CodeLlama 34B

Released
2023-08-24
Last refreshed
2026-10-07
Status
Researched 191d ago
Open weightsCommercial use: restrictedClassificationJSON / Tool use
AI at Meta releases · 11 in the last 12 monthsChangelog →
Specifications
Released
2023-08-24
Context
100K
Parameters
34B
Architecture
Decoder Only
Knowledge cutoff
2024-03
Specialization
general
Openness
Open weights
License
Llama 2 CommunityRestricted
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
$0.800
Input / 1M
$0.800

Cheapest of 5 routes · Together AI

About

CodeLlama 34B is a powerful generative text model developed by Meta, specifically tailored for code synthesis and understanding. With 34 billion parameters, it excels in code completion, infilling, and instruction following, particularly for Python programming. The model utilizes an auto-regressive transformer architecture and has been trained on a diverse dataset of programming languages, making it versatile for various coding tasks. Designed for both commercial and research applications, CodeLlama 34B offers AI engineers a robust tool for integrating advanced code generation capabilities into their projects. More details can be found on the model's Hugging Face page .

Providers(5)

Compare all 5

Compare API pricing across 5 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Together AI$0.800$0.800
Serverless
Fireworks AI$0.900$0.900
Provisioned
Replicate API$0.200$1.00
Serverless
Microsoft Foundry$1.54$1.77
Provisioned
IBM watsonx$1.80$1.80
Serverless

Deprecated provider routes(1)

ProviderStatusCatalog ID
DeepInfra
Deprecated
—

Available via routers & gateways(6)

Capabilities

Structured Outputs

Benchmark peer barsfor Classification

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
68.95-shotObserved 2026-03-07—

Migration checks

No linked migration route is available for this model yet.