GPT-OSS 20B
According to BenchLM.ai, GPT-OSS 20B ranks #114 out of 119 models on the provisional leaderboard with an overall score of 17/100. 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-OSS 20B is a open weight model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
GPT-OSS 20B sits inside the GPT-OSS family alongside GPT-OSS 120B. 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 Agentic (#80), while its weakest is Multimodal & Grounded (#104). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.
Ranking Distribution
Category rank across 7 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#80Coding
#87Reasoning
#88Knowledge
#102Math
#85Multilingual
#91Multimodal
#104Inst. Following
#119Chatbot 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-OSS 20B perform overall in AI benchmarks?
GPT-OSS 20B currently ranks #114 out of 119 models on BenchLM's provisional leaderboard with an overall score of 17 (estimated). It is created by OpenAI and features a 128K context window.
Is GPT-OSS 20B good for knowledge and understanding?
GPT-OSS 20B ranks #102 out of 119 models in knowledge and understanding benchmarks with an average score of 6. There are stronger options in this category.
Is GPT-OSS 20B good for coding and programming?
GPT-OSS 20B ranks #87 out of 119 models in coding and programming benchmarks with an average score of 9.9. There are stronger options in this category.
Is GPT-OSS 20B good for reasoning and logic?
GPT-OSS 20B ranks #88 out of 119 models in reasoning and logic benchmarks with an average score of 11.6. There are stronger options in this category.
Is GPT-OSS 20B good for agentic tool use and computer tasks?
GPT-OSS 20B ranks #80 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 21.4. There are stronger options in this category.
Is GPT-OSS 20B good for instruction following?
GPT-OSS 20B ranks #119 out of 119 models in instruction following benchmarks with an average score of 0. There are stronger options in this category.
Is GPT-OSS 20B open source?
Yes, GPT-OSS 20B is an open weight model created by OpenAI, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to GPT-OSS 20B?
GPT-OSS 20B belongs to the GPT-OSS family. Related variants on BenchLM include GPT-OSS 120B.
Does GPT-OSS 20B have full benchmark coverage on BenchLM?
Not yet. GPT-OSS 20B 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-OSS 20B?
GPT-OSS 20B has a context window of 128K, which determines how much text it can process in a single interaction.
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