GPT-OSS 120B
According to BenchLM.ai, GPT-OSS 120B ranks #87 out of 119 models on the provisional leaderboard with an overall score of 34/100. 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 120B 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 120B sits inside the GPT-OSS family alongside GPT-OSS 20B. This profile currently has 19 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 (#65), while its weakest is Instruction Following (#94). This performance profile makes it particularly useful for coding agents, browser research, and computer-use 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
#65Coding
#75Reasoning
#70Knowledge
#65Math
#73Multilingual
#71Multimodal
#89Inst. Following
#94Chatbot 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.
Compare This Model
See how GPT-OSS 120B stacks up against similar models
Frequently Asked Questions
How does GPT-OSS 120B perform overall in AI benchmarks?
GPT-OSS 120B currently ranks #87 out of 119 models on BenchLM's provisional leaderboard with an overall score of 34 (estimated). It is created by OpenAI and features a 128K context window.
Is GPT-OSS 120B good for knowledge and understanding?
GPT-OSS 120B ranks #65 out of 119 models in knowledge and understanding benchmarks with an average score of 44.7. There are stronger options in this category.
Is GPT-OSS 120B good for coding and programming?
GPT-OSS 120B ranks #75 out of 119 models in coding and programming benchmarks with an average score of 21.9. There are stronger options in this category.
Is GPT-OSS 120B good for reasoning and logic?
GPT-OSS 120B ranks #70 out of 119 models in reasoning and logic benchmarks with an average score of 30. There are stronger options in this category.
Is GPT-OSS 120B good for agentic tool use and computer tasks?
GPT-OSS 120B ranks #65 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 34.9. There are stronger options in this category.
Is GPT-OSS 120B good for instruction following?
GPT-OSS 120B ranks #94 out of 119 models in instruction following benchmarks with an average score of 38.6. There are stronger options in this category.
Is GPT-OSS 120B open source?
Yes, GPT-OSS 120B 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 120B?
GPT-OSS 120B belongs to the GPT-OSS family. Related variants on BenchLM include GPT-OSS 20B.
Does GPT-OSS 120B have full benchmark coverage on BenchLM?
Not yet. GPT-OSS 120B currently has 19 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 120B?
GPT-OSS 120B has a context window of 128K, which determines how much text it can process in a single interaction.
Related Resources
Don't miss the next GPT moment
Which models moved up, what’s new, and what it costs. One email a week, 3-min read.
Free. One email per week.