Gemini 3 Flash
According to BenchLM.ai, Gemini 3 Flash ranks #58 out of 119 models on the provisional leaderboard with an overall score of 56/100. 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 Flash 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 20 of 225 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 Multimodal & Grounded (#23), while its weakest is Knowledge (#63). This performance profile makes it particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
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
#50Coding
#58Reasoning
#30Knowledge
#63Math
#48Multilingual
#45Multimodal
#23Inst. Following
#53Chatbot 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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See how Gemini 3 Flash stacks up against similar models
Frequently Asked Questions
How does Gemini 3 Flash perform overall in AI benchmarks?
Gemini 3 Flash currently ranks #58 out of 119 models on BenchLM's provisional leaderboard with an overall score of 56 (estimated). It is created by Google and features a 1M context window.
Is Gemini 3 Flash good for knowledge and understanding?
Gemini 3 Flash ranks #63 out of 119 models in knowledge and understanding benchmarks with an average score of 46.2. There are stronger options in this category.
Is Gemini 3 Flash good for coding and programming?
Gemini 3 Flash ranks #58 out of 119 models in coding and programming benchmarks with an average score of 47.9. There are stronger options in this category.
Is Gemini 3 Flash good for reasoning and logic?
Gemini 3 Flash ranks #30 out of 119 models in reasoning and logic benchmarks with an average score of 65.5. There are stronger options in this category.
Is Gemini 3 Flash good for agentic tool use and computer tasks?
Gemini 3 Flash ranks #50 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 46.1. There are stronger options in this category.
Is Gemini 3 Flash good for multimodal and grounded tasks?
Gemini 3 Flash ranks #23 out of 119 models in multimodal and grounded tasks benchmarks with an average score of 72.3. There are stronger options in this category.
Is Gemini 3 Flash good for instruction following?
Gemini 3 Flash ranks #53 out of 119 models in instruction following benchmarks with an average score of 66.9. There are stronger options in this category.
Does Gemini 3 Flash have full benchmark coverage on BenchLM?
Not yet. Gemini 3 Flash currently has 20 published benchmark scores out of the 225 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 Flash?
Gemini 3 Flash has a context window of 1M, which determines how much text it can process in a single interaction.
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