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OpenAI

GPT-5 nano (minimal)

GPT-5 nano (minimal) is an OpenAI GPT-5 family model, positioned around stronger reasoning, coding, factuality, and agentic work than earlier GPT generations. This profile keeps the release context separate from the local Artificial Analysis measurements so you can compare the specific reasoning tier on benchmark quality, speed, and cost.

Introducing GPT-5

Operational Metrics

Output Speed139.1 tok/s
First Token0.76s
Blended Price$0.138/M

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseAug 7, 2025
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: Input $

Rank #15 across 325 models.

$0.050/M

Strength: Blended $

Rank #30 across 325 models.

$0.138/M

Strength: Value

Rank #47 across 323 models.

100.0

Watch Area: HLE

Rank #396 across 474 models.

4.1%

Watch Area: MMLU-Pro

Rank #283 across 345 models.

55.6%

Watch Area: GPQA

Rank #374 across 478 models.

42.8%

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 Indexoverall13.8#348
Artificial Analysis Coding Indexcoding14.2#252
Artificial Analysis Math Indexmath27.3#190
MMLU-Proreasoning55.6%#283
GPQA
reasoning
42.8%
#374
Humanity's Last Examreasoning4.1%#396
LiveCodeBenchcoding47.0%#159
SciCodecoding, reasoning29.1%#259
Output Speedspeed139.1 tok/s#68
Time to First Tokenspeed0.76s#97
Blended Pricecost$0.138/M#30
Input Pricecost$0.050/M#15
Output Pricecost$0.400/M#56
Value Indexcost, overall100.0#47