Gemini 2.0 Flash Thinking (Jan 2025): benchmark scores, price and ranking

Gemini 2.0 Flash Thinking (Jan 2025) from Google DeepMind,Google 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,Google
Type: Fast / low-cost (flash) model
Open weights: No
Released: 2025-01-21 (source: epoch)
Cheapest API price: $0.150 in / $0.600 out per million tokens (via vertex_ai, observed 2026-10-13T21:47Z)
Aggregate rank: Not ranked yet (too few shared benchmarks)

Across the 1 benchmark where at least ten models are scored, Gemini 2.0 Flash Thinking (Jan 2025) is in the top 10% on 0 and in the top half on 1.

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 Thinking (Jan 2025) benchmark results

Gemini 2.0 Flash Thinking (Jan 2025) benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
Epoch ECI	135	#70 of 204	Epoch AI Benchmarking Hub	2026-10-13

About Gemini 2.0 Flash Thinking (Jan 2025)

Gemini 2.0 Flash Thinking (Jan 2025) is a smaller, lower-cost model from Google DeepMind,Google. It was released on 2025-01-21, according to Epoch AI. 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 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where Gemini 2.0 Flash Thinking (Jan 2025) stands

Gemini 2.0 Flash Thinking (Jan 2025) 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 2.0 Flash Thinking (Jan 2025), benchmark by benchmark

Epoch ECI puts Gemini 2.0 Flash Thinking (Jan 2025) at 135, #70 of 204. That beats 66% of the models tested, but 21 points short of Qwen 3.8 Max (156). The results either side are DeepSeek-R1-Distill-Qwen-14B (135) and Gemini 2.0 Pro (135). It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so Gemini 2.0 Flash Thinking (Jan 2025) is 8 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Release history

The next one was gemini-2.0-flash-02-05 on 2025-02-05, at 48.3.

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.