gemini-2.5-flash-preview-09-2025: benchmark scores, price and ranking

gemini-2.5-flash-preview-09-2025 from Google DeepMind ranks #222 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.0), based on 2 benchmark results captured up to 2026-10-13.

Organisation: Google DeepMind
Type: Preview release
Open weights: No
Context window: 1,048,576 tokens
Cheapest API price: $0.300 in / $2.50 out per million tokens (via vertex_ai, observed 2026-10-13T20:47Z)
Aggregate rank: #222 of 743 (score 50.0)

Across the 2 benchmarks where at least ten models are scored, gemini-2.5-flash-preview-09-2025 is in the top 10% on 1 and in the top half on 1.

Its cheapest listed input price, $0.300 per million tokens, is lower than that of 58% of the 427 models with a listed price.

gemini-2.5-flash-preview-09-2025 benchmark results

gemini-2.5-flash-preview-09-2025 benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
TheAgentCompany	41.1%	#1 of 13	Epoch AI Benchmarking Hub	2026-10-13
Terminal-Bench 2.0	17.1%	#26 of 28	Epoch AI Benchmarking Hub	2026-10-13

About gemini-2.5-flash-preview-09-2025

gemini-2.5-flash-preview-09-2025 is a preview release from Google DeepMind. It accepts up to 1,048,576 tokens of input at once. The cheapest API listing we track charges $0.300 per million input tokens and $2.50 per million output tokens, through vertex_ai. We hold 2 benchmark results for it across 2 areas, and 1 is in the top tenth of its board.

Where gemini-2.5-flash-preview-09-2025 stands

On our aggregate score, gemini-2.5-flash-preview-09-2025 is #222 of 743 ranked models, around the middle of the table. Its score is 50.0; the scale is centred on 50, so it sits 0.0 points below the typical model. That beats 70% of the ranked field. Among the 41 ranked Google DeepMind models it is #13. The next one up is gemini-2.5-pro_16K at 50.4. The next one down is gemini-2.5-flash-preview-09-2025_16k at 49.3.

gemini-2.5-flash-preview-09-2025, benchmark by benchmark

TheAgentCompany is where gemini-2.5-flash-preview-09-2025 does best: 41.1%, first of 13. The next result is claude-sonnet-4-20250514 at 33.1%, 8.0 points behind. It covers work tasks in a simulated software company. The board median is 8.6%, so gemini-2.5-flash-preview-09-2025 is 32.5 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Terminal-Bench 2.0 is a weak spot. gemini-2.5-flash-preview-09-2025 scores 17.1%, #26 of 28, behind 89% of the models measured. The leader, Gemini 3 Pro Preview, reaches 69.4%. It covers real terminal tasks (agent + model). The board median is 37.3%, so gemini-2.5-flash-preview-09-2025 is 20.2 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

gemini-2.5-flash-preview-09-2025 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-flash-preview-09-2025 costs less 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 V4.1 Flash (high) ($0.010, 48.9), DeepSeek V4 Flash 0731 (max) ($0.016, 53.1). Similar scores cost more on qwen-2.5-72b-instruct ($0.380) and Devstral (2512) ($0.400).

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

#219 step-5-preview-high (50.0)
#220 claude-sonnet-4-20250514_2K (50.0)
#221 gemini-exp-1114 (50.0)
#223 DeepSeek v4 (unknown) (50.0)
#224 Devstral Small (2512) (49.9)
#225 claude-sonnet-4-20250514_32K (49.9)

More from Google DeepMind

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