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OpenAI

gpt-oss-120B (high)

gpt-oss-120B (high) is part of OpenAI's gpt-oss open-weight model family, intended for developers who need strong local or self-hosted language-model capability. The local profile is useful for checking how this deployment-friendly model compares with hosted frontier systems on quality, throughput, and pricing assumptions.

Introducing gpt-oss

Operational Metrics

Output Speed212.3 tok/s
First Token0.49s
Blended Price$0.263/M

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseAug 5, 2025
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: LCB

Rank #7 across 343 models.

87.8%

Strength: Math

Rank #15 across 269 models.

93.4

Strength: Speed

Rank #18 across 293 models.

212.3 tok/s

Strength Profile

Percentile score by analysis domain.

* Cost is inverted: lower input, output, and blended prices rank higher.

Benchmark Percentiles

Higher bars mean stronger relative placement.

All Benchmarks

MetricDomainValueRank
Artificial Analysis Intelligence Indexoverall33.3#117
Artificial Analysis Coding Indexcoding28.6#125
Artificial Analysis Math Indexmath93.4#15
MMLU-Proreasoning80.8%#100
GPQA
reasoning
78.2%
#120
Humanity's Last Examreasoning18.5%#77
LiveCodeBenchcoding87.8%#7
SciCodecoding, reasoning38.9%#119
Output Speedspeed212.3 tok/s#18
Time to First Tokenspeed0.49s#42
Blended Pricecost$0.263/M#70
Input Pricecost$0.150/M#66
Output Pricecost$0.600/M#82
Value Indexcost, overall126.6#33