Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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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 16K-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
default reference rate · how it's calculated →
CONTEXT
16K
16,000 tokens
What it's 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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Mistral 7B (DI)
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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 16K tokens of context (16,000 tokens).

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.