Gemini 3 Pro
According to BenchLM.ai, Gemini 3 Pro ranks #20 out of 119 models on the provisional leaderboard with an overall score of 81/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. This places it in the mid-tier of AI models, with strengths in specific benchmark categories.
Gemini 3 Pro is a proprietary model with a 2M token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
Gemini 3 Pro sits inside the Gemini 3 Pro family alongside Gemini 3 Pro Deep Think. This profile currently has 26 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 Reasoning (#14), while its weakest is Instruction Following (#34). 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
#21Coding
#34Reasoning
#14Knowledge
#14Math
#23Multilingual
#20Multimodal
#16Inst. Following
#34Chatbot 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 Pro stacks up against similar models
Frequently Asked Questions
How does Gemini 3 Pro perform overall in AI benchmarks?
Gemini 3 Pro currently ranks #20 out of 119 models on BenchLM's provisional leaderboard with an overall score of 81. It is created by Google and features a 2M context window.
Is Gemini 3 Pro good for knowledge and understanding?
Gemini 3 Pro ranks #14 out of 119 models in knowledge and understanding benchmarks with an average score of 82.6. There are stronger options in this category.
Is Gemini 3 Pro good for coding and programming?
Gemini 3 Pro ranks #34 out of 119 models in coding and programming benchmarks with an average score of 72.8. There are stronger options in this category.
Is Gemini 3 Pro good for reasoning and logic?
Gemini 3 Pro ranks #14 out of 119 models in reasoning and logic benchmarks with an average score of 82.4. There are stronger options in this category.
Is Gemini 3 Pro good for agentic tool use and computer tasks?
Gemini 3 Pro ranks #21 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 72.1. There are stronger options in this category.
Is Gemini 3 Pro good for multimodal and grounded tasks?
Gemini 3 Pro ranks #16 out of 119 models in multimodal and grounded tasks benchmarks with an average score of 81.5. There are stronger options in this category.
Is Gemini 3 Pro good for instruction following?
Gemini 3 Pro ranks #34 out of 119 models in instruction following benchmarks with an average score of 79.9. There are stronger options in this category.
Which sibling models are related to Gemini 3 Pro?
Gemini 3 Pro belongs to the Gemini 3 Pro family. Related variants on BenchLM include Gemini 3 Pro Deep Think.
Does Gemini 3 Pro have full benchmark coverage on BenchLM?
Not yet. Gemini 3 Pro currently has 26 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 Pro?
Gemini 3 Pro has a context window of 2M, which determines how much text it can process in a single interaction.
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