Gemma 7B: benchmark scores, price and ranking
Gemma 7B from Google DeepMind is a recent or sparsely tested model with 1 benchmark result on record; it has not been measured on enough benchmarks shared with other models to receive an aggregate rank. This page lists every score we have, based on 1 benchmark results captured up to 2026-10-14.
- Organisation
- Google DeepMind
- Type
- Open-weight / local model
- Open weights
- Yes
- Released
- 2024-02-21 (source: epoch)
- Aggregate rank
- Not ranked yet (too few shared benchmarks)
Across the 1 benchmark where at least ten models are scored, Gemma 7B is in the top 10% on 0 and in the top half on 0.
Gemma 7B benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Epoch ECI | 112 | #155 of 204 | Epoch AI Benchmarking Hub | 2026-10-14 |
About Gemma 7B
Gemma 7B is an open-weight model that can run on your own hardware from Google DeepMind. It was released on 2024-02-21, according to Epoch AI. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where Gemma 7B stands
Gemma 7B has 1 result so far and shares too few benchmarks with other models to get an aggregate rank. The rank will appear on its own once more scores are published.
Gemma 7B, benchmark by benchmark
Gemma 7B lands below the middle on Epoch ECI: 112, #155 of 204, with 75% of the field scoring higher. Qwen 3.8 Max leads at 156; the closest result above is internlm-20b at 112. It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so Gemma 7B is 15 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-14.
Release history
The Google DeepMind model released before it was gemini-1.5-pro-001-feb24 on 2024-02-15, which scores 48.1. The next one was gemini-1.5-pro-001 on 2024-05-14, at 44.0.
Reading these numbers
The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
More from Google DeepMind
- Gemini 3.8 Flash (high) (#26, 54.0)
- Gemini 3.7 Flash (high) (#27, 53.9)
- Gemini 3 Pro Preview (#32, 53.7)
- Gemini 3 Deep Think (#60, 52.6)
- AI co-mathematician (#69, 52.3)
- Gemini 3 Flash (#119, 51.5)
Compare it on the live leaderboard → · How the aggregate score works