What is the IQ of gemini-3.1-flash-lite?

gemini-3.1-flash-lite has an estimated IQ of 104, which ranks #102 out of 176 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.

What is gemini-3.1-flash-lite best at?

Among the dimensions with published benchmark results, gemini-3.1-flash-lite ranks highest in Abstract Reasoning (IQ 93, #87 of 201) and Reliability (IQ 112, #93 of 177). Its lowest-ranked measured dimension is Programmatic Reasoning (IQ 92, #160 of 177).

What is the EQ of gemini-3.1-flash-lite?

gemini-3.1-flash-lite doesn't have an EQ score yet. EQ (emotional reasoning) is calculated from EQ-Bench 4 and AttuneBench, and neither has published a result for gemini-3.1-flash-lite. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.

Which benchmarks has gemini-3.1-flash-lite been tested on?

gemini-3.1-flash-lite has published results on 20 of the 39 benchmarks behind AI IQ's Composite IQ, including IFBench, MMMU-Pro, Chess Puzzles, AA Long Context Reasoning v1.1 and SciCode.

How much does gemini-3.1-flash-lite cost?

gemini-3.1-flash-lite costs $0.25 per million input tokens and $1.50 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $0.4294 per million input-plus-output tokens.

Is gemini-3.1-flash-lite open source?

No — gemini-3.1-flash-lite is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.

Who developed gemini-3.1-flash-lite?

gemini-3.1-flash-lite was developed by Google, based in the United States.

When was gemini-3.1-flash-lite released?

gemini-3.1-flash-lite was publicly released on March 3, 2026.

How large is the context window of gemini-3.1-flash-lite?

gemini-3.1-flash-lite supports a context window of 1,000,000 tokens — the amount of text it can consider in a single request.

How fast is gemini-3.1-flash-lite?

In independent measurements, gemini-3.1-flash-lite generates about 366 tokens per second, with a typical response time of about 6.1 seconds.

GoogleReleased Mar 3, 2026

Proprietary

gemini-3.1-flash-lite

Its best results are in Abstract Reasoning (#87 of 201) and Reliability (#93 of 177); weakest in Programmatic Reasoning (#160 of 177). All seven dimensions are measured.

Composite IQ ?

104

#102 of 176 ranked models · ahead of 42%

Google's #10 model, behind Gemini 4 Argon (140)

Effective cost

$0.429/1M

$0.25 in · $1.50 out

Speed

366tok/s

6s typical response

Context

1Mtokens

1,000,000 tokens in

Evidence

7of 7 dims

20 of 39 benchmarks

Compare with gpt-6.1-solAPI pricing

IQ profile

Seven dimensions, averaged equally into Composite IQ

Compare shape with

Measured95% range

#1 in dimensionTop-10 median

IQ dimensions

Ranks are among models scored in each dimension. Ranges are model-based estimates, not calibrated confidence intervals.

DimensionIQPosition · 70–160RankEvidencevs Top 10

Abstract ReasoningAbstract

93measured

#87 / 201

1/5

-33.5

Mathematical ReasoningMath

105measured

#108 / 176

2/5

-42

Academic ReasoningAcademic

116measured

#120 / 203

5/6

-19.5

Programmatic ReasoningCoding

92measured

#160 / 177

2/6

-57.5

Computer UseComputer Use

108measured

#97 / 176

1/5

-35

ReliabilityReliability

112measured

#93 / 177

5/6

-22

Knowledge WorkKnowledge Work

101measured

#112 / 176

4/6

-30.5

gemini-3.1-flash-lite95% range (model-based, uncalibrated)Top-10 median#1 in dimension100 = average human

Benchmark results

20 of 39 Composite IQ benchmarks have a published result for gemini-3.1-flash-lite. Benchmarks without a result stay listed so gaps are visible.

Abstract Reasoning IQ 93 · measuredBest: #40 of 76 on Chess Puzzles1/5

BenchmarkScorePercentileRankLeader · source

Chess Puzzles

Epoch AI vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 15

25.0%

#40 / 76

Leader gpt-6-astra · 72.0%
Epoch AI vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 15

Not yet reported

ARC-AGI-3ARC-AGI-2ARC-AGI-1Mystery Game Puzzles

Mathematical Reasoning IQ 105 · measuredBest: #38 of 56 on AIME2/5

BenchmarkScorePercentileRankLeader · source

AIME

83.3%

#38 / 56

Leader gemini-3.1-pro · 98.1%

FrontierMath Tier 1-3

Full source leaderboard reconciliation · Oct 23

27.7%

#67 / 84

Leader gpt-6-astra · 93.7%
Full source leaderboard reconciliation · Oct 23

Not yet reported

FrontierMath Tier 4ProofBench 1.1MathArena

Academic Reasoning IQ 116 · measuredBest: #46 of 89 on MMMU-Pro5/6

BenchmarkScorePercentileRankLeader · source

MMMU-Pro

Artificial Analysis v4.3.2 · Oct 27

75.5%

#46 / 89

Leader fable-5.1 · 90.6%
Artificial Analysis v4.3.2 · Oct 27

SciCode

Artificial Analysis v4.3.2 · Oct 27

43.4%

#97 / 167

Leader opus-5.5 · 66.9%
Artificial Analysis v4.3.2 · Oct 27

GPQA Diamond

Artificial Analysis v4.3.2 · Oct 27

82.2%

#95 / 147

Leader gpt-6-astra · 96.1%
Artificial Analysis v4.3.2 · Oct 27

CritPt

Artificial Analysis v4.3.2 · Oct 27

1.1%

#112 / 159

Leader Muse Wonder Full · 32.9%
Artificial Analysis v4.3.2 · Oct 27

Humanity's Last Exam

Artificial Analysis v4.3.2 · Oct 27

17.2%

#124 / 167

Leader opus-5.5 · 61.4%
Artificial Analysis v4.3.2 · Oct 27

Not yet reported

MMLU-Pro

Programmatic Reasoning IQ 92 · measuredBest: #64 of 104 on Terminal-Bench 4.02/6

BenchmarkScorePercentileRankLeader · source

Terminal-Bench 4.0

Artificial Analysis v4.3.2 · Oct 27

0.5%

#64 / 104

Leader Kimi K3.1 Pro · 67.2%
Artificial Analysis v4.3.2 · Oct 27

ProgramBench

Full source leaderboard reconciliation · Oct 23

0.0%

#53 / 61

Leader opus-5.5 · 65.0%
Full source leaderboard reconciliation · Oct 23

Not yet reported

LiveCodeBenchIOI V2SWE-rebenchMirrorCode

Computer Use IQ 108 · measuredBest: #29 of 32 on MCP Atlas1/5

BenchmarkScorePercentileRankLeader · source

MCP Atlas

Full source leaderboard reconciliation · Oct 23

57.1%

#29 / 32

Leader muse-spark-1.1 · 88.1%
Full source leaderboard reconciliation · Oct 23

Not yet reported

BrowseCompOSWorld-VerifiedArena.ai Agent ArenaAgents' Last Exam

Reliability IQ 112 · measuredBest: #12 of 96 on IFBench5/6

BenchmarkScorePercentileRankLeader · source

IFBench

Artificial Analysis v4.3.2 · Oct 27

77.2%

#12 / 96

Leader minimax-m3 · 82.9%
Artificial Analysis v4.3.2 · Oct 27

AA Long Context Reasoning v1.1

Artificial Analysis v4.3.2 · Oct 27

74.3%

#89 / 154

Leader kimi-k3 · 88.7%
Artificial Analysis v4.3.2 · Oct 27

FACTS Grounding

Full source leaderboard reconciliation · Oct 23

66.5%

#22 / 36

Leader gpt-6-sol · 85.2%
Full source leaderboard reconciliation · Oct 23

AA Omniscience

Artificial Analysis v4.3.2 · Oct 27

-16.4

#105 / 158

Leader opus-5.5 · 46.4
Artificial Analysis v4.3.2 · Oct 27

BullshitBench v2

Full source leaderboard reconciliation · Oct 23

11.0%

#72 / 83

Leader opus-4.8 · 94.0%
Full source leaderboard reconciliation · Oct 23

Not yet reported

SimpleQA Verified

Knowledge Work IQ 101 · measuredBest: #69 of 106 on GDP.pdf4/6

BenchmarkScorePercentileRankLeader · source

GDP.pdf

Artificial Analysis v4.3.2 · Oct 27

7.8%

#69 / 106

Leader Muse Wonder Full · 32.6%
Artificial Analysis v4.3.2 · Oct 27

AutomationBench-AA

Artificial Analysis v4.3.2 · Oct 27

6.8%

#72 / 106

Leader Gemini 4 Argon · 77.5%
Artificial Analysis v4.3.2 · Oct 27

GDPval-AA v2.1 normalized score

Artificial Analysis v4.3.2 · Oct 20

0.0%

#105 / 124

Leader opus-5.5 · 68.3%
Artificial Analysis v4.3.2 · Oct 20

AA-Briefcase v1.1 Elo

Artificial Analysis v4.3.2 · Oct 27

207.1

#103 / 111

Leader sonnet-5.5 · 1,812
Artificial Analysis v4.3.2 · Oct 27

Not yet reported

AA-AnalystAgentEnterpriseOps-Gym-AA

Release & availability

Release details on record for this model.

Released: Mar 3, 2026
Developer: Google
Weights: ProprietaryHosted access only
Context: 1,000,000 tokens
API price: $0.25 in · $1.50 outper 1M tokens · full pricing

About this score

How much of gemini-3.1-flash-lite's IQ is measured, and how the rest is estimated.

20/ 39benchmark results

7/ 7dimensions measured

0estimated

1/5Abstract

2/5Math

5/6Academic

2/6Coding

1/5Computer Use

5/6Reliability

4/6Knowledge Work

Bar height = share of benchmarks with resultsEstimatedNo score

Measured results are shown as published

Every score in the benchmark tables comes from its source unchanged. Composite IQ averages all seven dimensions equally.

How gaps are handled

Every dimension has at least one published result.

A missing result is not a zero

Benchmark versions and evaluation harnesses can differ between sources, so small gaps between models may not be meaningful.

Read the scoring methodology →

Compare gemini-3.1-flash-lite

Side-by-side pages for the models it is most often weighed against.

#1 overall

gpt-6.1-sol

IQ141 37 higherEffective cost$6.30 14.7× pricier

IQ104 same IQEffective cost$0.327 1.3× cheaper

IQ100 4 lowerEffective cost$0.426 about the same

#2 overall

opus-5.5

IQ141 37 higherEffective cost$35.73 83.2× pricier

gemini-3.1-flash-liteComparison model

Compare with any modelBrowse all comparisons →

Frequently asked questions

Quick answers about gemini-3.1-flash-lite, drawn from the same data as the rest of this page.

How AI IQ scores models →Get this data from the API →

What is the IQ of gemini-3.1-flash-lite?: gemini-3.1-flash-lite has an estimated IQ of 104, which ranks #102 out of 176 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
What is gemini-3.1-flash-lite best at?: Among the dimensions with published benchmark results, gemini-3.1-flash-lite ranks highest in Abstract Reasoning (IQ 93, #87 of 201) and Reliability (IQ 112, #93 of 177). Its lowest-ranked measured dimension is Programmatic Reasoning (IQ 92, #160 of 177).
What is the EQ of gemini-3.1-flash-lite?: gemini-3.1-flash-lite doesn't have an EQ score yet. EQ (emotional reasoning) is calculated from EQ-Bench 4 and AttuneBench, and neither has published a result for gemini-3.1-flash-lite. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.
Which benchmarks has gemini-3.1-flash-lite been tested on?: gemini-3.1-flash-lite has published results on 20 of the 39 benchmarks behind AI IQ's Composite IQ, including IFBench, MMMU-Pro, Chess Puzzles, AA Long Context Reasoning v1.1 and SciCode.
How much does gemini-3.1-flash-lite cost?: gemini-3.1-flash-lite costs $0.25 per million input tokens and $1.50 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $0.4294 per million input-plus-output tokens.
Is gemini-3.1-flash-lite open source?: No — gemini-3.1-flash-lite is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.
Who developed gemini-3.1-flash-lite?: gemini-3.1-flash-lite was developed by Google, based in the United States.
When was gemini-3.1-flash-lite released?: gemini-3.1-flash-lite was publicly released on March 3, 2026.
How large is the context window of gemini-3.1-flash-lite?: gemini-3.1-flash-lite supports a context window of 1,000,000 tokens — the amount of text it can consider in a single request.
How fast is gemini-3.1-flash-lite?: In independent measurements, gemini-3.1-flash-lite generates about 366 tokens per second, with a typical response time of about 6.1 seconds.