AI Battle > Rankings > Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite — Placements in 44 Rankings (2026)

Gemini 3.5 Flash-Lite, published by Google, appears in 44 of the 129 datasets AI Battle tracks. Its strongest published placement is #1 of 20 in End-to-End Response Time.

Last updated: . Every placement below comes from the named public dataset; AI Battle joins them by slug and changes nothing else.

All placements for Gemini 3.5 Flash-Lite

RankingRankValue
End-to-End Response Time#1 of 208.28
Output Speed#1 of 20365
Time per Intelligence Index Task#1 of 200.79
Latency: Time To First Answer Token#1 of 208.28
Output Speed#1 of 20365
Time per Intelligence Index Task#1 of 200.79
Humanity's Last Exam: Time per Task#1 of 200.48
Time per Task#1 of 201.91
AA-LCR v1.1: Time per Task#1 of 200.12
𝜏³-Banking: Time per Task#1 of 200.46
Output Tokens per Intelligence Index Task#2 of 207102
Context Window#2 of 201000000
Output Tokens per Intelligence Index Task#2 of 207102
Terminal-Bench v4.0: Time per Task#2 of 202.46
AA-Briefcase Cost per Task#2 of 200.04
AA-Briefcase Output Tokens per Task#2 of 2015488
GDPval-AA v2: Cost per Task#2 of 200.00
Cost per Intelligence Index Task#3 of 200.00
Cost to Run Artificial Analysis Intelligence Index#3 of 2026.6
Cost per Intelligence Index Task#3 of 200.00
Cost to Run Artificial Analysis Intelligence Index#3 of 2026.6
Terminal-Bench v4.0: Cost per Task#3 of 200.00
GDPval-AA v2: Output Tokens per Task#3 of 2015237
SciCode: Time per Task#3 of 200.21
MMMU-Pro: Total Cost to Run#3 of 190.67
AA-Omniscience Index: Cost Breakdown#4 of 200.22
Humanity's Last Exam: Cost per Task#5 of 200.00
Humanity's Last Exam: Output Tokens per Task#5 of 20367
𝜏³-Banking: Cost per Task#6 of 200.00
Pricing: Cache Hit, Input, and Output#7 of 200.30
Pricing: Cache Hit, Input, and Output#7 of 200.30
Terminal-Bench v4.0: Output Tokens per Task#7 of 2026783
AA-LCR v1.1: Cost per Task#7 of 200.03
SciCode: Cost per Task#7 of 200.00
AA-Omniscience Index: Token Usage#8 of 20721866
AA-Omniscience Hallucination Rate#9 of 200.34
MMMU-Pro: Token Usage#9 of 192246200
SciCode: Output Tokens per Task#11 of 20433
AA-Omniscience Index#12 of 205.23
AA-Omniscience Index#12 of 205.23
MMMU-Pro: Score#12 of 190.79
𝜏³-Banking: Output Tokens per Task#15 of 201925
AA-Omniscience Index: Score#17 of 205.23
AA-LCR v1.1: Output Tokens per Task#19 of 20176

Price vs intelligence

intelligence index →input price / 1M → $4.00
Each dot is a model, joined by AI Battle from two public datasets — the intelligence index ranking and the published input pricing ranking. Every published value is shown as-is, no averaging. The dashed line is the value frontier: no model above or to the right of it offers a lower input price at its intelligence level.

How to read this profile

Each row is a separate measurement in a separate dataset — the position reflects the metric of that ranking, and a higher number is not "better" for every dataset (times and prices are costs). AI Battle deliberately does not average placements into a single score: datasets differ in coverage, so a total would hide more than it shows.

Raw data

Machine-readable profile: /data/models/gemini-3-5-flash-lite.json.

Method

Placements, joins and this page are computed by AI Battle from public datasets — see the methodology for sources, limitations and corrections.