AlfredPros: CodeLLaMa 7B Instruct Solidity

Public pricingIntelligence 79/100Small memory

AlfredPros: CodeLLaMa 7B Instruct Solidity ist ein Text-Modell für Programmierung, Debugging und technische Arbeit. Es verbindet starke Coding-Leistung, einen Kontext von 4K tokens und ein ausgewogen-Profil für zuverlässige Arbeit über coding, debugging, and technical writing.

Input

$0.80/1M

Output

$1.20/1M

Cached

$0.08/1M

Batch

$0.40/1M

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What would CodeLLaMa 7B Instruct Solidity cost you?

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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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