Gemini 1.0 Pro: benchmark scores, price and ranking

Gemini 1.0 Pro 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 2026-10-13.

Organisation
Google DeepMind
Type
Frontier model
Open weights
No
Released
2023-12-13 (source: epoch)
Aggregate rank
Not ranked yet (too few shared benchmarks)

Across the 1 benchmark where at least ten models are scored, Gemini 1.0 Pro is in the top 10% on 0 and in the top half on 0.

Gemini 1.0 Pro benchmark results

Gemini 1.0 Pro benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
Epoch ECI117#141 of 204Epoch AI Benchmarking Hub2026-10-13

About Gemini 1.0 Pro

Gemini 1.0 Pro 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 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where Gemini 1.0 Pro stands

Gemini 1.0 Pro 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.

Gemini 1.0 Pro, benchmark by benchmark

Gemini 1.0 Pro lands below the middle on Epoch ECI: 117, #141 of 204, with 69% of the field scoring higher. Qwen 3.8 Max leads at 156; the closest result above is Stable Beluga 2 at 117. It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so Gemini 1.0 Pro is 10 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Release history

The next one was gemini-1.0-pro-001 on 2023-12-13, at 41.5.

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

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