gemini-2.0-flash-02-05: benchmark scores, price and ranking

gemini-2.0-flash-02-05 from Google DeepMind,Google ranks #365 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.3), based on 1 benchmark results captured up to 2026-10-13.

Organisation: Google DeepMind,Google
Type: Fast / low-cost (flash) model
Open weights: No
Released: 2025-02-05 (source: epoch)
Aggregate rank: #365 of 743 (score 48.3)

Across the 1 benchmark where at least ten models are scored, gemini-2.0-flash-02-05 is in the top 10% on 0 and in the top half on 0.

gemini-2.0-flash-02-05 benchmark results

gemini-2.0-flash-02-05 benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
EnigmaEval	0.6%	#22 of 24	Epoch AI Benchmarking Hub	2026-10-13

About gemini-2.0-flash-02-05

gemini-2.0-flash-02-05 is a smaller, lower-cost model from Google DeepMind,Google. It was released on 2025-02-05, 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-2.0-flash-02-05 stands

On our aggregate score, gemini-2.0-flash-02-05 is #365 of 743 ranked models, around the middle of the table. Its score is 48.3; the scale is centred on 50, so it sits 1.7 points below the typical model. That beats 51% of the ranked field. Among the 5 ranked Google DeepMind,Google models it is #2. The next one up is gemini-exp-1206 at 50.6. The next one down is gemini-2.0-flash-exp at 47.5.

gemini-2.0-flash-02-05, benchmark by benchmark

EnigmaEval is a weak spot. gemini-2.0-flash-02-05 scores 0.6%, #22 of 24, behind 88% of the models measured. The leader, Gemini 3 Pro Preview, reaches 18.2%. It covers multi-step puzzle hunts. The board median is 2.9%, so gemini-2.0-flash-02-05 is 2.3 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Release history

The next one was Gemini 2.0 Flash (Feb 2025) on 2025-02-05, at 46.1.

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.

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