LLMs TigerLive LLM benchmarks

Gemini 2.0 Flash: benchmark scores, price and ranking

Gemini 2.0 Flash from Google DeepMind ranks #626 of 743 LLMs on the LLMs Tiger aggregate benchmark score (44.6), based on 2 benchmark results captured up to 2026-10-13.

Organisation
Google DeepMind
Type
Fast / low-cost (flash) model
Open weights
No
Released
2024-12-11 (source: curated)
Cheapest API price
$0.150 in / $0.600 out per million tokens (via vertex_ai, observed 2026-10-13T20:47Z)
Aggregate rank
#626 of 743 (score 44.6)

Across the 2 benchmarks where at least ten models are scored, Gemini 2.0 Flash is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $0.150 per million tokens, is lower than that of 72% of the 427 models with a listed price.

Gemini 2.0 Flash benchmark results

Gemini 2.0 Flash benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
ARC-AGI-21.3%#69 of 87ARC Prize official leaderboard2026-10-13
SWE-bench Verified13.5%#68 of 73SWE-bench Verified leaderboard2026-10-13

About Gemini 2.0 Flash

Gemini 2.0 Flash is a smaller, lower-cost model from Google DeepMind. It was released on 2024-12-11, according to the developer's announcement. The cheapest API listing we track charges $0.150 per million input tokens and $0.600 per million output tokens, through vertex_ai. We hold 2 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where Gemini 2.0 Flash stands

On our aggregate score, Gemini 2.0 Flash is #626 of 743 ranked models, in the lower half. Its score is 44.6; the scale is centred on 50, so it sits 5.4 points below the typical model. That beats 16% of the ranked field. Among the 41 ranked Google DeepMind models it is #27. The next one up is gemini-2.5-flash at 45.6. The next one down is gemini-2.5-flash-lite-preview-06-17 (Default thinking length) at 44.6.

Gemini 2.0 Flash, benchmark by benchmark

Gemini 2.0 Flash lands below the middle on ARC-AGI-2: 1.3%, #69 of 87, with 78% of the field scoring higher. GPT-6 Astra (max) leads at 95.0%; the closest result above is DeepSeek-R1 at 1.3%. It covers abstract reasoning, ARC Prize public eval set. The board median is 22.8%, so Gemini 2.0 Flash is 21.5 points below it. Source: ARC Prize official leaderboard, captured 2026-10-13.

SWE-bench Verified is a weak spot. Gemini 2.0 Flash scores 13.5%, #68 of 73, behind 92% of the models measured. The leader, Claude Opus 4.7 (max), reaches 83.5%. It covers real GitHub issues resolved. The board median is 56.4%, so Gemini 2.0 Flash is 42.9 points below it. Source: SWE-bench Verified leaderboard, captured 2026-10-13.

Strengths and weaknesses

Gemini 2.0 Flash 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 2.0 Flash 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), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on Phi-3-medium-128k-instruct ($0.170) and Llama 4 Maverick (FP8) ($0.188).

Release history

The Google DeepMind model released before it was gemini-1.5-flash-8b-001 on 2024-10-03, which scores 42.0. The next one was gemini-2.0-flash-lite on 2025-02-05, at 46.6.

Reading these numbers

The 2 scores on this page come from 2 sources: ARC Prize official leaderboard (1), SWE-bench Verified leaderboard (1). 2 of them come from an official leaderboard and 0 from datasets or third-party runs. 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