Google
Google
Efficient

Gemma 2 9B

Open

Mid-size Gemma 2, popular open model in the 9B class for on-prem chat and fine-tuning.

Gemma 2 9B is a efficient AI model from Google. It costs $0.090 per million input tokens and $0.090 per million output tokens (blended $0.090/M), with a 8,000-token context window.

INPUT
$0.090/M
per million input tokens
OUTPUT
$0.090/M
per million output tokens
BLENDED 70/30
$0.090/M
unchanged since 3 May
CONTEXT
8,000
tokens
What it is good at
  • Single-GPU friendly
  • Open weights
  • Wide ecosystem
Typical use cases
  • On-prem chat
  • Fine-tune base

Benchmarks

vs. best public score
MMLU71%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH45%
High-school competition math problems.
Python function synthesis from docstrings.
LMArena Elo1192 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 Google

See all 24 →

Frequently asked questions

How much does Gemma 2 9B cost?

Gemma 2 9B costs $0.090 per million input tokens and $0.090 per million output tokens, for a blended reference rate of $0.090 per million tokens.

What is Gemma 2 9B's context window?

Gemma 2 9B supports up to 8,000 tokens of context in a single request.

What is Gemma 2 9B best for?

Gemma 2 9B is well suited to Single-GPU friendly, Open weights and Wide ecosystem.

Who makes Gemma 2 9B?

Gemma 2 9B is developed and served by Google. It was released in Jun 2024.

Terms used on this page