Aion-RP 1.0 (8B)

API ID: aion-labs/aion-rp-llama-3.1-8b

Input Price
$0.80
/1M tokens
Output Price
$1.60
/1M tokens

About Aion-RP 1.0 (8B)

Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate each other’s responses. It is a fine-tuned base model rather than an instruct model, designed to produce more natural and varied writing.

💰
Price Ranking
#970 lowest price among 1240 Chat models

Model Specifications

Context Length
33k
Max Output
33k
Release Date
2025-02-04
Capabilities
chat
Input Modalities
text
Output Modalities
text

Best For

  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.84
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$26.40
/month
1000 tickets/day, ~800 tokens each

Aion Labs Model Lineup

Compare all models from Aion Labs to find the best fit

Model Input Output Context Capabilities
Aion-RP 1.0 (8B) Current $0.80 $1.60 33k chat
Aion-3.0-Mini $0.70 $1.40 131k chat reasoning tool_use
Aion-2.0 $0.80 $1.60 131k chat reasoning tool_use
Aion-3.0 $3.00 $6.00 131k chat reasoning tool_use

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Mistral Devstral 2 2512
Input: $0.40
Output: $2.00
Context: 262k
Moonshot AI Kimi K2 0905 (exacto)
Input: $0.40
Output: $2.00
Context: 262k
Mistral Mistral Medium 3.1
Input: $0.40
Output: $2.00
Context: 131k
Mistral Devstral Medium
Input: $0.40
Output: $2.00
Context: 131k

🚀 Quick Start

Get started with Aion-RP 1.0 (8B) API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="aion-labs/aion-rp-llama-3.1-8b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)