LLM Reference

Phind CodeLlama 34B Python V1

Released
2023-08-24
Last refreshed
2026-05-19
Status
Researched 16d ago
Open Source

Phind CodeLlama 34B Python V1 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 8k 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
2023-08-24
Context
8k
Parameters
34B
Architecture
Decoder Only
Knowledge cutoff
2024-03
Specialization
general
Training
finetuned
Created by

Instant AI code search and answers

San Francisco, California, United States
Founded 2022
Website
Pricing
Output / 1M
$0.900
Input / 1M
$0.900

Cheapest of 1 route · Fireworks AI

About

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

Phind CodeLlama 34B Python V1 is an open-source model in the Phind CodeLlama family. The structured metadata tracks a 8k-token context window. This page tracks provider routes through Fireworks AI, with the cheapest tracked route listed at $0.9 input and $0.9 output per 1M tokens. No headline benchmark score is tracked for Phind CodeLlama 34B Python V1 yet.

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
Provisioned

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.

Rankings & picks(6)