Gemini 3.5 Flash-Lite (High): benchmark scores, price and ranking

Gemini 3.5 Flash-Lite (High) from Google ranks #386 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.0), based on 1 benchmark results captured up to 2026-10-13.

Organisation: Google
Type: Fast / low-cost (flash) model
Open weights: No
Released: 2026-07-21 (source: epoch)
Cheapest API price: $0.300 in / $2.50 out per million tokens (via aihubmix, observed 2026-10-13T20:47Z)
Aggregate rank: #386 of 743 (score 48.0)

Across the 1 benchmark where at least ten models are scored, Gemini 3.5 Flash-Lite (High) is in the top 10% on 0 and in the top half on 0.

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 3.5 Flash-Lite (High) benchmark results

Gemini 3.5 Flash-Lite (High) benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
ARC-AGI-2	10.3%	#49 of 87	ARC Prize official leaderboard	2026-10-13

About Gemini 3.5 Flash-Lite (High)

Gemini 3.5 Flash-Lite (High) is a smaller, lower-cost model from Google. It was released on 2026-07-21, according to Epoch AI. The cheapest API listing we track charges $0.300 per million input tokens and $2.50 per million output tokens, through aihubmix. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where Gemini 3.5 Flash-Lite (High) stands

On our aggregate score, Gemini 3.5 Flash-Lite (High) is #386 of 743 ranked models, around the middle of the table. Its score is 48.0; the scale is centred on 50, so it sits 2.0 points below the typical model. That beats 48% of the ranked field. Among the 29 ranked Google models it is #19. The next one up is gemini-1.5-flash-002 (0924) at 48.4. The next one down is gemini-2.0-flash-thinking-exp-01-21 at 47.9.

Gemini 3.5 Flash-Lite (High), benchmark by benchmark

Gemini 3.5 Flash-Lite (High) lands below the middle on ARC-AGI-2: 10.3%, #49 of 87, with 55% of the field scoring higher. GPT-6 Astra (max) leads at 95.0%; the closest result above is Kimi K2.5 at 11.8%. It covers abstract reasoning, ARC Prize public eval set. The board median is 22.8%, so Gemini 3.5 Flash-Lite (High) is 12.5 points below it. Source: ARC Prize official leaderboard, captured 2026-10-13.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so Gemini 3.5 Flash-Lite (High) 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 qwen3.6-plus ($0.325) and GLM-4.5 Thinking ($0.400).

Release history

The Google model released before it was gemini-3.5-flash-high on 2026-05-19, which scores 52.2. The next one was Gemini 3.6 Flash (High) on 2026-07-21, at 48.9.

Reading these numbers

The 1 score on this page comes from 1 source: ARC Prize official leaderboard (1). 1 of them come from an official leaderboard and 0 from datasets or third-party runs. The leaderboard also lists 4 other reasoning-effort settings of this model, which redirect here. This page shows the highest. With 1 results the aggregate rank can move a lot when one new score arrives.

Gemini 3.5 Flash-Lite (High) is also listed at 4 other reasoning-effort settings; this page shows the highest-effort row, which is the one the leaderboard keeps by default.

Models ranked nearby

#383 Codex + GPT-5.6 Luna (48.1)
#384 ERNIE-4.5-21B-A3B-Base-PT (48.1)
#385 Llama-3.2-11B-Vision-Instruct (48.0)
#387 DeepSeek-V3.1 (48.0)
#388 DeepSeek-R1-Distill-Llama-70B (48.0)
#389 DeepSeek-R1 (48.0)