AlfredPros: CodeLLaMa 7B Instruct Solidity

Public pricingIntelligence 79/100Small memory

AlfredPros: CodeLLaMa 7B Instruct Solidity هو نموذج نصي مخصص لـالبرمجة والعمل التقني. يجمع بين أداء قوي في البرمجة وسياق بحجم 4K tokens وملف متوازن التكلفة لتقديم عمل موثوق في coding, debugging, and technical writing. وهو خيار عملي عندما تكون الجودة والسرعة والتكلفة مهمة، خصوصًا للفرق التي تحتاج إلى مخرجات ثابتة ونشر مرن ومساحة للتوسع.

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.

Alternatives

Similar models to compare.

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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