gemini-1.0-pro-001: benchmark scores, price and ranking
gemini-1.0-pro-001 from Google DeepMind ranks #723 of 743 LLMs on the LLMs Tiger aggregate benchmark score (41.5), based on 3 benchmark results captured up to 2026-10-13.
- Organisation
- Google DeepMind
- Type
- Frontier model
- Open weights
- No
- Released
- 2023-12-13 (source: epoch)
- Aggregate rank
- #723 of 743 (score 41.5)
Relative to other models, gemini-1.0-pro-001 is strongest on GPQA Diamond (#238 of 275) and weakest on DTBench (#140 of 146).
Across the 3 benchmarks where at least ten models are scored, gemini-1.0-pro-001 is in the top 10% on 0 and in the top half on 0.
gemini-1.0-pro-001 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| GPQA Diamond | 34.0% | #238 of 275 | Epoch AI Benchmarking Hub | 2026-10-13 |
| OTIS Mock AIME | 1.1% | #179 of 189 | Epoch AI Benchmarking Hub | 2026-10-13 |
| DTBench | 45.9% | #140 of 146 | Epoch AI Benchmarking Hub | 2026-10-13 |
About gemini-1.0-pro-001
gemini-1.0-pro-001 is a frontier model from Google DeepMind. It was released on 2023-12-13, 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 gemini-1.0-pro-001 stands
On our aggregate score, gemini-1.0-pro-001 is #723 of 743 ranked models, in the lower half. Its score is 41.5; the scale is centred on 50, so it sits 8.5 points below the typical model. That beats 3% of the ranked field. Among the 41 ranked Google DeepMind models it is #38. The next one up is gemini-1.5-flash-8b-001 at 42.0. The next one down is gemma-3-4b-it at 39.9.
gemini-1.0-pro-001, benchmark by benchmark
GPQA Diamond is a weak spot. gemini-1.0-pro-001 scores 34.0%, #238 of 275, behind 86% 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 gemini-1.0-pro-001 is 37.8 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
OTIS Mock AIME is a weak spot. gemini-1.0-pro-001 scores 1.1%, #179 of 189, behind 94% 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 gemini-1.0-pro-001 is 56.7 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
DTBench is a weak spot. gemini-1.0-pro-001 scores 45.9%, #140 of 146, behind 95% of the models measured. The leader, Claude Opus 5.5 (max), reaches 98.9%. It covers dynamic tool-use benchmark. The board median is 68.8%, so gemini-1.0-pro-001 is 22.9 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Strengths and weaknesses
Reasoning, maths and science: weak, ahead of 9% of the field on average across 2 benchmarks. Its best board here is GPQA Diamond (#238 of 275) and its weakest is OTIS Mock AIME (#179 of 189).
Release history
The next one was gemini-1.5-pro-001-feb24 on 2024-02-15, at 48.1.
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
- #720 claude-3-sonnet-20240229 (41.9)
- #721 Phi-4-mini-instruct (41.8)
- #722 granite-4.0-350m (41.6)
- #724 Claude 3.5 Haiku (Oct 2024) (41.3)
- #725 ministral-3b-2410 (41.3)
- #726 c4ai-command-r-08-2024 (41.3)
More from Google DeepMind
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- Gemini 3 Flash (#120, 51.5)
Compare it on the live leaderboard → · How the aggregate score works