GPT-OSS-120B: gPQA Diamond now reports OpenAI’s published launch result of 80.1%; results from different evaluation settings are not interchangeable
Tracker aligns GPQA Diamond reporting with OpenAI’s published launch result
GPQA Diamond now reports OpenAI’s published launch result of 80.1%; results from different evaluation settings are not interchangeable — verified by the OnAirToday AI Progress Tracker against OpenAI's published documentation.
OnAirToday
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The OnAirToday AI Progress Tracker recorded a verified change to OpenAI's GPT-OSS-120B (version gpt-oss-120b): GPQA Diamond now reports OpenAI’s published launch result of 80.1%; results from different evaluation settings are not interchangeable.
GPT-OSS-120B is OpenAI’s open-weight, text-based reasoning model, released under the Apache 2.0 license for customizable and self-hosted deployments. It supports configurable reasoning effort and tool use, with documented deployment on a single 80 GB GPU, but requires application-level safeguards and factual verification.
What changed in this review:
- SWE-bench Verified is included at 62.4%, using OpenAI’s published launch evaluation.
- Token pricing depends on the hosting provider and deployment; no universal model-wide input or output rate applies.
- OpenAI subsequently released gpt-oss-safeguard variants for safety classification; these are distinct from the base gpt-oss-120b reasoning model.
- Flaws and limitations updated
- Risks and threats updated
Teams building on GPT-OSS-120B should confirm limits, pricing and benchmark coverage against the vendor's own documentation before relying on these figures.
The full profile — capabilities, benchmark citations, known flaws and risk guidance — is on the tracker at /ai-models/gpt-oss-120b.
References:
- https://openai.com/index/introducing-gpt-oss/
- https://huggingface.co/openai/gpt-oss-120b
- https://openai.com/index/gpt-oss-model-card/
- https://openai.com/index/introducing-gpt-oss-safeguard/
Generated insight by OnAirToday AI
Reporting the documented launch score gives readers a traceable reference for assessing GPT-OSS-120B. The warning about evaluation settings matters because scores from different setups may not be directly comparable.

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