Phind CodeLlama 34B V1 on Fireworks AI

Phind CodeLlama · Phind

ProvisionedOpen Weights

Last refreshed 2026-05-19. Next refresh: weekly.

Why use Phind CodeLlama 34B V1 on Fireworks AI?

Fireworks AI offers Phind CodeLlama 34B V1 with pay-as-you-go pricing at $0.90/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.

Input / 1M
$0.90
Output / 1M
$0.90
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export FIREWORKS_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
Model ID
accounts/fireworks/models/phind-code-llama-34b-v1

Request example

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
    base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
    model="accounts/fireworks/models/phind-code-llama-34b-v1",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "accounts/fireworks/models/phind-code-llama-34b-v1", not the LLMReference slug "phind-codellama-34b-v1".
  • Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
  • The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.

Pricing

TypePrice (per 1M)
Input tokens$0.90
Output tokens$0.90

Capabilities

No model capability flags are currently sourced.

About Phind CodeLlama 34B V1

Phind CodeLlama 34B V1 is Phind's Phind CodeLlama model. It offers an 8K-token context window with weights openly available for self-hosting.

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Model Specs

Released2023-08-24
Parameters34B
Context8k
ArchitectureDecoder Only
Knowledge cutoff2024-03