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OpenAI

gpt-oss-20B (low)

gpt-oss-20B (low) 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 Speed249.7 tok/s
First Token0.42s
Blended Price$0.108/M

Model Metadata

Queryable facts extracted from the upstream model payload.

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

Strength: Speed

Rank #8 across 293 models.

249.7 tok/s

Strength: Value

Rank #22 across 323 models.

192.6

Strength: TTFT

Rank #21 across 293 models.

0.42s

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 Indexoverall20.8#229
Artificial Analysis Coding Indexcoding14.4#249
Artificial Analysis Math Indexmath62.3#113
MMLU-Proreasoning71.8%#208
GPQA
reasoning
61.1%
#268
Humanity's Last Examreasoning5.1%#283
LiveCodeBenchcoding65.2%#96
SciCodecoding, reasoning34.0%#203
Output Speedspeed249.7 tok/s#8
Time to First Tokenspeed0.42s#21
Blended Pricecost$0.108/M#24
Input Pricecost$0.070/M#26
Output Pricecost$0.225/M#27
Value Indexcost, overall192.6#22