GoogleUnited States· released Jul 2026

Gemini 3.6 Flash

Name: Gemini 3.6 Flash
Author: Google

Ranked #25, 36.8% behind the frontier on average.

Google, United States. One of 14 models from this lab on the Index.

Third-party publishedMedium confidence (7+ comparable tests, 3+ Index categories)

Snapshot September 8, 2026

OpenCharts Index

63.2

Ranked #25 (20 to 28) of 36 · 36.8% behind the frontier on average · 16 comparable tests · 3 counting categories

Drop any single test and the Index lands between 58.7 and 67.5, anywhere from #20 to #28. Neighbours inside that range are ties.

Needs more results (3 of 8 so far)

Averaging 49.7 on the 3 it has; the score opens at 4 of 8.

Distance to today's frontier on the hardest tests. Not a measure of intelligence.

What it's known for

Gemini 3.6 Flash, in 16 results.

Strongest in reasoning (71.7) and coding (63.9). It trails the frontier most in math, 46.1% behind on average. No comparable results yet in agentic and long context. Between 35% and 40% behind the best published results, on average. Drop any single test and it would sit anywhere from #20 to #28.

Strongest category

Reasoning

Hard, novel problems: graduate science, abstract puzzles, expert exams.

71.7

GPQA Diamond94.1% · 98% of best
ARC-AGI-191.2% · 93% of best
ARC-AGI-260.4% · 64% of best
CritPt10.6% · 33% of best

Mean of 4 of the category's 6 comparable tests. Counts toward the Index.

Best single result

GPQA Diamond

Answer a PhD-level multiple-choice question in physics, chemistry or biology that a web search will not settle.

94.1%

97.7% of the best (95.8%), above chance · #5 of 78.

Expert-level science questions are the closest thing to asking a specialist colleague. A model that gets them right can check a technical claim instead of echoing it.

Where it trails

FrontierMath Tier 4

Solve the hardest FrontierMath tier: problems that take expert mathematicians days.

22.0%

77.5% behind the best published result (97.6%) · #32 of 51.

The deepest end of the set. Progress here signals genuinely new capability.

Not measured yet

No comparable result yet in these 2 categories. A blank is a blank, never a zero, and it does not lower the Index.

Agentic
Long context

Covered, but not averaged into the Index:

Knowledgesingle-test category, shown beside the Index · 87.6
Multimodalsingle-test category, shown beside the Index · 91.9
Human preferencesingle-test category, shown beside the Index · 92.3

Every score, with its source

See it at work

What Gemini 3.6 Flash was asked to do, and how it did.

Every test it has taken, by category, with the kind of task it faced, who produced the number and where the result landed against the best published one. The examples are original and illustrative, never items from the datasets themselves.

Human preference · mean 92.3 across 1 comparable test · a single-test category, shown beside the Index and never averaged into it

Text ArenaLeaderboard

Answer the same prompt as a rival model; real users vote blind on which answer they prefer.

1,480

46% expected win rate against the board leader (1,507)
#18 of 92

high · board 2026-09-02

Source: Arena

Every result is read against the best published one on its test: percent scores as a share of the best above chance, Arena ratings as the expected win rate against the board leader, open-ended values on a log scale. Sitting a harder exam never lowers a model. Every number links to the publisher that produced it.

Head to head

Gemini 3.6 Flash against whoever you pick.

Choose a rival. Every counted test both have taken appears side by side as a share of the best published result on that test, with the category means above. A win is a higher share; a gap under 2 points is a tie, because one item on a 45-problem exam is 2.2 points and publishers' own standard errors are of that order.

Gemini 3.6 Flash

#25·Index 63.2C

0 : 13

wins · 0 ties · 13 shared

GPT-6 Astra

#1·Index 99.0A+

GPT-6 Astra comes out ahead on 13 of the 13 tests both have taken.

Category means

Reasoning
71.7
99.6
Knowledge
87.6
100.0
Coding
63.9
97.7
Math
53.9
99.8
Agentic
—
98.5
Multimodal
91.9
—
Human preference
92.3
—

Shared tests · biggest gaps first

FrontierMath Tier 4Math
22.0%
97.6%
−77.5
CritPtReasoning
10.6%
31.7%
−65.5
Code Arena (WebDev)Coding
1,538
1,797
−63.2
ProofBenchMath
36.0%
99.0%
−63.0
WeirdMLCoding
56.1%
92.9%
−39.6
FrontierMath (Tiers 1–3)Math
58.9%
93.7%
−37.1
ARC-AGI-2Reasoning
60.4%
95.0%
−36.4
FrontierCodeCoding
34.4%
53.3%
−35.3
SimpleQA VerifiedKnowledge
66.2%
75.6%
−12.4
ARC-AGI-1Reasoning
91.2%
98.5%
−7.4
SciCodeCoding
52.7%
56.5%
−6.1
Mock AIME 2024–2025Math
94.2%
100.0%
−5.8
GPQA DiamondReasoning
94.1%
95.8%
−2.3

Bars are distances to the best published result on each test (percent scores above chance, Arena ratings as win rate against the leader, open-ended values on a log scale). Raw values as the publishers report them.

Open GPT-6 Astra

Scores

Every test, every source

The best published run per benchmark, the raw value as the publisher reports it, who produced the number, how close it comes to the best published result on that test, and where the model sits among every model scored on it. Percent scores are read above chance, Arena ratings as a win rate against the board leader, open-ended values on a log scale. A test with too few models to compare against is shown but not counted.

Category means

Reasoning71.7 · 4/6
Knowledgebeside87.6 · 1/1
Coding63.9 · 5/7
Math53.9 · 4/5
Agentic—
Multimodalbeside91.9 · 1/1
Human preferencebeside92.3 · 1/1
Long context—

Mean · tests taken of the category's comparable tests. A faded category either rests on fewer than half of them or is a single-test category (marked “beside”), which is shown next to the Index and never averaged into it.

GPQA DiamondEpoch-runReasoning

94.1%

97.7% of the best (95.8%), above chance
95th percentile of 78 · n = 198

high

Source: Epoch AI — AI Benchmarking Hub

ARC-AGI-2LeaderboardReasoning

60.4%

63.6% of the best (95.0%)
54th percentile of 51 · n = 120

high

Source: Epoch AI — AI Benchmarking Hub

ARC-AGI-1LeaderboardReasoning

91.2%