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Phind-CodeLlama-34B (DI)

Code

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

Phind-CodeLlama-34B (DI) is a efficient AI model from DeepInfra. It costs $0.600 per million input tokens and $0.600 per million output tokens (blended $0.600/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
$0.600/M
per million input tokens
OUTPUT
$0.600/M
per million output tokens
BLENDED 70/30
$0.600/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.

More from DeepInfra

See all 11 →
Llama 3.3 70B (DI)
Serverless · 128,000 ctx
in $0.230/Mout $0.400/M
Llama 3.1 405B (DI)
Serverless · 128,000 ctx
in $0.800/Mout $0.800/M
Llama 3.1 70B (DI)
Balanced · 128,000 ctx
in $0.350/Mout $0.400/M
Mistral 7B (DI)
Nano · 32,000 ctx
in $0.070/Mout $0.070/M
Mixtral 8x7B (DI)
MoE · 32,000 ctx
in $0.240/Mout $0.240/M
DeepSeek-R1 (DI)
Reasoning · 64,000 ctx
in $0.550/Mout $2.190/M

Frequently asked questions

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

Phind-CodeLlama-34B (DI) costs $0.600 per million input tokens and $0.600 per million output tokens, for a blended reference rate of $0.600 per million tokens.

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

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

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

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

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

Phind-CodeLlama-34B (DI) is developed and served by DeepInfra. It was released in Aug 2023.

Terms used on this page

Full glossary →
TokenInput tokensOutput tokensPrice per million tokensContext windowPrompt cachingBatch APIBlended cost