GPT-5.2-Codex
According to BenchLM.ai, GPT-5.2-Codex ranks #24 out of 115 models on the provisional leaderboard with an overall score of 77/100. 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-Codex 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.
This profile currently has 1 of 193 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 Mathematics (#3), while its weakest is Knowledge (#21). This performance profile makes it particularly strong for mathematical reasoning, scientific computing, and quantitative analysis.
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
Coding
#21Reasoning
#10Knowledge
#21Math
#3Multilingual
#10Multimodal
#11Inst. Following
#10Chatbot 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-Codex perform overall in AI benchmarks?
GPT-5.2-Codex currently ranks #24 out of 115 models on BenchLM's provisional leaderboard with an overall score of 77 (estimated). It is created by OpenAI and features a 400K context window.
Is GPT-5.2-Codex good for coding and programming?
GPT-5.2-Codex ranks #21 out of 115 models in coding and programming benchmarks with an average score of 79.5. There are stronger options in this category.
Does GPT-5.2-Codex have full benchmark coverage on BenchLM?
Not yet. GPT-5.2-Codex currently has 1 published benchmark scores out of the 193 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-Codex?
GPT-5.2-Codex has a context window of 400K, which determines how much text it can process in a single interaction.
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