AlfredPros: CodeLLaMa 7B Instruct Solidity

Public pricingIntelligence 79/100Small memory

AlfredPros: CodeLLaMa 7B Instruct Solidity एक टेक्स्ट मॉडल है, जिसे कोडिंग, डिबगिंग और तकनीकी कार्य के लिए बनाया गया है। यह मजबूत coding प्रदर्शन, 4K tokens का context और संतुलित लागत profile जोड़कर coding, debugging, and technical writing में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.80/1M

Output

$1.20/1M

Cached

$0.08/1M

Batch

$0.40/1M

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Technical specifications

CodeLLaMa 7B Instruct Solidity at a glance.

Memory

4,096

tokens

Max reply

4,096

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

Released

Aug 2024

Training cutoff

Mar 2024

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick CodeLLaMa 7B Instruct Solidity

  • High-volume workloads where unit cost matters.
  • Code generation, review, or refactoring.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.
  • Your inputs routinely exceed short documents.

FAQ

CodeLLaMa 7B Instruct Solidity — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, CodeLLaMa 7B Instruct Solidity costs roughly $108 per month. Input is $0.80 /1M tokens and output is $1.20 /1M tokens.
CodeLLaMa 7B Instruct Solidity has a 4,096-token context window (small memory — a few emails or a short document). That means you can fit about 768 words of input and history in a single call.
CodeLLaMa 7B Instruct Solidity was released in August 2024, with training data cut off around March 2024.
Models in a similar class include Morph V3 Fast, GPT-5.4 Mini, Relace Apply 3. The "Similar models" section below this FAQ links into each.

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