gpt-oss-120bOpen Weight

Released

gpt-oss-120b is an AI model released by OpenAI on Tuesday, Aug 5 2025, 56 days after o3-pro. It is an open-weight model — the trained weights are available to download and run. It is a 117B parameter model with a 128k token context window. Benchmark results (shown below) cover MMLU, BullshitBench v2, SWE-Bench Verified, Humanity's Last Exam, and GPQA Diamond.

Available from

Near AI—$0.03$0.15128Kfp4
Venice—$0.03$0.15128Kint4
CoreWeave—$0.03$0.17128Kfp4
DeepInfra—$0.037$0.17128Kbf16
DekaLLM—$0.03$0.18128Kbf16
AkashML—$0.03$0.187128Kbf16
Crusoe—$0.05$0.25128Kbf16
Mancer 2—$0.05$0.25128Kfp8
Novita—$0.05$0.25128Kfp4
DigitalOcean—$0.06$0.42128K—
BaseTen—$0.10$0.50128Kfp4
BaseTenus$0.10$0.50128Kfp4
Amazon Bedrock—$0.15$0.60128K—
Amazon Bedrockeu-west-1$0.15$0.60128K—
Groq—$0.15$0.60128K—
Nebius—$0.15$0.60128Kfp4
Phala—$0.15$0.60128K—
SiliconFlow—$0.15$0.60128Kfp8
Together—$0.15$0.60128K—
Parasail—$0.10$0.75128Kfp4
Mara—$0.15$0.75128K—
Cerebras—$0.35$0.75128Kfp16
SambaNova—$0.14$0.95128K—
USD per 1M tokensEvery price here is for one million tokens. A token is roughly three-quarters of a word, so a million tokens is about 750,000 words of text.Checked October 18, 2026Third-party rates from openrouter.ai, not the lab’s own list price.

Benchmarks

Coding

SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better.
62.4%
#46 of 59

Reasoning & science

MMLUGeneral knowledge — A 57-subject multiple-choice exam — history, law, medicine, maths — that was the standard measure of how much a model knows from 2020 until roughly 2024, when frontier scores crowded into the high 80s and labs moved on to harder tests. The scores here were published years apart under different testing setups, so read them as a historical record rather than a like-for-like ranking. Higher is better.
90%
#1
Humanity's Last ExamMultidisciplinary reasoning — Humanity's Last Exam — extremely hard expert questions across many subjects, written so you can't just look up the answer. “No tools” means the AI answers on its own. Higher is better.
14.9%no tools
19%with tools
no tools
#23 of 24
with tools
#44 of 48
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better.
80.1%
#37 of 61

Robustness

BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better.
12%
#83 of 97

Compare gpt-oss-120b with

gpt-oss-120b

About

gpt-oss-120b, released August 5, 2025 alongside the smaller gpt-oss-20b, was OpenAI's first open-weight language model since GPT-2 in 2019 — six years in which the company that popularised the term "open" shipped nothing downloadable. Both models came under Apache 2.0 with no usage restrictions and no commercial gate. The 120B is a mixture-of-experts design with about 5.1B parameters active per token, sized to fit on a single 80GB accelerator, while the 21B sibling was built to run on a high-end laptop.

The launch figures put it close to OpenAI's own mid-tier closed models: 80.1% on GPQA Diamond and 62.4% on SWE-Bench Verified, 90.0% on MMLU, and 14.9% on Humanity's Last Exam without tools, rising to 19.0% with them. OpenAI framed the release as a response to the Chinese open-weight wave — DeepSeek R1 and Kimi K2 had spent the preceding months setting the pace for freely downloadable models — and shipped it two days before GPT-5, which took the attention.

Frequently asked questions

gpt-oss-120b was released by OpenAI on Tuesday, Aug 5 2025.

All OpenAI releases

47 tracked

2022

1 release