Gemini 3.1 Flash-Lite
According to BenchLM.ai, Gemini 3.1 Flash-Lite ranks #61 out of 110 models on the provisional leaderboard with an overall score of 51/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
Gemini 3.1 Flash-Lite is a proprietary model with a 1M token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
This profile currently has 1 of 152 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Reasoning (#38), while its weakest is Instruction Following (#80). This performance profile makes it particularly strong for complex reasoning, multi-step problem solving, and analytical tasks.
Ranking Distribution
Category rank across 8 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#53Coding
#62Reasoning
#38Knowledge
#67Math
#58Multilingual
#72Multimodal
#51Inst. Following
#80Chatbot Arena Performance
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
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Frequently Asked Questions
How does Gemini 3.1 Flash-Lite perform overall in AI benchmarks?
Gemini 3.1 Flash-Lite currently ranks #61 out of 110 models on BenchLM's provisional leaderboard with an overall score of 51 (estimated). It is created by Google and features a 1M context window.
Is Gemini 3.1 Flash-Lite good for multimodal and grounded tasks?
Gemini 3.1 Flash-Lite ranks #51 out of 110 models in multimodal and grounded tasks benchmarks with an average score of 62.7. There are stronger options in this category.
Does Gemini 3.1 Flash-Lite have full benchmark coverage on BenchLM?
Not yet. Gemini 3.1 Flash-Lite currently has 1 published benchmark scores out of the 152 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Gemini 3.1 Flash-Lite?
Gemini 3.1 Flash-Lite has a context window of 1M, which determines how much text it can process in a single interaction.
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