Google
Google
Efficient

Gemma 2 2B

Nano

Smallest Gemma 2, runs on a phone or laptop. Strong tiny-model baseline.

Gemma 2 2B is a efficient AI model from Google. It costs $0.020 per million input tokens and $0.020 per million output tokens (blended $0.020/M), with a 8,000-token context window.

INPUT
$0.020/M
per million input tokens
OUTPUT
$0.020/M
per million output tokens
BLENDED 70/30
$0.020/M
unchanged since 3 May
CONTEXT
8,000
tokens
What it is good at
  • Edge / mobile capable
  • Open weights
  • 2B params
Typical use cases
  • On-device assistants
  • Edge inference

Benchmarks

vs. best public score
MMLU51%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH25%
High-school competition math problems.
Python function synthesis from docstrings.
LMArena Elo1126 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 Gemma 2 2B cost?

Gemma 2 2B costs $0.020 per million input tokens and $0.020 per million output tokens, for a blended reference rate of $0.020 per million tokens.

What is Gemma 2 2B's context window?

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

What is Gemma 2 2B best for?

Gemma 2 2B is well suited to Edge / mobile capable, Open weights and 2B params.

Who makes Gemma 2 2B?

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

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