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Google DeepMind released on Jul 21, 2026 API access

Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite (Google DeepMind) was released on Jul 21, 2026. In the Epoch AI capability ranking (ECI), it ranks #93 out of 267 models, with 145.15. On Arena, which measures human preference in blind comparisons, it has 1,467 ELO points (#93). On LiveBench, the overall average is 63.9, #57 out of 58 scored models.

#93 of 267 in the ECI ranking
145.15 ECI, the Epoch AI capability index
1,467 Arena ELO, human preference · #93
63.9 LiveBench, overall average from 0 to 100 · #57
1.0 out of 5 · 1 vote
What the tests say

Where Gemini 3.5 Flash-Lite stands out and where it falls behind, by the numbers

Gemini 3.5 Flash-Lite has published results on 18 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Oct 24, 2025 and Oct 19, 2026 that took the same test. Against the whole archive, which includes 2023 models, a recent release lands near the top of almost everything, and that says nothing.

Where it stands out

Tests where it sits in the top third of its own generation.

It is not in the top third of its generation on any test with 6 or more models compared.

Where it falls behind

Tests where it sits in the bottom half of its own generation.

Frontiermath Tier 4 V20.0%
#58 of 58 in its generation · record: 100.0% (GPT-6.1 Sol)
CritPt0.0%
#75 of 79 in its generation, tied with 4 · record: 32.3% (GPT-5.6 Sol)
ARC-AGI53.5%
#48 of 50 in its generation · record: 98.5% (Claude Fable 5)
Gdp Pdf10.0%
#35 of 37 in its generation, tied with 1 · record: 35.0% (GPT-6.1 Sol)
AIME 2024 and 2025 (OTIS)71.1%
#79 of 83 in its generation, tied with 1 · record: 100.0% (GPT-5.5)
See all 18 tests, one by one
TestScoreIn its generationOverallTest record
GPQA Diamond 83.3% #70 / 81 (tied with 3) #73 / 173 96.4% Gemini 4 Argon
AIME 2024 and 2025 (OTIS) 71.1% #79 / 83 (tied with 1) #94 / 168 100.0% GPT-5.5
Dtbench 83.5% #54 / 69 #58 / 148 98.9% Claude Opus 5.5
Lmca 37.60 #50 / 69 #54 / 121 68.23 Claude Opus 5.5
CritPt 0.0% #75 / 79 (tied with 4) #91 / 112 32.3% GPT-5.6 Sol
WeirdML 39.0% #50 / 54 #76 / 112 93.6% GPT-6 Astra
SciCode 41.3% #67 / 76 #72 / 104 66.9% Claude Opus 5.5
Frontiermath Tiers 1 3 V2 26.0% #64 / 68 #69 / 86 93.7% GPT-6 Astra
ARC-AGI 2 10.3% #46 / 50 #49 / 83 95.0% GPT-6 Astra
ALE-Bench 765 #52 / 64 #59 / 82 2,951 GPT-6 Astra
WebDev Arena 1,447 #52 / 75 #52 / 82 1,820 Claude Opus 5.5
ARC-AGI 53.5% #48 / 50 #56 / 81 98.5% Claude Fable 5
Chess puzzles 21.0% #49 / 64 (tied with 4) #55 / 80 76.0% GPT-6 Astra
Game puzzles 19.0% #42 / 62 (tied with 2) #45 / 77 84.0% GPT-6 Astra
ProofBench 13.0% #58 / 70 #60 / 74 100.0% Claude Fable 5.1
Frontiermath Tier 4 V2 0.0% #58 / 58 #65 / 67 100.0% GPT-6.1 Sol
Apex Agents 29.3% #45 / 49 #45 / 50 82.4% Gemini 4 Argon
Gdp Pdf 10.0% #35 / 37 (tied with 1) #35 / 37 35.0% GPT-6.1 Sol

For each test, the model's best effort level counts, as in the ranking. Source of the scores: Epoch AI, under CC BY 4.0.

Comparison

What to compare Gemini 3.5 Flash-Lite with

The models from other labs closest in capability and released in the same period, at most two per lab. Click any of them to see its page.

ModelLabECIELOLiveBenchRelease
MiniMax-M2.7 MiniMax 145.88 1,454 n/a Mar 18, 2026
Kimi K2 Thinking Turbo Moonshot 145.79 1,456 n/a Nov 6, 2025
GLM-5 Z.ai (Zhipu AI) 145.78 1,511 n/a Feb 11, 2026
Nemotron 3 Ultra Nvidia 145.77 n/a n/a Jun 4, 2026
Gemini 3.5 Flash-Lite Google DeepMind 145.15 1,467 63.9 Jul 21, 2026
Qwen3.7 Flash Alibaba 144.64 n/a n/a Jul 27, 2026
Gemini 3.1 Flash-Lite Google 144.47 1,460 n/a Mar 3, 2026
Head to head

Gemini 3.5 Flash-Lite or Nemotron 3 Ultra?

Nemotron 3 Ultra is the model from another lab closest to Gemini 3.5 Flash-Lite in capability. Across the 10 tests both took, this is the score:

Gemini 3.5 Flash-Lite ahead on 4 Nemotron 3 Ultra ahead on 6
Largest differences first
TestGemini 3.5 Flash-LiteNemotron 3 Ultra
CritPt 0.0% 3.1%
ProofBench 13.0% 2.0%
Apex Agents 29.3% 22.7%
AIME 2024 and 2025 (OTIS) 71.1% 86.7%
WeirdML 39.0% 43.5%
Dtbench 83.5% 90.1%
Game puzzles 19.0% 20.0%
SciCode 41.3% 40.3%
GPQA Diamond 83.3% 85.4%
Lmca 37.60 36.90

Unweighted score: each test counts one point, whether math or coding. The dot marks who did better on each row.

Family

Other models from Google DeepMind

The models from the same lab closest in time, newest first.

ModelReleaseECIELOLiveBenchAccess
Gemini 4 Argon Sep 30, 2026 164.56 1,608 n/a Limited access
Gemini 3.8 Flash Sep 2, 2026 157.20 1,551 75.8 API access
Gemini 3.7 Flash Aug 13, 2026 157.22 1,551 78.8 API access
Gemini 3.6 Flash Jul 21, 2026 154.24 1,530 73.6 API access
Gemini 3.5 Flash-Lite Jul 21, 2026 145.15 1,467 63.9 API access
Gemini 3.5 Flash May 19, 2026 154.38 1,526 74.6 API access
Gemma 4 31B IT Apr 2, 2026 142.86 n/a n/a Open weights (restricted use)
Gemma 4 26B A4B Apr 2, 2026 141.81 1,495 n/a Open weights (unrestricted)
Gemini 3.1 Pro Feb 19, 2026 154.67 1,528 77.0 API access
Your rating

Have you used Gemini 3.5 Flash-Lite? Rate it

1.0 out of 5
1 vote

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Frequently asked questions

What people ask about Gemini 3.5 Flash-Lite

Where does Gemini 3.5 Flash-Lite rank among AI models?

In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Gemini 3.5 Flash-Lite ranks #93 out of 267 models, with an ECI of 145.15. The ECI is a composite index that combines several hard benchmarks into a single scale. The position changes when a new model comes out, and the page is refreshed six times a day.

Is Gemini 3.5 Flash-Lite better than Nemotron 3 Ultra?

Across the 10 tests both models took and Epoch AI compiled, Gemini 3.5 Flash-Lite comes out ahead on 4, behind on 6 and tied on 0. It is a test-by-test count with no weighting: a win in math counts the same as a win in coding. To choose between the two, look at the tests that resemble your own use.

Where do the numbers on this page come from?

From the same three sources as the ranking, all openly licensed: Epoch AI (ECI and individual tests, CC BY 4.0), Arena (human-preference ELO, CC BY 4.0) and LiveBench (overall average, CC BY-SA 4.0). ROO3 does not measure any model. When the page shows a figure published by the maker itself, it appears in the written analysis, labeled as the maker's, and never enters the ranking.

Sources

Where each number comes from

Epoch AI, "AI Benchmarking Hub". Published at epoch.ai. Data under the CC BY 4.0 licence, reordered by roo3.co.

The Arena (LMArena) leaderboard, from the public lmarena-ai/leaderboard-dataset on Hugging Face, under the CC BY 4.0 licence. We are not affiliated with the Arena.

LiveBench, by the LiveBench team, published at livebench.ai under the CC BY-SA 4.0 license. The overall average is recomputed by roo3.co with the same formula as the website (average of the categories), and those numbers stay under CC BY-SA 4.0. We are not affiliated with LiveBench.

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