Gemini 2.5 Pro Preview (Mar 2025): benchmark scores, price and ranking

Gemini 2.5 Pro Preview (Mar 2025) from Google DeepMind ranks #154 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.9), based on 2 benchmark results captured up to 2026-10-13.

Organisation
Google DeepMind
Type
Preview release
Open weights
No
Released
2025-03-31 (source: epoch)
Cheapest API price
$1.25 in / $10.00 out per million tokens (via deepinfra, observed 2026-10-13T20:47Z)
Aggregate rank
#154 of 743 (score 50.9)

Across the 2 benchmarks where at least ten models are scored, Gemini 2.5 Pro Preview (Mar 2025) is in the top 10% on 0 and in the top half on 2.

Its cheapest listed input price, $1.25 per million tokens, is lower than that of 26% of the 427 models with a listed price.

Gemini 2.5 Pro Preview (Mar 2025) benchmark results

Gemini 2.5 Pro Preview (Mar 2025) benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
Fiction.liveBench66.7%#16 of 47Epoch AI Benchmarking Hub2026-10-13
SimpleBench51.6%#21 of 61Epoch AI Benchmarking Hub2026-10-13

About Gemini 2.5 Pro Preview (Mar 2025)

Gemini 2.5 Pro Preview (Mar 2025) is a preview release from Google DeepMind. It was released on 2025-03-31, according to Epoch AI. The cheapest API listing we track charges $1.25 per million input tokens and $10.00 per million output tokens, through deepinfra. We hold 2 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where Gemini 2.5 Pro Preview (Mar 2025) stands

On our aggregate score, Gemini 2.5 Pro Preview (Mar 2025) is #154 of 743 ranked models, in the top quarter. Its score is 50.9; the scale is centred on 50, so it sits 0.9 points above the typical model. That beats 79% of the ranked field. Among the 41 ranked Google DeepMind models it is #9. The next one up is Gemini 2.5 Pro Preview (Jun 2025) at 51.0. The next one down is Gemini 3 Pro at 50.6.

Gemini 2.5 Pro Preview (Mar 2025), benchmark by benchmark

Fiction.liveBench puts Gemini 2.5 Pro Preview (Mar 2025) at 66.7%, #16 of 47. That beats 66% of the models tested, but 27.7 points short of grok-4-0709 (94.4%). The results either side are Gemini 2.5 Pro Exp (Mar 2025) (66.7%) and Kimi-K2-Instruct-0905 (66.7%). It covers long-context story comprehension (16k). The board median is 61.1%, so Gemini 2.5 Pro Preview (Mar 2025) is 5.6 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

On SimpleBench, Gemini 2.5 Pro Preview (Mar 2025) reaches 51.6%. It ranks #21 of 61, ahead of 66% of the field, and 30.3 points behind Claude Fable 5 (max) at 81.9%. The results either side are Gemini 2.5 Pro Exp (Mar 2025) (51.6%) and GLM-4.7 (47.7%). It covers trick questions that test common sense. The board median is 41.4%, so Gemini 2.5 Pro Preview (Mar 2025) is 10.2 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

Gemini 2.5 Pro Preview (Mar 2025) has too few results on boards with ten or more models to say where it is strong or weak. Treat any single score as a data point, not a verdict.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so Gemini 2.5 Pro Preview (Mar 2025) costs more than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4 Flash 0731 (max) ($0.016, 53.1), GLM-5.3-Flash (max) ($0.026, 49.6). Similar scores cost more on glm-5p1 ($1.40) and gemini-3.5-flash-high ($1.50).

Release history

The Google DeepMind model released before it was Gemini 2.5 Pro Exp (Mar 2025) on 2025-03-25, which scores 51.2. The next one was gemini-2.5-flash on 2025-04-17, at 45.6.

Reading these numbers

The 2 scores on this page come from 1 source: Epoch AI Benchmarking Hub (2). No official leaderboard supplied any of them, so treat them as third-party measurements. With 2 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

More from Google DeepMind

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