GPT-5 (high)
According to BenchLM.ai, GPT-5 (high) ranks #25 out of 119 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 (high) is a proprietary model with a 128K 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 (high) sits inside the GPT-5 family alongside GPT-5 (medium), GPT-5 mini, GPT-5 nano. This profile currently has 18 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 (#7), while its weakest is Coding (#36). 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
#18Coding
#36Reasoning
#18Knowledge
#20Math
#35Multilingual
#22Multimodal
#7Inst. Following
#32Chatbot 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 (high) perform overall in AI benchmarks?
GPT-5 (high) currently ranks #25 out of 119 models on BenchLM's provisional leaderboard with an overall score of 77 (estimated). It is created by OpenAI and features a 128K context window.
Is GPT-5 (high) good for knowledge and understanding?
GPT-5 (high) ranks #20 out of 119 models in knowledge and understanding benchmarks with an average score of 79.2. There are stronger options in this category.
Is GPT-5 (high) good for coding and programming?
GPT-5 (high) ranks #36 out of 119 models in coding and programming benchmarks with an average score of 70.6. There are stronger options in this category.
Is GPT-5 (high) good for reasoning and logic?
GPT-5 (high) ranks #18 out of 119 models in reasoning and logic benchmarks with an average score of 76.6. There are stronger options in this category.
Is GPT-5 (high) good for agentic tool use and computer tasks?
GPT-5 (high) ranks #18 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 76.7. There are stronger options in this category.
Is GPT-5 (high) good for multimodal and grounded tasks?
GPT-5 (high) ranks #7 out of 119 models in multimodal and grounded tasks benchmarks with an average score of 92.3. It is among the top performers in this category.
Is GPT-5 (high) good for instruction following?
GPT-5 (high) ranks #32 out of 119 models in instruction following benchmarks with an average score of 81.1. There are stronger options in this category.
Which sibling models are related to GPT-5 (high)?
GPT-5 (high) belongs to the GPT-5 family. Related variants on BenchLM include GPT-5 (medium), GPT-5 mini, GPT-5 nano.
Does GPT-5 (high) have full benchmark coverage on BenchLM?
Not yet. GPT-5 (high) currently has 18 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 (high)?
GPT-5 (high) has a context window of 128K, which determines how much text it can process in a single interaction.
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