Anyscale
Anyscale
Efficient

CodeLlama 70B (Anyscale)

Code

Code-tuned Llama 2 at 70B. Largely superseded by Qwen2.5-Coder and DeepSeek-Coder, but still hosted for legacy code workflows.

CodeLlama 70B (Anyscale) is a efficient AI model from Anyscale. It costs $1.000 per million input tokens and $1.000 per million output tokens (blended $1.000/M), with a 16,000-token context window.

Profile inherited from upstream CodeLlama 70B ↗ — this is a hosted variant of the same open-weights model.

INPUT
$1.000/M
per million input tokens
OUTPUT
$1.000/M
per million output tokens
BLENDED 70/30
$1.000/M
unchanged since 3 May
CONTEXT
16,000
tokens
What it is good at
  • Open weights
  • Code-tuned
  • Wide ecosystem
Typical use cases
  • Legacy code-completion backends

Benchmarks

vs. best public score
Scores inherited from CodeLlama 70B — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
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 CodeLlama 70B (Anyscale) cost?

CodeLlama 70B (Anyscale) costs $1.000 per million input tokens and $1.000 per million output tokens, for a blended reference rate of $1.000 per million tokens.

What is CodeLlama 70B (Anyscale)'s context window?

CodeLlama 70B (Anyscale) supports up to 16,000 tokens of context in a single request.

What is CodeLlama 70B (Anyscale) best for?

CodeLlama 70B (Anyscale) is well suited to Open weights, Code-tuned and Wide ecosystem.

Who makes CodeLlama 70B (Anyscale)?

CodeLlama 70B (Anyscale) is developed and served by Anyscale. It was released in Jan 2024.

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