Gemini 1.5 Pro
According to BenchLM.ai, Gemini 1.5 Pro ranks #86 out of 119 models on the provisional leaderboard with an overall score of 35/100. 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 1.5 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.
This profile currently has 6 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 (#41), while its weakest is Instruction Following (#96). 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
#66Coding
#83Reasoning
#50Knowledge
#76Math
#56Multilingual
#77Multimodal
#41Inst. Following
#96Chatbot 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 1.5 Pro stacks up against similar models
Frequently Asked Questions
How does Gemini 1.5 Pro perform overall in AI benchmarks?
Gemini 1.5 Pro currently ranks #86 out of 119 models on BenchLM's provisional leaderboard with an overall score of 35 (estimated). It is created by Google and features a 2M context window.
Is Gemini 1.5 Pro good for knowledge and understanding?
Gemini 1.5 Pro ranks #76 out of 119 models in knowledge and understanding benchmarks with an average score of 35.5. There are stronger options in this category.
Is Gemini 1.5 Pro good for coding and programming?
Gemini 1.5 Pro ranks #83 out of 119 models in coding and programming benchmarks with an average score of 15.5. There are stronger options in this category.
Is Gemini 1.5 Pro good for multimodal and grounded tasks?
Gemini 1.5 Pro ranks #41 out of 119 models in multimodal and grounded tasks benchmarks with an average score of 64.8. There are stronger options in this category.
Does Gemini 1.5 Pro have full benchmark coverage on BenchLM?
Not yet. Gemini 1.5 Pro currently has 6 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 1.5 Pro?
Gemini 1.5 Pro has a context window of 2M, which determines how much text it can process in a single interaction.
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