Home › AI Benchmark › Gemini 3.5 Flash
Google DeepMind released on May 19, 2026 API access

Gemini 3.5 Flash

Gemini 3.5 Flash (Google DeepMind) was released on May 19, 2026. In the Epoch AI capability ranking (ECI), it ranks #37 out of 267 models, with 154.38. On Arena, which measures human preference in blind comparisons, it has 1,526 ELO points (#27). On LiveBench, the overall average is 74.6, #31 out of 58 scored models. Against models of the same generation, its best result is on SWE-bench Verified: 79.3%, #3 of 23.

#37 of 267 in the ECI ranking
154.38 ECI, the Epoch AI capability index
1,526 Arena ELO, human preference · #27
74.6 LiveBench, overall average from 0 to 100 · #31
No votes yet. Rate it.
What the tests say

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

Gemini 3.5 Flash has published results on 31 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Aug 22, 2025 and Aug 17, 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.

SWE-bench Verified79.3%
#3 of 23 in its generation · #3 of 32 overall
SimpleBench76.7%
#5 of 41 in its generation · #5 of 74 overall
SimpleQA Verified66.2%
#6 of 53 in its generation, tied with 1 · #12 of 81 overall
Blueprint Bench 233.6%
#3 of 22 in its generation, tied with 1 · #9 of 31 overall
Dtbench94.7%
#12 of 67 in its generation, tied with 1 · #19 of 148 overall

Where it falls behind

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

Apex Agents27.5%
#31 of 34 in its generation · record: 82.4% (Gemini 4 Argon)
Ebr Bench4.8%
#15 of 17 in its generation · record: 76.2% (GPT-6 Astra)
DeepSWE37.4%
#20 of 23 in its generation · record: 74.1% (GPT-6 Astra)
Gdp Pdf14.0%
#17 of 23 in its generation, tied with 2 · record: 35.0% (GPT-6.1 Sol)
ForecastBench59.10
#19 of 25 in its generation · record: 62.50 (o3)
See all 31 tests, one by one
TestScoreIn its generationOverallTest record
GPQA Diamond 92.8% #14 / 71 #20 / 173 96.4% Gemini 4 Argon
AIME 2024 and 2025 (OTIS) 95.6% #21 / 71 (tied with 3) #37 / 168 100.0% GPT-5.5
Dtbench 94.7% #12 / 67 (tied with 1) #19 / 148 98.9% Claude Opus 5.5
Lmca 47.15 #20 / 65 #27 / 121 68.23 Claude Opus 5.5
CritPt 13.1% #25 / 64 #42 / 112 32.3% GPT-5.6 Sol
WeirdML 62.6% #23 / 57 #26 / 112 93.6% GPT-6 Astra
SciCode 53.9% #17 / 60 #33 / 104 66.9% Claude Opus 5.5
Frontiermath Tiers 1 3 V2 62.8% #23 / 54 #37 / 86 93.7% GPT-6 Astra
ARC-AGI 2 72.1% #12 / 45 (tied with 1) #19 / 83 95.0% GPT-6 Astra
ALE-Bench 911 #34 / 56 #47 / 82 2,951 GPT-6 Astra
WebDev Arena 1,506 #27 / 64 #42 / 82 1,820 Claude Opus 5.5
ARC-AGI 92.5% #14 / 45 (tied with 1) #21 / 81 98.5% Claude Fable 5
SimpleQA Verified 66.2% #6 / 53 (tied with 1) #12 / 81 76.0% Gemini 4 Argon
Chess puzzles 45.0% #16 / 52 (tied with 2) #26 / 80 76.0% GPT-6 Astra
Game puzzles 32.0% #16 / 48 (tied with 1) #26 / 77 84.0% GPT-6 Astra
ProofBench 31.0% #25 / 51 (tied with 1) #42 / 74 100.0% Claude Fable 5.1
SimpleBench 76.7% #5 / 41 #5 / 74 81.9% Claude Fable 5
Frontiermath Tier 4 V2 26.8% #22 / 43 (tied with 3) #34 / 67 100.0% GPT-6.1 Sol
FrontierMath 39.0% #10 / 33 (tied with 1) #10 / 65 51.7% GPT-5.5
ForecastBench 59.10 #19 / 25 #35 / 62 62.50 o3
Vending Bench 2 5,396 #20 / 44 #27 / 57 15,515 GPT-6 Astra
Apex Agents 27.5% #31 / 34 #46 / 50 82.4% Gemini 4 Argon
FrontierMath tier 4 14.6% #12 / 33 #12 / 48 39.6% GPT-5.5 Pro
Gdp Pdf 14.0% #17 / 23 (tied with 2) #30 / 37 35.0% GPT-6.1 Sol
EnigmaEval 25.4% #4 / 17 #4 / 36 39.3% Claude Fable 5
SWE-bench Verified 79.3% #3 / 23 #3 / 32 83.5% Claude Opus 4.7
Blueprint Bench 2 33.6% #3 / 22 (tied with 1) #9 / 31 54.4% Gemini 4 Argon
Ebr Bench 4.8% #15 / 17 #25 / 27 76.2% GPT-6 Astra
DeepSWE 37.4% #20 / 23 #23 / 26 74.1% GPT-6 Astra
Surface Evolver Bench 58.1% #10 / 19 #11 / 24 95.0% Claude Fable 5
Gbaeval 6.7% #14 / 22 #14 / 22 79.6% Claude Opus 5

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 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
Muse Spark 1.2 Meta AI 154.90 1,509 78.0 Aug 5, 2026
DeepSeek V4 Flash 0731 DeepSeek 154.49 n/a 74.2 Jul 31, 2026
Gemini 3.5 Flash Google DeepMind 154.38 1,526 74.6 May 19, 2026
Grok 4.7 xAI 154.37 1,453 77.4 Sep 21, 2026
Muse Spark 1.1 Meta AI 154.00 1,516 75.3 Jul 9, 2026
Grok 4.5 xAI 153.93 1,495 75.8 Jul 8, 2026
GPT-5.2 Codex OpenAI no ECI n/a 74.0 Dec 18, 2025
Head to head

Gemini 3.5 Flash or Grok 4.7?

Grok 4.7 is the model from another lab closest to Gemini 3.5 Flash in capability. Across the 19 tests both took, this is the score:

Gemini 3.5 Flash ahead on 9 Grok 4.7 ahead on 10
Largest differences first
TestGemini 3.5 FlashGrok 4.7
Apex Agents 27.5% 54.6%
Vending Bench 2 5,396 10,537
Gdp Pdf 14.0% 22.8%
Frontiermath Tier 4 V2 26.8% 17.1%
CritPt 13.1% 18.0%
Frontiermath Tiers 1 3 V2 62.8% 53.0%
SimpleQA Verified 66.2% 56.0%
ARC-AGI 2 72.1% 61.4%
Game puzzles 32.0% 29.0%
Chess puzzles 45.0% 41.0%

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

Cost per task

What Gemini 3.5 Flash costs to deliver each task

Price per token is what is on the price sheet; cost per task is what lands on the invoice, because it depends on how many tokens the model spends. Each point is an effort level, published by whoever ran the test and compiled by Epoch AI. The further up and to the left, the more score per dollar.

ARC-AGI 2

The score scale does not start at zero.

0%20%41%61%82%US$ 0.11US$ 0.36US$ 0.60US$ 0.85cost per taskGemini 3.5 Flash · minimal · 8.9% · US$ 0.11minimalGemini 3.5 Flash · high · 72.1% · US$ 0.85highGrok 4.5 · low · 33.1% · US$ 0.40Grok 4.5 · medium · 52.6% · US$ 0.75Grok 4.5 · high · 52.6% · US$ 0.78
Gemini 3.5 FlashGrok 4.5

ARC-AGI

The score scale does not start at zero.

42%56%71%85%99%US$ 0.06US$ 0.19US$ 0.31US$ 0.43cost per taskGemini 3.5 Flash · minimal · 48.8% · US$ 0.06minimalGemini 3.5 Flash · high · 92.5% · US$ 0.43highGrok 4.5 · low · 79.2% · US$ 0.18Grok 4.5 · medium · 87.2% · US$ 0.31Grok 4.5 · high · 85.7% · US$ 0.33
Gemini 3.5 FlashGrok 4.5

DeepSWE

The score scale does not start at zero.

36%36%37%37%38%US$ 3US$ 5US$ 6US$ 7cost per taskGemini 3.5 Flash · high · 36.1% · US$ 3.45highGemini 3.5 Flash · medium · 37.4% · US$ 7.34medium
Gemini 3.5 Flash
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? Rate it

n/a out of 5
no votes yet

Users' opinion, not measurement: the rating is kept apart from the ranking and does not move anyone's position. One vote per browser, no sign-up, and you can change your rating later.

Tap a star to vote.
Frequently asked questions

What people ask about Gemini 3.5 Flash

Where does Gemini 3.5 Flash rank among AI models?

In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Gemini 3.5 Flash ranks #37 out of 267 models, with an ECI of 154.38. 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 better than Grok 4.7?

Across the 19 tests both models took and Epoch AI compiled, Gemini 3.5 Flash comes out ahead on 9, behind on 10 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.

What is Gemini 3.5 Flash best at?

Against models of the same generation (released up to 9 months before and up to 3 months after it), the best relative results of Gemini 3.5 Flash are: SWE-bench Verified (#3 of 23); SimpleBench (#5 of 41); SimpleQA Verified (#6 of 53). The yardstick is its position among the models of that period that took the same test.

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.

← See the full ranking