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OpenAI

gpt-oss-20B (high)

gpt-oss-20B (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 Speed242.3 tok/s
First Token0.32s
Blended Price$0.100/M

Model Metadata

Queryable facts extracted from the upstream model payload.

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

Strength: TTFT

Rank #7 across 293 models.

0.32s

Strength: Speed

Rank #10 across 293 models.

242.3 tok/s

Strength: Value

Rank #15 across 323 models.

245.0

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 Indexoverall24.5#195
Artificial Analysis Coding Indexcoding18.5#206
Artificial Analysis Math Indexmath89.3#30
MMLU-Proreasoning74.8%#182
GPQA
reasoning
68.8%
#211
Humanity's Last Examreasoning9.8%#155
LiveCodeBenchcoding77.7%#37
SciCodecoding, reasoning34.4%#199
Output Speedspeed242.3 tok/s#10
Time to First Tokenspeed0.32s#7
Blended Pricecost$0.100/M#17
Input Pricecost$0.070/M#25
Output Pricecost$0.200/M#22
Value Indexcost, overall245.0#15