lfm2-8b-a1b

completions

byopenrouter

lfm2-8b-a1b

completions

Published by: liquidProvider:

openrouter

Model created via inbox interface

Released

Oct 7, 2025

Knowledge

Apr 10, 2025

Context

32768

Input

$0.05 / 1M tokens

Output

$0.1 / 1M tokens

Accepts: text

Returns: text

Released Oct 7, 2025Knowledge Cutoff: Apr 10, 2025

Context: 32768 Input: $0.05 / 1M tokensOutput: $0.1 / 1M tokensAccepts: textReturns: text

Access lfm2-8b-a1b through LangDB AI Gateway

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Benchmark Results for lfm2-8b-a1b

Category Performance Scores:

Academia: Score 25.90 (Top 83% - Rank #294)
Finance: Score 21.35 (Top 76% - Rank #270)
Marketing: Score 23.98 (Top 95% - Rank #337)
Maths: Score 25.30 (Top 65% - Rank #231)
Programming: Score 7.30 (Top 98% - Rank #347)
Science: Score 37.38 (Top 88% - Rank #312)
Writing: Score 24.85 (Top 96% - Rank #340)

Overall Performance: 23.722619047619045 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AA Coding Index	7.30	Top 98%	Programming
AAII	17.40	Top 83%	General
AA Math Index	25.30	Top 65%	Mathematics
GPQA	34.40	Top 89%	STEM (Physics, Chemistry, Biology)
HLE	4.90	Top 47%	General Knowledge
LiveCodeBench	15.10	Top 84%	Programming
MMLU-Pro	50.50	Top 89%	General Knowledge
SciCode	6.80	Top 95%	Scientific

GPQA Score: 34.40 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 32768 tokens

Comparing against 354 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

AA Coding Index

7.3

Programming

AAII

17.4

General

AA Math Index

25.3

Mathematics

GPQA

34.4

STEM (Physics, Chemistry, Biology)

HLE

4.9

General Knowledge

LiveCodeBench

15.1

Programming

MMLU-Pro

50.5

General Knowledge

SciCode

6.8

Scientific

Metric	AA Coding Index	AAII	AA Math Index	GPQA	HLE	LiveCodeBench	MMLU-Pro	SciCode
Score	7.3	17.4	25.3	34.4	4.9	15.1	50.5	6.8

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Code Examples

Integration samples and API usage

Code Samples for lfm2-8b-a1b

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="lfm2-8b-a1b",
    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: "lfm2-8b-a1b",
    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": "lfm2-8b-a1b",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: lfm2-8b-a1b

Provider: openrouter

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

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lfm2-8b-a1b by openrouter - AI Model Details, Pricing, and Performance Metrics

lfm2-8b-a1b

lfm2-8b-a1b

Access lfm2-8b-a1b through LangDB AI Gateway

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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