GPT-5.2
According to BenchLM.ai, GPT-5.2 ranks #12 out of 110 models on the provisional leaderboard with an overall score of 83/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. This places it in the upper tier of AI models, with competitive scores across most benchmark categories.
GPT-5.2 is a proprietary model with a 400K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
GPT-5.2 sits inside the GPT-5.2 family alongside GPT-5.2 Instant, GPT-5.2 Pro. This profile currently has 10 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 Knowledge (#6), while its weakest is Agentic (#26). This performance profile makes it particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
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
#26Coding
#11Reasoning
#11Knowledge
#6Math
#18Multilingual
#7Multimodal
#16Inst. Following
#20Chatbot 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 GPT-5.2 perform overall in AI benchmarks?
GPT-5.2 currently ranks #12 out of 110 models on BenchLM's provisional leaderboard with an overall score of 83. It is created by OpenAI and features a 400K context window.
Is GPT-5.2 good for knowledge and understanding?
GPT-5.2 ranks #6 out of 110 models in knowledge and understanding benchmarks with an average score of 92.7. It is among the top performers in this category.
Is GPT-5.2 good for coding and programming?
GPT-5.2 ranks #11 out of 110 models in coding and programming benchmarks with an average score of 83. There are stronger options in this category.
Is GPT-5.2 good for reasoning and logic?
GPT-5.2 ranks #11 out of 110 models in reasoning and logic benchmarks with an average score of 85.1. There are stronger options in this category.
Is GPT-5.2 good for agentic tool use and computer tasks?
GPT-5.2 ranks #26 out of 110 models in agentic tool use and computer tasks benchmarks with an average score of 65.2. There are stronger options in this category.
Is GPT-5.2 good for multimodal and grounded tasks?
GPT-5.2 ranks #16 out of 110 models in multimodal and grounded tasks benchmarks with an average score of 86.3. There are stronger options in this category.
Which sibling models are related to GPT-5.2?
GPT-5.2 belongs to the GPT-5.2 family. Related variants on BenchLM include GPT-5.2 Instant, GPT-5.2 Pro.
Does GPT-5.2 have full benchmark coverage on BenchLM?
Not yet. GPT-5.2 currently has 10 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 GPT-5.2?
GPT-5.2 has a context window of 400K, which determines how much text it can process in a single interaction.
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