[whatmodel.sh](../../README.md) / Gemini 3.1 Flash-Lite
# Gemini 3.1 Flash-Lite
Google · released 2026-03 · closed weights
**score 66.1** ±0.9 · #124 of 732 · from 11 benchmark results across 6 sources
Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only.
## What it's good at
● marks Gemini 3.1 Flash-Lite among every model on that task or test, worst to best.
task vs the others rank counts tests
agent tasks ▁▁▃▆█▄●▅▄▄▂▁ #142 of 313* 3.9% 1
coding ▁▁▁▃▅▇█●▅▄▃▁ #166 of 469* 15% 1
chat & writing ▁▁▁▃▆▄▆█▆▇●▃ #80 of 402* 8.5% 1
math ▁▁▃▅█▆▄●▄▂▁▁ #117 of 431 39% 3
vision & documents ▁▁▂▂▁▃▄▂▆●█▄ #64 of 153* 18% 2
web search ▁●▁▅▄█▃▄·▁·▁ #79 of 84* 3.9% 1
agent tasks · #142 of 313 · 3.9% of its score
Beats [o3](o3.md), [Gemini 2.5 Pro](gemini-2-5-pro.md) here, though they rank higher overall. Trails [SmolLM3 3B](smollm3-3b.md), [Jamba 1.5 Large](jamba-1-5-large.md), [GPT-4o (2024-05-13)](gpt-4o-2024-05-13.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
K-BrowseComp-Verified (Korean web… 11.3% ▃····●··▃█·▃ beats 2/8 very hard · avg 3.6% 3.9% typical
coding · #166 of 469 · 15% of its score
Beats [Qwen3-Coder-Next (80B-A3B)](qwen3-coder-next.md), [Gemini 2.5 Pro](gemini-2-5-pro.md) here, though they rank higher overall. Trails [QwQ-32B-Preview](qwq-32b-preview.md), [Ministral 3 8B Reasoning 2512](ministral-3-8b-reasoning.md), [Phi-4-reasoning 14B](phi-4-reasoning.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
Arena WebDev (Code Arena) 1256.3 ▁▁▃●▅█▃▆▅▅▁▂ beats 15/129 avg 981 15% sharp
chat & writing · #80 of 402 · 8.5% of its score
Beats [Claude Haiku 5.5](claude-haiku-5-5.md), [LongCat 2.0 (1.6T-A48B)](longcat-2-0.md), [Muse Glimmer 30B](muse-glimmer-30b.md) here, though they rank higher overall. Trails [Gemma 4 12B](gemma-4-12b.md), [Gemma 4 26B-A4B](gemma-4-26b-a4b.md), [Nemotron Cascade 2 30B-A3B](nemotron-cascade-2-30b-a3b.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
LMArena (text) 1432.9 ▁▁▁▂▃▃▃▆▆▇●▃ beats 290/385 avg 1260 8.5% blunt
math · #117 of 431 · 39% of its score
Beats [Claude Sonnet 4.6](claude-sonnet-4-6.md), [MiniMax-M3](minimax-m3.md), [MiMo-V2.5 (310B-A15B)](mimo-v2-5.md) here, though they rank higher overall. Trails [Olmo 3.1 32B Think](olmo-3-1-32b-think.md), [gpt-oss-120b](gpt-oss-120b.md), [Qwen3-VL 32B Thinking](qwen3-vl-32b-thinking.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
FrontierMath tiers 1–3 v2 27.7% ▂··▁▁▃●▄█▆▄▃ beats 19/86 very hard · avg 1.2% 32% sharp · at its level
OTIS mock AIME 2024–2025 80.0% ▃▃▄▃▃▃▇●█▃▂▅ beats 115/197 very hard · avg 7.2% 5.0% sharp · noisy
MathConstraint full release, no t… 24.9% ▄··▄●·▄▄█▄·▄ beats 2/8 very hard · avg 11% 1.8% at its level
vision & documents · #64 of 153 · 18% of its score
Beats [DeepSeek V4 Flash Vision (Exp)](deepseek-v4-flash-vision-exp.md), [GPT-5](gpt-5.md), [MiniMax-M3](minimax-m3.md) here, though they rank higher overall. Trails [Gemma 4 26B-A4B](gemma-4-26b-a4b.md), [Qwen3.6 Flash](qwen3-6-flash.md), [Qwen3.5 35B-A3B](qwen3-5-35b-a3b.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
CharXiv (reasoning questions) (ma… 73.2% ▃·▃·▃●▃·▃▃█▅ beats 3/11 medium · avg 38% 12% at its level
Arena vision (style controlled) 1234.6 ▁▁▂▂▂▂▃▄▅●█▇ beats 93/152 avg 1061 5.7% blunt
web search · #79 of 84 · 3.9% of its score
Trails [GPT-4.1 nano](gpt-4-1-nano-2025-04-14.md), [GPT-4o mini (2024-07-18)](gpt-4o-mini-2024-07-18.md), [Mistral Small 3.1 24B (2503)](mistral-small-3-1.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
K-BrowseComp-Verified (Korean web… 11.3% ▃····●··▃█·▃ beats 2/8 very hard · avg 3.6% 3.9% typical
other tests (3)
test result vs the others in its run difficulty counts why
GPQA Diamond 81.8% ▁▁▁▁▂▄▆▄▅●█▅ beats 130/211 hard · avg 39% 12% sharp · at its level
Chess Puzzles (Epoch) 20.0% █▁▁▁▁▂●▃▃▂▁▁ beats 82/137 very hard · avg 5.8% 3.5% sharp · noisy
Vectara hallucination leaderboard… 91.8% ▁▂▁▂▅█●▃▄▃▁▁ beats 61/98 very easy · avg 90% 0.0% blunt
source results share of the score
Epoch AI 4 52% ▇▇▇▇▇▇
LMArena leaderboard dataset 3 29% ▇▇▇▇
Google DeepMind Gemini model page and m… 1 12% ▇
K-BrowseComp: A Web Browsing Agent Benc… 1 4% ▇
MathConstraint: Automated Generation of… 1 2% ▇
Vectara hallucination leaderboard 1 0% ▇
prior: pull toward the middle 0% ▇
weighted average = 66.1
Licences: Epoch AI ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · LMArena leaderboard dataset ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · K-BrowseComp: A Web Browsing Agent Benchmark Grounded in Korean Contexts ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · MathConstraint: Automated Generation of Verified Combinatorial Reasoning Instances for LLMs ([CC BY 4.0](../../licenses/paper-2605.08498v1-CC-BY-4.0.txt)) · Vectara hallucination leaderboard ([Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0))
## How to run it
### Through an API
api (Google) · $0.56/M blended · $0.25 in / $1.5 out per 1M tokens · [ai.google.dev](https://ai.google.dev/gemini-api/docs/models)
[price source](https://github.com/anomalyco/models.dev/blob/a668908cfe7073faa0363699486fc41a3ff52412/providers/google/models/gemini-3.1-flash-lite.toml): Standard base token rate from models.dev. Provider-specific tiers, long-context surcharges, caching and promotions may differ. · [context source](https://github.com/anomalyco/models.dev/blob/a668908cfe7073faa0363699486fc41a3ff52412/models/google/gemini-3.1-flash-lite.toml)
[interactive version](https://whatmodel.sh/model/gemini-3-1-flash-lite) · [JSON](https://whatmodel.sh/api?format=json&all=1)