Claude Fable 5$22.000/MClaude Opus 5$11.000/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-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/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/MClaude Fable 5$22.000/MClaude Opus 5$11.000/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-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/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/M
Databricks
Databricks
Efficient

Llama 3.1 70B (DB)

Managed

Llama 3.1 70B hosted on Databricks Mosaic AI. Behaves identically to upstream Llama; the value-add is integration with Databricks data + governance.

Llama 3.1 70B (DB) is a efficient AI model from Databricks. It costs $1.000 per million input tokens and $3.000 per million output tokens (blended $1.600/M), with a 128,000-token context window.

INPUT
$1.000/M
per million input tokens
OUTPUT
$3.000/M
per million output tokens
BLENDED 70/30
$1.600/M
unchanged since 3 May
CONTEXT
128,000
tokens
What it is good at
  • Llama 3.1 70B quality
  • Databricks data + governance
  • Unity Catalog integration
Typical use cases
  • Databricks-native RAG
  • Governed enterprise chat

Benchmarks

vs. best public score
Scores inherited from Llama 3.1 70B — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU83%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH68%
High-school competition math problems.
Python function synthesis from docstrings.
LMArena Elo1248 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

More from Databricks

See all 3

Frequently asked questions

How much does Llama 3.1 70B (DB) cost?

Llama 3.1 70B (DB) costs $1.000 per million input tokens and $3.000 per million output tokens, for a blended reference rate of $1.600 per million tokens.

What is Llama 3.1 70B (DB)'s context window?

Llama 3.1 70B (DB) supports up to 128,000 tokens of context in a single request.

What is Llama 3.1 70B (DB) best for?

Llama 3.1 70B (DB) is well suited to Llama 3.1 70B quality, Databricks data + governance and Unity Catalog integration.

Who makes Llama 3.1 70B (DB)?

Llama 3.1 70B (DB) is developed and served by Databricks.

Terms used on this page