Atlas

Models

← All models

gpt-oss-120b

OpenAI · 2025-08-05 · 116.8B parameters

gpt-oss-120b is the larger of OpenAI's two Apache 2.0-licensed gpt-oss reasoning models, which are the company's first open-weight language models since GPT-2. Its checkpoint contains exactly 116,829,156,672 logical parameters after unpacking MXFP4 weights and excluding quantization scales; OpenAI reports approximately 5.1B active parameters per token. It is a text-only mixture-of-experts model with configurable reasoning effort and training for tool use.

Benchmark scores

BenchmarkScore
AA-Briefcase Elo0.0
AA-Briefcase v1.1 Elo0.0
AA-LCR50.7
AA-LCR v1.152.0
AA-Omniscience Index-49.3
Active Probing Benchmark (APB)13.4
Active Probing Benchmark (Biology)19.2
Active Probing Benchmark (Chemistry)12.5
Active Probing Benchmark (Computer Science)8.3
Active Probing Benchmark (Economics)20.8
Active Probing Benchmark (Human Disease)21.7
Active Probing Benchmark (Mathematics)5.8
Active Probing Benchmark (Philosophy)8.3
Active Probing Benchmark (Physics)10.8
AdvancedIF68.3
AdvancedIF (rubric mean score)90.9
Aider Polyglot41.8
AIME 2024 (avg@8)93.1
AIME 2024-202592.6
AIME 202593.3
AIME 2025 (Artificial Analysis avg@10)93.4
AIME 2025 (avg@8)92.1
AIME 2025 (MathArena repeated-run mean)90.0
ALE-Bench1119
AlgoTune1.4
Apex (MathArena)1.0
APEX (Mercor)3.6
Apex Shortlist45.2
APEX-Accounting2.1
APEX-Accounting Pass@10.0
Loading Atlas data…