Phi-4
According to BenchLM.ai, Phi-4 ranks #96 out of 119 models on the provisional leaderboard with an overall score of 28/100. 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.
Phi-4 is a open weight model with a 16K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
This profile currently has 14 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 Multilingual (#79), while its weakest is Agentic (#95). This performance profile makes it a well-rounded choice across a range of tasks.
Ranking Distribution
Category rank across 6 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#95Coding
Reasoning
#91Knowledge
Math
Multilingual
#79Multimodal
#90Inst. Following
Chatbot 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 Phi-4 stacks up against similar models
Frequently Asked Questions
How does Phi-4 perform overall in AI benchmarks?
Phi-4 currently ranks #96 out of 119 models on BenchLM's provisional leaderboard with an overall score of 28 (estimated). It is created by Microsoft and features a 16K context window.
Is Phi-4 good for knowledge and understanding?
Phi-4 has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Phi-4 good for coding and programming?
Phi-4 has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is Phi-4 good for reasoning and logic?
Phi-4 ranks #91 out of 119 models in reasoning and logic benchmarks with an average score of 0. There are stronger options in this category.
Is Phi-4 good for agentic tool use and computer tasks?
Phi-4 ranks #95 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 11.8. There are stronger options in this category.
Is Phi-4 good for instruction following?
Phi-4 has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Is Phi-4 open source?
Yes, Phi-4 is an open weight model created by Microsoft, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does Phi-4 have full benchmark coverage on BenchLM?
Not yet. Phi-4 currently has 14 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 Phi-4?
Phi-4 has a context window of 16K, which determines how much text it can process in a single interaction.
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