CodeLLaMa 7B Instruct Solidity

Other chattool_usecode

API ID: alfredpros/codellama-7b-instruct-solidity

Input Price
$0.80
/1M tokens
Output Price
$1.20
/1M tokens

About CodeLLaMa 7B Instruct Solidity

CodeLlama 7B Instruct Solidity is a specialized model for Solidity smart contract development. The model excels at generating and analyzing Ethereum smart contracts. It demonstrates focused capability for blockchain development. For developers building Web3 applications, this model offers specialized Solidity coding assistance.

๐Ÿ’ฐ
Price Ranking
#796 lowest price among 950 Chat models

Model Specifications

Context Length
4k
Max Output
4k
Release Date
2025-04-14
Capabilities
chat tool_use code
Input Modalities
text
Output Modalities
text

Best For

  • Code generation, debugging, code review, refactoring
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.72
/month
50 conversations/day, ~500 tokens each
Code Copilot
$6.72
/month
200 completions/day, ~1k tokens each
Customer Service Bot
$22.80
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$32.40
/month
500 analyses/day, ~2k tokens each

Other Model Lineup

Compare all models from Other to find the best fit

Model Input Output Context Capabilities
CodeLLaMa 7B Instruct Solidity Current Free Free 4k chat tool_use code
Riverflow V2 Max Preview Free Free 8k chat vision image_gen
Riverflow V2 Standard Preview Free Free 8k chat vision image_gen
Riverflow V2 Fast Preview Free Free 8k chat vision image_gen
AFM 4.5B Free Free 66k chat
AFM 4.5B Free Free 66k chat

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๐Ÿš€ Quick Start

Get started with CodeLLaMa 7B Instruct Solidity 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="alfredpros/codellama-7b-instruct-solidity",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)