nova-micro-v1
Amazon Nova Micro 1.0 is a text-only model that delivers the lowest-latency responses in the Amazon Nova family at a very low cost.
Pricing: Input 7 credits / 1M tokens (≈ $0.04), Output 28 credits / 1M tokens (≈ $0.14).
Prices updated
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Nova Micro 1.0 API on ModelFold
Amazon Nova Micro 1.0 is a text-only model that delivers the lowest-latency responses in the Amazon Nova family at a very low cost. Try Nova Micro 1.0 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Nova Micro 1.0 API
Nova Micro 1.0 at a glance
Nova Micro 1.0 is a chat model from Amazon. It accepts text as input and returns text, with a context window of up to 128K tokens.
Use it without hosting anything
On ModelFold you call Nova Micro 1.0 with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Nova Micro 1.0
Up to 128K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Function calling
Nova Micro 1.0 supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
How to Use Nova Micro 1.0 on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Nova Micro 1.0 responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "nova-micro-v1" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Nova Micro 1.0
Low-latency experiences
Power chat interfaces, autocomplete and interactive tools where users expect fast responses.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Writing and content
Draft, edit and translate articles, emails, product copy and documentation in a consistent tone.
Frequently Asked Questions
What is Nova Micro 1.0?⌄
Amazon Nova Micro 1.0 is a text-only model that delivers the lowest-latency responses in the Amazon Nova family at a very low cost.
Which inputs does Nova Micro 1.0 support?⌄
Nova Micro 1.0 accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of Nova Micro 1.0?⌄
Up to 128K tokens, shared between your input and the model’s output.
Does Nova Micro 1.0 support function calling?⌄
Yes. Nova Micro 1.0 supports tools / function calling through the standard tools parameter of the chat completions API.
How is Nova Micro 1.0 billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Nova Micro 1.0 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "nova-micro-v1", using your ModelFold API key as the Bearer token.
| Input | 7 credits 1M tokens≈ $0.04 |
| Output | 28 credits 1M tokens≈ $0.14 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"nova-micro-v1","messages":[{"role":"user","content":"Hello"}]}'



