gemma-2-9b-it
Gemma is a family of lightweight, state-of-the-art open models from Google.
text → text · made by Google
$0.03→$0.06per Mtok in / out
DeepInfra · 3 sellers
Sold by 3 ways
| Seller | Lane | Rate |
|---|---|---|
| DeepInfra aggregator | standard | $0.03per Mtok in$0.06per Mtok outapi.deepinfra.com · read 2026-08-25 |
| ElectronHub aggregator | standard | $0.12per Mtok in$0.15per Mtok outapi.electronhub.ai · read 2026-09-16 |
| Fireworks AI aggregator | standard | $0.2per Mtok in$0.2per Mtok outraw.githubusercontent.com · read 2026-09-16 |
Measured 6 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 49thof 54 | Live bench — Epoch AI | Global average | 28.66 |
| 64thof 217 | Mmlu — Epoch AI | EM | 0.721 |
| 89thof 108 | Math level 5 — Epoch AI | mean_score | 21.006 |
| 287thof 290 | OTIS Mock AIME 2024-2025 | mean_score | 0.556 |
| 297thof 313 | GPQA Diamond | mean_score | 27.462 |
| 579thof 656 | Epoch capabilities index — Epoch AI | ECI Score | 119.78 |
About
gemma-2-9b-it — a text model from Google, sold by 3 companies from $0.03 in and $0.06 out per million tokens, placed 64th of 217 on Mmlu — Epoch AI.
It takes text and returns text, with a context window of 8,192 tokens. It was published in June 2024, trained on material up to June 2024. The catalogue files it under reasoning. Three companies sell it. The cheapest is $0.03 in and $0.06 out per million tokens at DeepInfra. It has been measured on 6 boards, and stands best at 64th of 217 on Mmlu — Epoch AI.
Every current figure
- Maker
- Register
- model
- Takes
- text
- Returns
- text
- Context
- 8,192 tokens
- Published
- June 2024
- Knowledge to
- June 2024
- Parameters
- 9 billion · read from its own name
- Licence
- not read
- Sellers
- 3
- Maker's own price
- not read
- Price
- $0.03 in and $0.06 out per million tokens — DeepInfra
- Boards
- 6
- Best place
- 64th of 217 — Mmlu — Epoch AI
Known as 1 name
google/gemma-2-9b-it