gemini-1.5-pro-001-feb24: benchmark scores, price and ranking
gemini-1.5-pro-001-feb24 from Google DeepMind ranks #382 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.1), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Google DeepMind
- Type
- Frontier model
- Open weights
- No
- Released
- 2024-02-15 (source: epoch)
- Aggregate rank
- #382 of 743 (score 48.1)
Across the 1 benchmark where at least ten models are scored, gemini-1.5-pro-001-feb24 is in the top 10% on 0 and in the top half on 0.
gemini-1.5-pro-001-feb24 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Cybench | 7.5% | #13 of 16 | Epoch AI Benchmarking Hub | 2026-10-13 |
About gemini-1.5-pro-001-feb24
gemini-1.5-pro-001-feb24 is a frontier model from Google DeepMind. It was released on 2024-02-15, 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 gemini-1.5-pro-001-feb24 stands
On our aggregate score, gemini-1.5-pro-001-feb24 is #382 of 743 ranked models, around the middle of the table. Its score is 48.1; the scale is centred on 50, so it sits 1.9 points below the typical model. That beats 49% of the ranked field. Among the 41 ranked Google DeepMind models it is #20. The next one up is Gemini 2.5 Flash Preview (Apr 2025) at 48.6. The next one down is Gemma 4 26B A4B at 47.5.
gemini-1.5-pro-001-feb24, benchmark by benchmark
Cybench is a weak spot. gemini-1.5-pro-001-feb24 scores 7.5%, #13 of 16, behind 75% of the models measured. The leader, grok-4-0709, reaches 43.0%. It covers cybersecurity capture-the-flag tasks. The board median is 17.5%, so gemini-1.5-pro-001-feb24 is 10.0 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Release history
The Google DeepMind model released before it was gemini-1.0-pro-001 on 2023-12-13, which scores 41.5. 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.
Models ranked nearby
- #379 kimi-k2.6-thinking (48.2)
- #380 o1 (high) (48.1)
- #381 llama3-70b-8192 (48.1)
- #383 Codex + GPT-5.6 Luna (48.1)
- #384 ERNIE-4.5-21B-A3B-Base-PT (48.1)
- #385 Llama-3.2-11B-Vision-Instruct (48.0)
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