GPT-5 (medium)
According to BenchLM.ai, GPT-5 (medium) ranks #36 out of 119 models on the provisional leaderboard with an overall score of 70/100. 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.
GPT-5 (medium) 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 (medium) sits inside the GPT-5 family alongside GPT-5 (high), GPT-5 mini, GPT-5 nano. This profile currently has 17 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 (#8), while its weakest is Instruction Following (#40). 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
#24Coding
#23Reasoning
#21Knowledge
#31Math
#12Multilingual
#13Multimodal
#8Inst. Following
#40Chatbot 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 (medium) perform overall in AI benchmarks?
GPT-5 (medium) currently ranks #36 out of 119 models on BenchLM's provisional leaderboard with an overall score of 70 (estimated). It is created by OpenAI and features a 128K context window.
Is GPT-5 (medium) good for knowledge and understanding?
GPT-5 (medium) ranks #31 out of 119 models in knowledge and understanding benchmarks with an average score of 73.5. There are stronger options in this category.
Is GPT-5 (medium) good for coding and programming?
GPT-5 (medium) ranks #23 out of 119 models in coding and programming benchmarks with an average score of 78.3. There are stronger options in this category.
Is GPT-5 (medium) good for reasoning and logic?
GPT-5 (medium) ranks #21 out of 119 models in reasoning and logic benchmarks with an average score of 73.7. There are stronger options in this category.
Is GPT-5 (medium) good for agentic tool use and computer tasks?
GPT-5 (medium) ranks #24 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 69.5. There are stronger options in this category.
Is GPT-5 (medium) good for multimodal and grounded tasks?
GPT-5 (medium) ranks #8 out of 119 models in multimodal and grounded tasks benchmarks with an average score of 89.6. It is among the top performers in this category.
Is GPT-5 (medium) good for instruction following?
GPT-5 (medium) ranks #40 out of 119 models in instruction following benchmarks with an average score of 76.9. There are stronger options in this category.
Which sibling models are related to GPT-5 (medium)?
GPT-5 (medium) belongs to the GPT-5 family. Related variants on BenchLM include GPT-5 (high), GPT-5 mini, GPT-5 nano.
Does GPT-5 (medium) have full benchmark coverage on BenchLM?
Not yet. GPT-5 (medium) currently has 17 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 (medium)?
GPT-5 (medium) has a context window of 128K, which determines how much text it can process in a single interaction.
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