gemma-3-1b-it: benchmark scores, price and ranking
gemma-3-1b-it from Google DeepMind ranks #707 of 743 LLMs on the LLMs Tiger aggregate benchmark score (42.4), based on 3 benchmark results captured up to 2026-10-13.
- Organisation
- Google DeepMind
- Type
- Open-weight / local model
- Open weights
- Yes
- Released
- 2025-03-12 (source: epoch)
- Aggregate rank
- #707 of 743 (score 42.4)
Relative to other models, gemma-3-1b-it is strongest on Chess Puzzles (#102 of 122) and weakest on GPQA Diamond (#269 of 275).
Across the 3 benchmarks where at least ten models are scored, gemma-3-1b-it is in the top 10% on 0 and in the top half on 0.
gemma-3-1b-it benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Chess Puzzles | 0.0% | #102 of 122 | Epoch AI Benchmarking Hub | 2026-10-13 |
| OTIS Mock AIME | 1.1% | #180 of 189 | Epoch AI Benchmarking Hub | 2026-10-13 |
| GPQA Diamond | 19.9% | #269 of 275 | Epoch AI Benchmarking Hub | 2026-10-13 |
About gemma-3-1b-it
gemma-3-1b-it is an open-weight model that can run on your own hardware from Google DeepMind. It was released on 2025-03-12, according to Epoch AI. No API price is listed for it yet. We hold 3 benchmark results for it across 2 areas, and none is in the top tenth of its board.
Where gemma-3-1b-it stands
On our aggregate score, gemma-3-1b-it is #707 of 743 ranked models, in the lower half. Its score is 42.4; the scale is centred on 50, so it sits 7.6 points below the typical model. That beats 5% of the ranked field. Among the 41 ranked Google DeepMind models it is #36. The next one up is Gemini 1.5 Flash (May 2024) at 42.6. The next one down is gemini-1.5-flash-8b-001 at 42.0.
gemma-3-1b-it, benchmark by benchmark
Chess Puzzles is a weak spot. gemma-3-1b-it scores 0.0%, #102 of 122, behind 83% of the models measured. The leader, GPT-6 Astra (max), reaches 72.0%. It covers chess tactics puzzles. The board median is 12.5%, so gemma-3-1b-it is 12.5 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
OTIS Mock AIME is a weak spot. gemma-3-1b-it scores 1.1%, #180 of 189, behind 95% of the models measured. The leader, Claude Fable 5.1 (max), reaches 100.0%. It covers competition maths (AIME 2024-25 style). The board median is 57.8%, so gemma-3-1b-it is 56.7 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
GPQA Diamond is a weak spot. gemma-3-1b-it scores 19.9%, #269 of 275, behind 97% of the models measured. The leader, GPT-6 Astra (max), reaches 95.8%. It covers expert-level science questions. The board median is 71.7%, so gemma-3-1b-it is 51.8 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Strengths and weaknesses
Reasoning, maths and science: weak, ahead of 3% of the field on average across 2 benchmarks. Its best board here is OTIS Mock AIME (#180 of 189) and its weakest is GPQA Diamond (#269 of 275).
Release history
The Google DeepMind model released before it was gemma-3-12b-it on 2025-03-12, which scores 39.1. The next one was gemma-3-27b-it on 2025-03-12, at 39.7.
Reading these numbers
The 3 scores on this page come from 1 source: Epoch AI Benchmarking Hub (3). No official leaderboard supplied any of them, so treat them as third-party measurements. With 3 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #704 Meta-Llama-3-70B-Instruct (42.5)
- #705 Qwen2-0.5B (42.4)
- #706 Qwen2.5-0.5B (42.4)
- #708 GPT-4o (Nov 2024) (42.3)
- #709 GPT-4o (Aug 2024) (42.2)
- #710 claude-2.0 (42.2)
More from Google DeepMind
- Gemini 3.8 Flash (high) (#26, 54.0)
- Gemini 3.7 Flash (high) (#27, 53.9)
- Gemini 3 Pro Preview (#31, 53.7)
- Gemini 3 Deep Think (#60, 52.6)
- AI co-mathematician (#69, 52.3)
- Gemini 3 Flash (#120, 51.5)
Compare it on the live leaderboard → · How the aggregate score works