gemini-2.0-flash-lite: benchmark scores, price and ranking
gemini-2.0-flash-lite from Google DeepMind ranks #498 of 743 LLMs on the LLMs Tiger aggregate benchmark score (46.6), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Google DeepMind
- Type
- Fast / low-cost (flash) model
- Open weights
- No
- Released
- 2025-02-05 (source: epoch)
- Cheapest API price
- $0.075 in / $0.300 out per million tokens (via vertex_ai, observed 2026-10-13T20:47Z)
- Aggregate rank
- #498 of 743 (score 46.6)
Across the 1 benchmark where at least ten models are scored, gemini-2.0-flash-lite is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $0.075 per million tokens, is lower than that of 87% of the 427 models with a listed price.
gemini-2.0-flash-lite benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| DTBench | 52.5% | #121 of 146 | Epoch AI Benchmarking Hub | 2026-10-13 |
About gemini-2.0-flash-lite
gemini-2.0-flash-lite is a smaller, lower-cost model from Google DeepMind. It was released on 2025-02-05, according to Epoch AI. The cheapest API listing we track charges $0.075 per million input tokens and $0.300 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-lite stands
On our aggregate score, gemini-2.0-flash-lite is #498 of 743 ranked models, in the lower half. Its score is 46.6; the scale is centred on 50, so it sits 3.4 points below the typical model. That beats 33% of the ranked field. Among the 41 ranked Google DeepMind models it is #24. The next one up is Gemini 2.0 Pro Exp (Feb 2025) at 46.7. The next one down is Gemma 2 9B at 46.5.
gemini-2.0-flash-lite, benchmark by benchmark
DTBench is a weak spot. gemini-2.0-flash-lite scores 52.5%, #121 of 146, behind 82% of the models measured. The leader, Claude Opus 5.5 (max), reaches 98.9%. It covers dynamic tool-use benchmark. The board median is 68.8%, so gemini-2.0-flash-lite is 16.3 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so gemini-2.0-flash-lite 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 Gemma 4 26B A4B ($0.076) and qwen3-4b ($0.080).
Release history
The Google DeepMind model released before it was Gemini 2.0 Flash on 2024-12-11, which scores 44.6. The next one was Gemini 2.0 Pro Exp (Feb 2025) on 2025-02-05, at 46.7.
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.
Models ranked nearby
- #495 Claude Sonnet 3.5 (46.7)
- #496 MCTS Refine 7B (46.7)
- #497 Composer 2.5 (46.6)
- #499 Mellum2-12B-A2.5B-Thinking-SFT (46.6)
- #500 EXAONE-3.5-7.8B-Instruct (46.6)
- #501 GPT-4.5 Preview (Feb 2025) (46.6)
More from Google DeepMind
- Gemini 3.8 Flash (high) (#26, 54.0)
- Gemini 3.7 Flash (high) (#27, 53.9)
- Gemini 3 Pro Preview (#31, 53.7)
- Gemini 3 Deep Think (#60, 52.6)
- AI co-mathematician (#69, 52.3)
- Gemini 3 Flash (#120, 51.5)
Compare it on the live leaderboard → · How the aggregate score works