LLM Reference

CodeLlama 34B Instruct

Released
2023-08-24
Last refreshed
2026-07-09
Status
Researched 253d ago
Open weightsCommercial use: conditional

CodeLlama 34B Instruct is worth evaluating for general LLM work when its provider route and context window match the workload.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 16k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2023-08-24
Context
16k
Parameters
34B
Architecture
Decoder Only
Knowledge cutoff
2024-03
Specialization
general
Openness
Open weights
License
Llama 2 CommunityCommercial use: conditional
Weights
Available
Code
Unknown
Training
Fine-tuned
Created by

Large-scale open-source AI for social technologies.

Menlo Park, California, United States
Founded 2013
Website
Pricing
Output / 1M
$0.900
Input / 1M
$0.900

Cheapest of 1 route · Fireworks AI

About

CodeLlama 34B Instruct is a powerful generative text model developed by Meta, specifically designed for code synthesis and understanding tasks. With 34 billion parameters, it excels in code completion, infilling, and instruction following, making it ideal for AI engineers working on coding assistants and automated code generation tools. While supporting multiple languages, it has a particular focus on Python. Trained between January and July 2023 on a dataset similar to Llama 2, this model offers state-of-the-art performance for commercial and research applications in code-related tasks. For more details, visit the model's page on Hugging Face .

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Fireworks AI$0.900$0.900
Serverless

Available via routers & gateways(1)

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.