nova-micro-v1

completions

byopenrouter

nova-micro-v1

completions

Published by: amazonProvider:

openrouter

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 of 128K tokens and optimized for speed and cost, Amazon Nova Micro excels at tasks such as text summarization, translation, content classification, interactive chat, and brainstorming. It has simple mathematical reasoning and coding abilities.

Released

Nov 20, 2024

Knowledge

May 24, 2024

License

Proprietary

Context

128K

Input

$0.04 / 1M tokens

Output

$0.14 / 1M tokens

Capabilities: tools

Accepts: text

Returns: text

Released Nov 20, 2024Knowledge Cutoff: May 24, 2024License: Proprietary

Context: 128K Input: $0.04 / 1M tokensOutput: $0.14 / 1M tokensCapabilities: toolsAccepts: textReturns: text

Access nova-micro-v1 through LangDB AI Gateway

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99.9% Uptime

10,000+Monthly Requests

Benchmark Results for nova-micro-v1

Category Performance Scores:

Academia: Score 27.60 (Top 75% - Rank #243)
Finance: Score 28.25 (Top 70% - Rank #227)
Marketing: Score 38.90 (Top 35% - Rank #114)
Maths: Score 39.20 (Top 71% - Rank #231)
Programming: Score 11.70 (Top 87% - Rank #282)
Science: Score 37.90 (Top 80% - Rank #260)
Writing: Score 29.17 (Top 36% - Rank #117)

Overall Performance: 30.38785714285714 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AIME	8.00	Top 70%	Mathematics
AA Coding Index	11.70	Top 87%	Programming
AAII	17.30	Top 75%	General
AA Math Index	39.20	Top 71%	Mathematics
DROP	79.30	Top 77%	General Knowledge
GPQA	37.90	Top 80%	STEM (Physics, Chemistry, Biology)
HLE	4.70	Top 41%	General Knowledge
HumanEval	81.10	Top 71%	Programming
LiveCodeBench	14.00	Top 83%	Programming
MATH-500	70.30	Top 66%	Mathematics
MMLU	77.60	Top 77%	General Knowledge
MMLU-Pro	53.10	Top 79%	General Knowledge
SciCode	9.40	Top 89%	Scientific

MMLU Score: 77.60 - Massive Multitask Language Understanding benchmark

HumanEval Score: 81.10 - Coding capability benchmark

GPQA Score: 37.90 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 128000 tokens

Comparing against 324 models in the database

Performance Analytics for nova-micro-v1

Usage Statistics (Last 3 Days):

Total Requests: 11 API calls
Average TPS: 1502.12 tokens per second
Average Response Time: 2630.00ms
Average Time to First Token: 1446.90ms
Total Cost: $0.00
Average Request Cost: $0.0002

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/5/2025	1	3104.88	3746.00ms	3342.80ms	$0.00
9/7/2025	3	1234.21	3124.00ms	1879.20ms	$0.00
9/10/2025	7	1281.21	2258.90ms	990.80ms	$0.00

Performance Summary:

Model: nova-micro-v1 by openrouter

Monitoring Period: 9/4/2025 to 9/11/2025

Average Daily Requests: 4

Peak Daily Requests: 7

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

1502.12 tokens/s

Category Scores

Benchmark Tests

View Other Benchmarks

AIME

8.0

Mathematics

AA Coding Index

11.7

Programming

AAII

17.3

General

AA Math Index

39.2

Mathematics

DROP

79.3

General Knowledge

GPQA

37.9

STEM (Physics, Chemistry, Biology)

HLE

4.7

General Knowledge

HumanEval

81.1

Programming

LiveCodeBench

14.0

Programming

MATH-500

70.3

Mathematics

MMLU

77.6

General Knowledge

MMLU-Pro

53.1

General Knowledge

SciCode

9.4

Scientific

Metric	AIME	AA Coding Index	AAII	AA Math Index	DROP	GPQA	HLE	HumanEval	LiveCodeBench	MATH-500	MMLU	MMLU-Pro	SciCode
Score	8.0	11.7	17.3	39.2	79.3	37.9	4.7	81.1	14.0	70.3	77.6	53.1	9.4

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Code Examples

Integration samples and API usage

Code Samples for nova-micro-v1

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="nova-micro-v1",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

print(response.choices[0].message.content)

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "nova-micro-v1",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

console.log(response.choices[0].message.content);

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai/projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nova-micro-v1",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: nova-micro-v1

Provider: openrouter

API Endpoint: $https://api.us-east-1.langdb.ai

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Access nova-micro-v1 through LangDB AI Gateway

Statistics

Category Scores

Benchmark Tests

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Code Examples

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