Model Cost Profile

AlfredPros: CodeLLaMa 7B Instruct Solidity

Developer: alfredpros

Pricing updated Mar 10, 2026

Input rank: #234Output rank: #184

Live Pricing

Input: $0.8000

Output: $1.20

Pricing via OpenRouter API · Last synced Mar 10, 2026

AlfredPros' CodeLLaMa 7B Instruct Solidity model is designed for developers looking to automate smart contract generation and streamline blockchain application development. With a context window of 4096 tokens, it effectively handles complex queries and multi-turn conversations, making it suitable for both individual developers and larger teams working on decentralized applications. At a competitive pricing structure of $0.80 per million input tokens and $1.20 per million output tokens, teams can efficiently manage costs while leveraging advanced AI capabilities for their projects.

Context Window

4,096

Tokens

Input Price / 1M

$0.8000

Prompt tokens

Output Price / 1M

$1.20

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

AlfredPros: CodeLLaMa 7B Instruct Solidity Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7Mar 10
$0.8000$1.00$1.20Mar 7Mar 8Mar 9Mar 10

Current Input / 1M

$0.8000

Current Output / 1M

$1.20

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FAQ

Common pricing and benchmark questions for AlfredPros: CodeLLaMa 7B Instruct Solidity.

How much does AlfredPros: CodeLLaMa 7B Instruct Solidity cost per 1M input tokens?

AlfredPros: CodeLLaMa 7B Instruct Solidity input pricing is $0.8000 per 1M tokens based on the latest synced provider data.

How much does AlfredPros: CodeLLaMa 7B Instruct Solidity cost per 1M output tokens?

AlfredPros: CodeLLaMa 7B Instruct Solidity output pricing is $1.20 per 1M tokens based on the latest synced provider data.

What context window does AlfredPros: CodeLLaMa 7B Instruct Solidity support?

AlfredPros: CodeLLaMa 7B Instruct Solidity supports a context window of 4,096 tokens.

How can I compare AlfredPros: CodeLLaMa 7B Instruct Solidity with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.