GPT-5.2
According to BenchLM.ai, GPT-5.2 ranks #22 out of 119 models on the provisional leaderboard with an overall score of 79/100. 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.
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 28 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 Knowledge (#7), while its weakest is Agentic (#31). 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
#31Coding
#19Reasoning
#12Knowledge
#7Math
#22Multilingual
#7Multimodal
#15Inst. Following
#21Chatbot 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 #22 out of 119 models on BenchLM's provisional leaderboard with an overall score of 79. It is created by OpenAI and features a 400K context window.
Is GPT-5.2 good for knowledge and understanding?
GPT-5.2 ranks #7 out of 119 models in knowledge and understanding benchmarks with an average score of 91.5. It is among the top performers in this category.
Is GPT-5.2 good for coding and programming?
GPT-5.2 ranks #19 out of 119 models in coding and programming benchmarks with an average score of 79.7. There are stronger options in this category.
Is GPT-5.2 good for reasoning and logic?
GPT-5.2 ranks #12 out of 119 models in reasoning and logic benchmarks with an average score of 83.9. There are stronger options in this category.
Is GPT-5.2 good for agentic tool use and computer tasks?
GPT-5.2 ranks #31 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 60.9. There are stronger options in this category.
Is GPT-5.2 good for multimodal and grounded tasks?
GPT-5.2 ranks #15 out of 119 models in multimodal and grounded tasks benchmarks with an average score of 81.9. There are stronger options in this category.
Is GPT-5.2 good for instruction following?
GPT-5.2 ranks #21 out of 119 models in instruction following benchmarks with an average score of 85.2. 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 28 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 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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