Nova Micro 1.0 API128K context
Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost.
Pricing & specs mirror our live pricing as of July 2026 (pay-as-you-go).
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 of models at a very low cost. With a context length...
Nova Micro 1.0 on the release timeline
Nova Micro 1.0 pricing
Pay-as-you-go on DataLLM Lab — these are our live list prices (identical to the pricing page):
| Model | Input / 1M | Output / 1M | Cache read | Cache write | Context |
|---|---|---|---|---|---|
| Nova Micro 1.0 | $0.04 | $0.14 | — | — | 128K |
On output price, Nova Micro 1.0 is cheaper than 94% of the 309 models in the catalog. It is served by 2 providers; the best combined rate at our last snapshot was ≈ $0.04 / $0.14 per 1M via Amazon Bedrock.
What Nova Micro 1.0 costs per month
| Workload | Tokens in / out (monthly) | Est. cost |
|---|---|---|
| Support chatbot | 40M / 12M | $3.08 |
| RAG / knowledge base | 200M / 20M | $9.80 |
| Coding agent | 80M / 25M | $6.30 |
| Batch extraction | 150M / 8M | $6.37 |
| Content generation | 20M / 40M | $6.30 |
Estimate your own monthly cost
Cost = input price × input volume + output price × output volume. The same five workloads run on every model page, so any two compare directly.
Nova Micro 1.0 vs alternatives
| Model | Input / 1M | Output / 1M | Context | Our test |
|---|---|---|---|---|
| Nova Micro 1.0 | $0.04 | $0.14 | 128K | — |
| Nova Lite 1.0 | $0.06 | $0.24 | 300K | — |
| Nova 2 Lite | $0.30 | $2.50 | 1M | — |
| Nova Pro 1.0 | $0.80 | $3.20 | 300K | — |
| Llama 3 8B Instruct | $0.14 | $0.14 | 8K | — |
| Phi 4 | $0.07 | $0.14 | 16K | — |
Specs
| Model ID | amazon/nova-micro-v1 |
| Modality | text->text (input: text) |
| Context window | 128,000 tokens |
| Max output | 5,120 tokens |
| Tool / function calling | ✅ Yes |
| Structured output (JSON) | — |
| Released | 2024-12-05 |
| Knowledge cutoff | 2024-10-31 |
| Open weights | — (hosted API only) |
How to call Nova Micro 1.0
from openai import OpenAI
client = OpenAI(base_url="https://api.datallmlab.com/v1", api_key="YOUR_DATALLM_LAB_KEY")
resp = client.chat.completions.create(
model="amazon/nova-micro-v1",
messages=[{"role": "user", "content": "Hello"}],
# supports tools=[...] and tool_choice
)
print(resp.choices[0].message.content)curl https://api.datallmlab.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"amazon/nova-micro-v1","messages":[{"role":"user","content":"Hello"}]}'import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.datallmlab.com/v1", apiKey: process.env.DATALLM_KEY });
const r = await client.chat.completions.create({
model: "amazon/nova-micro-v1",
messages: [{ role: "user", content: "Hello" }],
});
console.log(r.choices[0].message.content);The same key routes Nova Micro 1.0 and 300+ other models — switch models by changing one string. How OpenAI-compatible APIs work.
Prompting tips for Nova Micro 1.0
- Be explicit and show the shape of the answer. Spell out format, tone and constraints up front, and include one short example of the output you want — Nova Micro 1.0 follows concrete instructions better than abstract ones.
- Give it real tools. Pass a
tools=[...]schema instead of asking it to "pretend" — let Nova Micro 1.0 emit tool calls, execute them, and feed results back for the next turn. - Cheap enough to batch. Great for high-volume classification, extraction and drafting — template the prompt, batch requests, and validate outputs programmatically.
Tips are derived from Nova Micro 1.0's actual capabilities — context window, tool & JSON support, modality and price tier — not generic advice.
Open-source tools for Nova Micro 1.0
Popular open-source frameworks and agents to build with Nova Micro 1.0 over the API — star counts pulled from GitHub (July 2026).
Listed by GitHub stars; inclusion is by ecosystem relevance (agent frameworks, SDKs and gateways), not affiliation. Stars change — see each repo for current numbers.
Migrating to Nova Micro 1.0
Coming from OpenAI or another gateway? On an OpenAI-compatible setup the only changes are base_url → https://api.datallmlab.com/v1 and model → amazon/nova-micro-v1. Messages, streaming, tool calls and the rest of your code stay the same. Routing & failover guide.
Rate limits & reliability
Rate limits here are the DataLLM Lab gateway's, not the upstream vendor's. On 429 (rate limited) or 503 (provider busy), retry with exponential backoff; because Nova Micro 1.0 is served by 2 providers, requests can fail over to a healthy one automatically. See the error-code guide and failover setup.
Related reading
Call Nova Micro 1.0 with one key
300+ models behind one OpenAI-compatible endpoint — better prices, better uptime, no subscriptions.
Get an API keyCompare pricingFrequently 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 of models at a very low cost. It accepts text input with a 128K-token context window and was released on 2024-12-05. On DataLLM Lab it is callable through one OpenAI-compatible endpoint.
How much does Nova Micro 1.0 cost?
On DataLLM Lab it is $0.04 per 1M input tokens and $0.14 per 1M output tokens — cheaper than about 94% of the 309-model catalog on output price. Pay-as-you-go, no subscription.
What is the context window of Nova Micro 1.0?
128K tokens, with up to 5K max output tokens.
Is Nova Micro 1.0 open source?
No open weights are published — it is available through hosted API access only.
How do I call the Nova Micro 1.0 API?
Point any OpenAI SDK at https://api.datallmlab.com/v1 and set model to "amazon/nova-micro-v1". One DataLLM Lab key routes this model and 300+ others; no code changes beyond the base URL and model string.
What are good alternatives to Nova Micro 1.0?
Close options by price and capability include Nova Lite 1.0, Nova 2 Lite, Nova Pro 1.0 — all callable with the same DataLLM Lab key.