Google DeepMindproprietary
Released: 2026-06-01

Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation...

Intelligence Index
85.0/ 100
Calibrated multi-domain composite
Throughput Speed
85tok/sec
Output streaming throughput
Time To First Token
280ms
Initial chunk server latency
LiveBench Contam-Free
74.8%
September 2026 suite score

LiveBench Multi-Domain Evaluation Breakdown

Monthly refreshed contamination-free test sets
Logical Reasoning78.2%
Coding & Repo Repair76.5%
Mathematics (AIME)75.7%
Data Analysis & Tables72.3%
Language & Comprehension74.0%
Instruction Following74.8%

Sourced Benchmark Evaluations (61)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
ARC-AGI-3Active53.6%
93
2026-07-06independentSource ↗
ARC-AGI-2Nearing Saturation64.4%
75
2026-06-29independentSource ↗
FrontierMathActive22.1%
98
2026-06-26independentSource ↗
PutnamBenchActive41.1%
90
2026-06-25independentSource ↗
SWE-LancerDeprecated54.9%
20
2026-06-23independentSource ↗
Omni-MATHDeprecated58.5%
10
2026-06-23independentSource ↗
SoohakActive60.1%
98
2026-06-21independentSource ↗
FrontierCodeActive46.9%
98
2026-06-21independentSource ↗
Humanity's Last ExamActive36.3%
93
2026-06-19independentSource ↗
StructFlowBenchNearing Saturation63.6%
75
2026-06-19independentSource ↗
AIMENearing Saturation75.1%
75
2026-06-19independentSource ↗
OlympiadBenchActive64.9%
80
2026-06-18independentSource ↗
MathArenaActive63.3%
99
2026-06-17independentSource ↗
FireBenchActive62.8%
95
2026-06-17independentSource ↗
Terminal-BenchActive56.6%
80
2026-06-17independentSource ↗
OpenAI-MRCRActive71.4%
80
2026-06-16independentSource ↗
SimpleQAActive44.2%
90
2026-06-16independentSource ↗
CodeContestsDeprecated52.5%
10
2026-06-16independentSource ↗
ComplexBenchNearing Saturation61.3%
80
2026-06-15independentSource ↗
SWE-bench ProActive50.1%
90
2026-06-15independentSource ↗
LongBench-ProActive69.7%
80
2026-06-15independentSource ↗
ZeroSCROLLSNearing Saturation68%
78
2026-06-14independentSource ↗
MultiPL-EDeprecated74.3%
10
2026-06-14independentSource ↗
LiveCodeBenchSaturated66.3%
39
2026-06-13independentSource ↗
AgentIFNearing Saturation50.9%
80
2026-06-13independentSource ↗
MATHSaturated77.5%
25
2026-06-13independentSource ↗
InfiniteBenchNearing Saturation72.3%
65
2026-06-13independentSource ↗
MercuryDeprecated71.1%
10
2026-06-12independentSource ↗
SCROLLSNearing Saturation68%
65
2026-06-12independentSource ↗
MMLU-ProNearing Saturation78.2%
75
2026-06-12independentSource ↗
RULERNearing Saturation78.2%
84
2026-06-11independentSource ↗
TabMWPSaturated72.8%
25
2026-06-11independentSource ↗
CyberSecEvalDeprecated72.7%
10
2026-06-11independentSource ↗
SWE-bench VerifiedSaturated63%
25
2026-06-10independentSource ↗
MMLU-ReduxSaturated83.3%
25
2026-06-10independentSource ↗
QuALITYNearing Saturation74.8%
78
2026-06-10independentSource ↗
LongBenchNearing Saturation73.1%
65
2026-06-09independentSource ↗
SWE-benchDeprecated54.9%
10
2026-06-09independentSource ↗
MGSMNearing Saturation75.1%
65
2026-06-09independentSource ↗
AGIEvalSaturated71%
25
2026-06-08independentSource ↗
QASPERNearing Saturation70.6%
65
2026-06-08independentSource ↗
TruthfulQASaturated74.8%
25
2026-06-08independentSource ↗
GSM-HardDeprecated75.9%
10
2026-06-07independentSource ↗
SuperGLUESaturated84.2%
25
2026-06-07independentSource ↗
CodeXGLUEDeprecated76%
23
2026-06-06independentSource ↗
MT-BenchNearing Saturation7.7%
75
2026-06-06independentSource ↗
BIG-Bench HardSaturated80.9%
25
2026-06-06independentSource ↗
WinoGrandeSaturated85.8%
28
2026-06-05independentSource ↗
MBPP+Nearing Saturation82.4%
65
2026-06-05independentSource ↗
IFEvalDeprecated73.3%
25
2026-06-05independentSource ↗
GPQANearing Saturation74.8%
78
2026-06-05independentSource ↗
Needle-in-a-HaystackSaturated97%
44
2026-06-04independentSource ↗
HumanEval+Saturated87.3%
25
2026-06-04independentSource ↗
CommonsenseQASaturated86.6%
28
2026-06-04independentSource ↗
MBPPSaturated85.6%
25
2026-06-03independentSource ↗
GSM8KSaturated85.4%
25
2026-06-03independentSource ↗
GLUESaturated89.1%
28
2026-06-03independentSource ↗
MMLUSaturated86.7%
25
2026-06-02independentSource ↗
HumanEvalSaturated92.1%
25
2026-06-02independentSource ↗
ARC-AGISaturated77.6%
25
2026-06-02independentSource ↗
LiveBench (Continuous)Active74.8%
94
2025-02-01independentSource ↗
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="google-nano-banana-2-lite-gemini-3-1-flash-lite-image",
    messages=[{"role": "user", "content": "Evaluate multi-step logic problem"}],
    temperature=0.2
)
print(response.choices[0].message.content)

Evaluation & Sourcing Notes

Scores listed for Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) represent verified evaluations extracted from official research papers, independent evaluation suites (HELM, LMSYS, OpenCompass, LiveBench), and verified audit reports.

All benchmarks marked as saturated or deprecated reflect historical performance where the benchmark no longer provides active discriminative power.