eu.amazon.nova-micro-v1:0

bedrock_converse · Chat model

eu.amazon.nova-micro-v1:0 is listed here as a chat model from bedrock_converse. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Provider and model identifiers are kept in their original form for accuracy.

bedrock_converse-eu-amazon-nova-micro-v1-0

Input

$0.0460 / 1M tokens

Output

$0.1840 / 1M tokens

Cached input

$0.0046 / 1M tokens

Context window

128.0K

Catalog generated: Jul 13, 2026

Compare this model Open a side-by-side table using this route and a close match from the current catalog. Estimate cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill.

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Same base model routes

These route variants are shown only when reviewed source metadata ties exact provider routes to the same base model. Prices remain route-specific. Reviewed identity: amazon.nova-micro-v1:0.

Route	Route ID	Scope	Input	Output	Open
amazon.nova-micro-v1:0 bedrock_converse	amazon.nova-micro-v1:0 Base model ID	Base	$0.0350 / 1M tokens	$0.1400 / 1M tokens	Open route
eu.amazon.nova-micro-v1:0 bedrock_converse Current route	eu.amazon.nova-micro-v1:0 Geo inference profile	EU	$0.0460 / 1M tokens	$0.1840 / 1M tokens	Open route
us.amazon.nova-micro-v1:0 bedrock_converse	us.amazon.nova-micro-v1:0 Geo inference profile	US	$0.0350 / 1M tokens	$0.1400 / 1M tokens	Open route

Pricing

Item	Price
Input	$0.0460 / 1M tokens
Output	$0.1840 / 1M tokens
Cached input	$0.0046 / 1M tokens
Embedding	$0.0460 / 1M tokens

Limits

Context window

128.0K

Max input tokens

128.0K

Max output tokens

5.0K

Max tokens

128.0K

Explore benchmarks Review benchmark rows by family and benchmark label without cross-benchmark ranking. Check data sources See how pricing data is generated and what still needs provider verification. API vs subscription Learn when API pricing matters compared with ChatGPT, Claude Code, Cursor, or Copilot subscriptions. Cache and batch pricing Understand cached input, cache write, batch, priority, and flex pricing rows shown on this page.

Capabilities

Capability	Supported
Vision	-
Function calling	Supported
Parallel function calling	-
Tool choice	-
Prompt caching	Supported
Reasoning	-
Response schema	Supported
System messages	-
Audio input	-
Audio output	-
Web search	-
PDF input	-
Video input	-

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route.

Benchmark	Score	Metric	Scope	Checked	Source
MMLU	77.6	accuracy	Model route	2026-07-13	Link
ARC-Challenge	90.2	accuracy	Model route	2026-07-13	Link
DROP	79.3	F1-score	Model route	2026-07-13	Link
GPQA	40	accuracy	Model route	2026-07-13	Link
MATH	69.3	accuracy	Model route	2026-07-13	Link
GSM8K	92.3	accuracy	Model route	2026-07-13	Link
IFEval	87.2	accuracy	Model route	2026-07-13	Link
BBH	79.5	accuracy	Model route	2026-07-13	Link

Sources

Source links	LiteLLM repository LiteLLM model cost map
Pricing data	LiteLLM model cost map
Synced at	2026-05-28
Catalog generated	2026-07-13T14:21:55.110Z