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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DBRX Instruct (Together)

Enterprise

Databricks' open-weights MoE — 132B total / 36B active. Tuned for instruction following on Databricks Mosaic AI.

DBRX Instruct (Together) is a frontier AI model from Together AI. It costs $1.200 per million input tokens and $1.200 per million output tokens (blended $1.200/M), with a 32K-token context window.

Profile inherited from upstream DBRX Instruct ↗ — this is a hosted variant of the same open-weights model.

Released Mar 2024Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Compare with another model →Estimate monthly cost →
INPUT
$1.200/M
per million input tokens
OUTPUT
$1.200/M
per million output tokens
BLENDED 70/30
$1.200/M
default reference rate · how it's calculated →
CONTEXT
32K
32,000 tokens
What it's good at
  • Open-weights MoE
  • Tight Databricks integration
  • 32K context
Typical use cases
  • Databricks-native chat
  • Self-hosted MoE research
Benchmarks
vs. best public score
Scores inherited from DBRX Instruct — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU74%
Multitask academic knowledge across 57 subjects.
MATH36%
High-school competition math problems.
HumanEval70%
Python function synthesis from docstrings.
LMArena Elo1103 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.
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Frequently asked questions

How much does DBRX Instruct (Together) cost?

DBRX Instruct (Together) costs $1.200 per million input tokens and $1.200 per million output tokens, for a blended reference rate of $1.200 per million tokens.

What is DBRX Instruct (Together)'s context window?

DBRX Instruct (Together) supports up to 32K tokens of context (32,000 tokens).

What is DBRX Instruct (Together) best for?

DBRX Instruct (Together) is well suited to Open-weights MoE, Tight Databricks integration and 32K context.

Who makes DBRX Instruct (Together)?

DBRX Instruct (Together) is developed and served by Together AI. It was released in Mar 2024.