CodeLlama 70B Instruct on OctoML (Deprecated)

Code Llama · AI at Meta

Deprecated
Open Weights

Last refreshed 2026-10-18. Next refresh: weekly.

Why use CodeLlama 70B Instruct on OctoML (Deprecated)?

OctoML (Deprecated) offers CodeLlama 70B Instruct with pay-as-you-go pricing at $0.40/1M input tokens. OctoML is an optimized inference platform for foundation models, offering serverless and dedicated deployment with performance tuning for production AI workloads.

Compare CodeLlama 70B Instruct across 2 providers to find the best fit for your use case
Input / 1M
$0.40
Output / 1M
$0.60
Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: codellama-70b-instruct
Model ID
codellama-70b-instruct

Request example

Curated snippets for this provider are not sourced yet. Use OctoML (Deprecated) documentation with model ID codellama-70b-instruct.

Gotchas

No curated gotchas have been sourced for this exact provider/model route yet.

Compare CodeLlama 70B Instruct Across Providers

ProviderInput (per 1M)Output (per 1M)
OctoML (Deprecated)$0.40$0.60
Fireworks AI$0.90$0.90

Pricing

TypePrice (per 1M)
Input tokens$0.40
Output tokens$0.60

Capabilities

No model capability flags are currently sourced.

About CodeLlama 70B Instruct

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.

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Model Specs

Released2024-01-29
Parameters70B
Context16K
ArchitectureDecoder Only
Knowledge cutoff2022-09