LLM Reference

CodeLlama 70B Instruct

Released
2024-01-29
Last refreshed
2026-07-09
Status
Researched 253d ago
Open weightsCommercial use: conditional

CodeLlama 70B 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
2024-01-29
Context
16k
Parameters
70B
Architecture
Decoder Only
Knowledge cutoff
2022-09
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 70B Instruct is a large-scale generative text model with 70 billion parameters, specifically designed for code synthesis and understanding tasks. Fine-tuned to follow user instructions effectively, it excels in interactive coding environments, supporting tasks such as code completion, infilling, and explanation. The model is optimized for efficient processing and is suitable for both commercial and research applications in English and various programming languages. While it offers advanced capabilities for AI-assisted coding, it's important to note that it doesn't support long contexts of up to 100k tokens, which may limit its use with extensive codebases.

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.