Amazon Nova Micro

by Amazon

All Amazon releases

Nova Micro is Amazon's fastest and most efficient text-only model, optimized for speed and cost in real-time applications. With a 128K token context window and very low latency, it excels at text summarization, content classification, translation, and interactive chat where responsiveness matters. Designed as the entry-level member of the Nova family, Micro handles text-in, text-out tasks including simple mathematical reasoning, basic coding, interactive brainstorming, and automated FAQ generation. While it lacks vision and video capabilities, its speed and cost efficiency make it well suited to customer-facing chat, content processing pipelines, and quick analytical tasks. Nova Micro supports prompt caching, function calling for tool use, and customization through fine-tuning or model distillation to improve accuracy on domain-specific tasks. The model understands and generates text in over 200 languages, with particularly strong performance in major languages. Launched in December 2024, Nova Micro serves developers who need immediate inference speed without vision requirements, making it suitable for latency-sensitive applications.

Key info

Input
Output
Features
Context window
128K
Max output
5K
Input price
$0.04 /1M
Output price
$0.14 /1M
Released
  • onchain settlement available
  • Zero data retention on pay-as-you-go
  • No training by default
  • no-KYC deposit available

Available routes

Amazon Nova Micro runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance β€” full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
EUZero data retentionNo$0.04$0.14

Uptime and availability

Amazon Nova Micro runs on a single route through the qynio gateway today, so its availability is that provider's availability.

100%route uptime, last 30 days
Single route, no failover target within this model.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. .

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.

Data handling per route

Each route hosting Amazon Nova Micro has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.

AWS Bedrock β€” SwedenπŸ‡ΈπŸ‡ͺ

Zero data retention is on by default on Pay-as-you-go β€” no action required. No training on customer data. EU; deposit available.

Zero data retention
On by default on Pay-as-you-go. Derived from the logging and moderation facts.
Training
No training on customer data.
Logging
None
Moderation
Not established
Caching
Not established
Subprocessor access
Not established
no-KYC deposit
deposit available
Transfer mechanism
Not applicable β€” data stays in EU

Benchmarks

Independent benchmark scores β€” composite indices for reasoning, coding, and math, plus individual eval scores where available.

Global rank#544 of 630 LLMs
TierEfficient
Output speed288 tok/s
First token0.57s
Intelligence Index4.4
Math Index6.0
Reasoning & knowledge
MMLU-Pro
53%
GPQA Diamond
36%
Humanity's Last Exam
5%
Long-context reasoning
11%
Coding
LiveCodeBench
14%
SciCode
9%
Agentic & tool use
Terminal-Bench Hard
2%
τ²-Bench Telecom
14%
Math & instruction following
AIME 2025
6%
IFBench
29%

Get started

Call Amazon Nova Micro through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β€” qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.QYN_API_KEY,
baseURL: "https://api.qyn.io/v3/compat",
});
const completion = await client.chat.completions.create({
model: "aws/nova-micro-eu",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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