Google DeepMindproprietary
Released: 2026-07-21

Gemini 3.5 Flash-Lite

Google ultra-high-speed foundation model designed for large-scale automation at 220 tokens/sec.

Intelligence Index
87.5/ 100
Calibrated multi-domain composite
Throughput Speed
220tok/sec
Output streaming throughput
Time To First Token
190ms
Initial chunk server latency
LiveBench Contam-Free
73.8%
September 2026 suite score

LiveBench Multi-Domain Evaluation Breakdown

Monthly refreshed contamination-free test sets
Logical Reasoning83.5%
Coding & Repo Repair74.0%
Mathematics (AIME)85.2%
Data Analysis & Tables71.0%
Language & Comprehension67.5%
Instruction Following61.5%

Sourced Benchmark Evaluations (3)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
ARC-AGI-2Nearing Saturation66.7%
75
2026-08-18independentSource ↗
SWE-bench VerifiedSaturated56.2%
25
2026-07-30independentSource ↗
IFEvalDeprecated61.5%
25
2026-07-25independentSource ↗
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gemini-3-5-flash-lite",
    messages=[{"role": "user", "content": "Evaluate multi-step logic problem"}],
    temperature=0.2
)
print(response.choices[0].message.content)

Evaluation & Sourcing Notes

Scores listed for Gemini 3.5 Flash-Lite 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.