Gemini 1.5 Pro: benchmark scores, price and ranking

Gemini 1.5 Pro from Google ranks #427 of 743 LLMs on the LLMs Tiger aggregate benchmark score (47.5), based on 1 benchmark results captured up to 2026-10-13.

Organisation
Google
Type
Frontier model
Open weights
No
Released
2024-02-15 (source: curated)
Aggregate rank
#427 of 743 (score 47.5)

Across the 1 benchmark where at least ten models are scored, Gemini 1.5 Pro is in the top 10% on 0 and in the top half on 0.

Gemini 1.5 Pro benchmark results

Gemini 1.5 Pro benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
ARC-AGI-20.8%#74 of 87ARC Prize official leaderboard2026-10-13

About Gemini 1.5 Pro

Gemini 1.5 Pro is a frontier model from Google. It was released on 2024-02-15, according to the developer's announcement. 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 stands

On our aggregate score, Gemini 1.5 Pro is #427 of 743 ranked models, around the middle of the table. Its score is 47.5; the scale is centred on 50, so it sits 2.5 points below the typical model. That beats 43% of the ranked field. Among the 29 ranked Google models it is #24. The next one up is Gemini 2.5 Flash (Preview) (Thinking 24K) at 47.6. The next one down is gemini-1.5-flash-latest at 47.4.

Gemini 1.5 Pro, benchmark by benchmark

ARC-AGI-2 is a weak spot. Gemini 1.5 Pro scores 0.8%, #74 of 87, behind 84% of the models measured. The leader, GPT-6 Astra (max), reaches 95.0%. It covers abstract reasoning, ARC Prize public eval set. The board median is 22.8%, so Gemini 1.5 Pro is 22.0 points below it. Source: ARC Prize official leaderboard, captured 2026-10-13.

Release history

The next one was gemini/gemini-1.5-pro-latest on 2024-02-15, at 49.4.

Reading these numbers

The 1 score on this page comes from 1 source: ARC Prize official leaderboard (1). 1 of them come from an official leaderboard and 0 from datasets or third-party runs. With 1 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

More from Google

Compare it on the live leaderboard → · How the aggregate score works