Phind-CodeLlama-34B (fw)

Name: Phind-CodeLlama-34B (fw)
Brand: Fireworks AI
Price: 0.800000 USD

Code

Mid-size CodeLlama. Single-GPU friendly code model from 2023.

Phind-CodeLlama-34B (fw) is a efficient AI model from Fireworks AI. It costs $0.800 per million input tokens and $0.800 per million output tokens (blended $0.800/M), with a 16,000-token context window.

Profile inherited from upstream CodeLlama 34B ↗ — this is a hosted variant of the same open-weights model.

Released Aug 2023Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Compare with another model →Estimate monthly cost →

INPUT

$0.800/M

per million input tokens

OUTPUT

$0.800/M

per million output tokens

BLENDED 70/30

$0.800/M

unchanged since 3 May

default reference rate · how it is calculated →

CONTEXT

16,000

tokens

What it is good at

Open weights
Code-tuned
Single-GPU

Typical use cases

Self-hosted code completion (legacy)

Benchmarks

vs. best public score

Scores inherited from CodeLlama 34B — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.

HumanEval53%

Python function synthesis from docstrings.

Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Phind-CodeLlama-34B (fw) cost?

Phind-CodeLlama-34B (fw) costs $0.800 per million input tokens and $0.800 per million output tokens, for a blended reference rate of $0.800 per million tokens.

What is Phind-CodeLlama-34B (fw)'s context window?

Phind-CodeLlama-34B (fw) supports up to 16,000 tokens of context in a single request.

What is Phind-CodeLlama-34B (fw) best for?

Phind-CodeLlama-34B (fw) is well suited to Open weights, Code-tuned and Single-GPU.

Who makes Phind-CodeLlama-34B (fw)?

Phind-CodeLlama-34B (fw) is developed and served by Fireworks AI. It was released in Aug 2023.

Terms used on this page

Full glossary →

Token Input tokens Output tokens Price per million tokens Context window Prompt caching Batch API Blended cost