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:

Maths: Score 25.30 (Top 69% - Rank #223)
Finance: Score 21.35 (Top 78% - Rank #252)
Science: Score 37.38 (Top 92% - Rank #297)
Writing: Score 24.85 (Top 96% - Rank #310)
Academia: Score 25.90 (Top 86% - Rank #277)
Marketing: Score 23.98 (Top 96% - Rank #310)
Programming: Score 7.30 (Top 98% - Rank #316)

Overall Performance: 23.722619047619048 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	4.90	Top 52%	General Knowledge
GPQA	34.40	Top 91%	STEM (Physics, Chemistry, Biology)
SciCode	6.80	Top 95%	Scientific
MMLU-Pro	50.50	Top 92%	General Knowledge
LiveCodeBench	15.10	Top 87%	Programming
AA Math Index	25.30	Top 69%	Mathematics
AA Coding Index	7.30	Top 98%	Programming
AAII	17.40	Top 85%	General

GPQA Score: 34.40 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 32768 tokens

Comparing against 322 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

HLE

4.9

General Knowledge

GPQA

34.4

STEM (Physics, Chemistry, Biology)

SciCode

6.8

Scientific

MMLU-Pro

50.5

General Knowledge

LiveCodeBench

15.1

Programming

AA Math Index

25.3

Mathematics

AA Coding Index

7.3

Programming

AAII

17.4

General

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

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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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