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OpenAI

GPT-5 nano (medium)

GPT-5 nano (medium) 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 Speed150.3 tok/s
First Token45.91s
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 #14 across 325 models.

$0.050/M

Strength: Value

Rank #23 across 323 models.

187.7

Strength: Blended $

Rank #29 across 325 models.

$0.138/M

Watch Area: TTFT

Rank #285 across 293 models.

45.91s

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 Indexoverall25.9#179
Artificial Analysis Coding Indexcoding22.9#170
Artificial Analysis Math Indexmath78.3#72
MMLU-Proreasoning77.2%#154
GPQA
reasoning
67.0%
#229
Humanity's Last Examreasoning7.6%#195
LiveCodeBenchcoding76.3%#46
SciCodecoding, reasoning33.8%#204
Output Speedspeed150.3 tok/s#57
Time to First Tokenspeed45.91s#285
Blended Pricecost$0.138/M#29
Input Pricecost$0.050/M#14
Output Pricecost$0.400/M#55
Value Indexcost, overall187.7#23