross-region inference (CRIS): the confirmed rows show 50% of the N. Virginia on-demand price. Where batch is only reachable through a CRIS profile that lists above N. Virginia (e.g. Sonnet 4.6 in US East (Ohio) at ≈10% higher — see the on-demand section), the effective batch rate is 50% of that CRIS price, i.e. ≈10% above the cells here. Re-derive from the profile's on-demand rate for a region-specific quote. Do not cross-check these rows against the AWS Pricing Calculator — as of Sep 2026 the calculator carries no batch metered IDs for Opus 4.6 / Sonnet 4.6 and collapses other batch/cache SKUs (known calculator defect, not a pricing-page signal). The pricing page and the docs table above are the sources of truth.

Batch: the Bedrock pricing page lists N/A for Claude Fable 5 and Fable 5.1 in both the Global and the Geo / In-region Anthropic tables (read 2026-09-03). Anthropic's first-party API offers a 50% batch discount on these models; Bedrock does not list one — do not assume a batch rate for Fable-class models.

‡ Not listed on the batch-supported models table as of 2026-09-02 — rate is the standard 50%-of-on-demand projection, not a confirmed SKU. Mark these batch cells _unverified_ in estimate output; the unverified gate in estimate-ai.md (§ Pricing source caveat) treats any _unverified_ row as blocking for a quoted figure — resolve from the Bedrock pricing page first.

AI21 Labs

On-demand, US East (N. Virginia) per Amazon Bedrock pricing. Prices per 1M input / output tokens.

Quick-reference rows use — for model ID and context; resolve in the Bedrock console or AWS model documentation.

Mistral AI

Per Amazon Bedrock pricing (Mistral AI). Priority tier ≈ +75% vs Standard; Flex ≈ −50% vs Standard on the same page.

US East (Ohio) — Pixtral (on-demand + batch header from page)

On-demand — US East (N. Virginia), US East (Ohio), US West (Oregon)

Prices per 1M input / output tokens.

Rates differ in Asia Pacific (Mumbai), São Paulo, Tokyo, Europe (Ireland/Milan/London), Sydney, Jakarta, Frankfurt, Stockholm (e.g. Mistral Large 3 Mumbai $0.59 / $1.76). Devstral 2 123B appears in Jakarta / Frankfurt / Stockholm at $0.48 / $2.40 on the same page.

DeepSeek (Amazon Bedrock)

Per Amazon Bedrock pricing (DeepSeek).

US East (Ohio) — Standard tier

Note: DeepSeek-V3.1 is no longer listed for US East regions on the Bedrock pricing page as of May 2026. Use DeepSeek-V3.2 for US East deployments. DeepSeek-V3.1 remains available in Asia Pacific (Sydney).

US East (N. Virginia), US East (Ohio), US West (Oregon)

Other regions (examples on same page)

• Asia Pacific (Mumbai), São Paulo, Jakarta, Tokyo, Stockholm: DeepSeek v3.2 $0.74 / $2.22 per 1M.

• Asia Pacific (Sydney): DeepSeek v3.1 $0.5974 / $1.7304; v3.2 $0.6386 / $1.9055 (and Priority / Flex tiers listed separately on the page).

OpenAI on Bedrock (GPT-6, GPT-5.6, and gpt-oss)

See shared/openai-on-bedrock.md for model IDs, endpoint paths, regions, quotas, and caching rules. Bedrock in-region is priced at parity with OpenAI's data residency tier — exactly 1.10x OpenAI's standard list price — so a same-model migration costs about 10% MORE, not the same. Do not describe it as cost-neutral.

GPT-6 family — short context (≤272K)

GPT-6 Astra, GPT-6 Sol, GPT-6 Luna, and GPT-6.1 Sol are priced the same In-Region/Geo-CRIS vs. Global-CRIS way as GPT-5.6: In-Region and Geo-CRIS carry the ~10% data-residency premium over OpenAI's standard rate, while Global CRIS is published at OpenAI's standard list price (cost parity). Figures below are in · cache-write · cache-read · out, per 1M tokens.

GPT-6.1 Sol's cache-read rate is deeper (0.05x vs the other three models' 0.10x) — this is the one real pricing difference from GPT-6 Sol beyond capability.

GPT-6 family — long context (>272K; 1.05M context window)

Full request — input, cache, and output — is repriced at 2x input/cache and 1.5x output above 272K input tokens.

GPT-6 Astra and GPT-6.1 Sol also support a 6x-Standard Ultrafast service tier (service_tier: "ultrafast"), confirmed on both model cards' "Service Tiers" sections; GPT-6 Sol, GPT-6 Luna, and GPT-6.1 Terra are Standard-only. None of the five GPT-6 models support Priority, Flex, or Reserved. See shared/openai-on-bedrock.md for the full breakdown, including per-model Ultrafast availability by region.

Proprietary GPT models — short context (272K), in-region

Regions (mantle): us-east-1 / us-east-2 for all five; us-west-2 additionally carries Terra, Luna and GPT-5.4; AWS GovCloud us-gov-west-1 / us-gov-east-1 carry Terra and Luna, us-gov-west-1 also GPT-5.4 (at its own rate below). Rates reflect the July 30, 2026 reduction (Luna −80%, Terra −20%) and the Aug 21, 2026 Sol reduction (−20% input / −33% output, promotional through at least Nov 21, 2026).

Long context (1M) — GPT-5.6 only, 2.0x input / 1.5x output

A workload above 272K context must be priced at the long-context tier. GPT-5.5 and GPT-5.4 have no such tier, so their usable window is 272K. Global CRIS is published at OpenAI's standard list price (cost parity, GPT-5.6 only — see openai-on-bedrock.md). GovCloud GPT-5.4 is 3.30 / 19.80.

One source conflict. These models are absent from the AWS Price List API entirely: querying AmazonBedrock returns only gpt-oss and GPT OSS Safeguard, and filtering on GPT-5 or a gpt-5 usage type returns zero rows (price-list publication 2026-08-04). An empty price-list result is not evidence the model is unavailable. (An earlier revision also flagged the AWS News Blog's Luna 0.20 / 1.20 as conflicting; it is the Global CRIS rate, not an error.)

Prompt caching (GPT-5.6 only): cached input read at a 90% discount, cache write at 1.25x uncached input, minimum 1,024-token prefix, up to 4 breakpoints, ≥30-minute retention. Cached input is exempt from the input-TPM quota. GPT-5.5 and GPT-5.4 do not list prompt caching support.

Open-weight gpt-oss

The Bedrock page also lists Flex, Priority, Batch, GPT OSS Safeguard, and model customization pricing for other regions.

Meta Llama (Amazon Bedrock)

Per Amazon Bedrock pricing (Meta). Prices per 1M input / output tokens unless noted.

Llama 4 — US East (Ohio), on-demand and batch

Llama 3.3 — US East (Ohio), on-demand and batch

Llama 3.2 — US East (Ohio), on-demand and batch

Lifecycle note: All Llama 3.2 Instruct models reached EOL on Jul 7, 2026 and are no longer available for inference on Bedrock. Do not select for any migrations. Prefer Nova Micro / Lite or Claude Haiku 4.5 (Llama 4 Scout / Maverick are now Legacy — EOL Mar 30, 2027). See vendored/ai/ai-model-lifecycle.md.

Llama 3.2 — customization & provisioned throughput (US West Oregon)

Fine-tuning (per 1M tokens trained / month storage / no-commit PT per model unit-hour):

Provisioned throughput ($/hour per model unit):

Llama 3.1 — US East (Ohio), on-demand and batch

Lifecycle note: Llama 3.1 405B Instruct reached EOL on Jul 7, 2026 and is no longer available for inference on Bedrock. Do not select for any migrations. Prefer Nova Pro or Claude Sonnet 5 (Llama 4 Maverick is now Legacy — EOL Mar 30, 2027). See vendored/ai/ai-model-lifecycle.md.

Llama 3.1 — customization & provisioned throughput (US West Oregon)

Llama 3 — US East (N. Virginia), on-demand

Llama 2 — US East (N. Virginia) and US West (Oregon), on-demand

Llama 2 — customization & provisioned throughput

Fine-tuning: Llama 2 Pretrained (13B) $1.49 per 1M tokens trained, $1.95/month storage, $23.50/unit-hr no-commit infer; (70B) $7.99 / $1.95 / $23.50.

Provisioned throughput (per model unit-hour): 13B and 70B — $21.18 (1-mo commit), $13.08 (6-mo commit). Pretrained Llama 2 is provisioned throughput only after customization per AWS.

Amazon Nova

All figures from Amazon Bedrock pricing (Amazon Nova sections). Nova pricing depends on inference deployment (e.g. Global cross-region vs Geo cross-region and in-region), tier (Standard, Priority, Flex, Batch), modality (text / image / video / audio), and AWS Region. The quick-reference table above uses Geo cross-region inference and in-region, Standard tier, US East (Ohio), text + image + video rates where a single input price applies to all three. Confirm the page before estimates.

Cache read (Nova): AWS states cache read input tokens are 75% below the on-demand input price for the applicable tier/modality.

US East (Ohio) — Standard tier, text + image + video (Geo cross-region inference and in-region)

Per 1M input / output tokens unless noted.

US East (Ohio) — Standard tier, Global cross-region inference (text + image + video)

US East (Ohio) — Standard tier, text / image / video / audio (Geo cross-region and in-region)

Per 1M tokens. Nova 2 Omni and Nova 2 Pro are Preview. Image column is output image pricing where listed.

Global cross-region inference (Ohio), Standard uses different multimodal numbers on the same page — e.g. Nova 2 Omni (Preview) audio in $1.00, text out $2.50, image out $40.00 (text/image/video in $0.30 each). Use the Bedrock pricing page for the deployment you select.

US East (Ohio) — Nova 2 Lite by tier (text + image + video)

Global cross-region inference

Geo cross-region inference and in-region

US East (Ohio) — Batch tier (text + image + video), selected models

On-demand inference (listed rates, cache read column)

Built-in tools — Web grounding (US East Ohio)

Creative — US East (N. Virginia)

Lifecycle note: Nova Canvas v1 and Nova Reel v1 are past EOL (2026-09-30) and listed under Removed in ai-model-lifecycle.md. Inference requests fail. Do not list them in recommendation or comparison tables. Rates below are historical, retained so users who were on them can see what they paid. See vendored/ai/ai-model-lifecycle.md.

Amazon Nova Canvas (on-demand, per image): up to 1024×1024 — Standard $0.04, Premium $0.06; up to 2048×2048 — Standard $0.06, Premium $0.08.

Model customization (Nova Canvas): $0.005 per image seen; $1.95/month per custom model stored; provisioned inference per model unit per hour (no commit / 1-mo / 6-mo) $60.50 / $55.00 / $30.25.

Amazon Nova Reel (video): 720p, 24 fps — $0.08 per second of video generated.

Speech — US East (N. Virginia)

Lifecycle note: Nova Sonic v1 reached EOL on 2026-09-14 and its requests now fail. Rates are retained only to explain the migration to Nova 2 Sonic. See vendored/ai/ai-model-lifecycle.md.

Per 1M tokens.

Multimodal embeddings — US East (N. Virginia)

On-demand inference for custom Nova models matches base Nova inference pricing per AWS.