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GPT-5.5 (xhigh)
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OpenAI

GPT-5 nano (high)

GPT-5 nano (high) 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 Speed136 tok/s
First Token102.63s
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 #13 across 325 models.

$0.050/M

Strength: Value

Rank #21 across 323 models.

194.2

Strength: Blended $

Rank #28 across 325 models.

$0.138/M

Watch Area: TTFT

Rank #291 across 293 models.

102.63s

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 Indexoverall26.8#172
Artificial Analysis Coding Indexcoding20.3#192
Artificial Analysis Math Indexmath83.7#53
MMLU-Proreasoning78.0%#142
GPQA
reasoning
67.6%
#222
Humanity's Last Examreasoning8.2%#181
LiveCodeBenchcoding78.9%#32
SciCodecoding, reasoning36.6%#161
Output Speedspeed136 tok/s#73
Time to First Tokenspeed102.63s#291
Blended Pricecost$0.138/M#28
Input Pricecost$0.050/M#13
Output Pricecost$0.400/M#54
Value Indexcost, overall194.2#21