Benchmark suiteLatest source data: Jul 16, 2026Checked: July 20, 2026

GPT-5.4 Nano High.

A model-level benchmark profile for GPT-5.4 Nano High, combining Arena category ranks, suite indexes, commercial price and speed data, SWE-bench status, and lab context.

Lab

OpenAI

Proprietary

Coverage

44%

4 of 9 tracked signals

Best Arena rank

#59

Vision Arena

Best suite

#2

Agents / 100

Model profile

Benchmark signal map.

This view treats missing values as coverage gaps, then puts every available score, rank, cost, and speed signal into the same visual hierarchy.

Analyst view

GPT-5.4 Nano High is strongest on agents.

44% coverage

Its best composite result is rank #2 in the agents view, with a 100 agent proxy. The strongest raw Arena signal is Vision Arena at rank #59 with 21,392 public votes.

Best current lane

Agents

#2 / 100 agent proxy

Strongest raw signal

Vision

#59, 1205 score

Commercial posture

$0.463

0.48s first token / 169 tok/s

Coverage gaps

Text ArenaWebDev ArenaSearch ArenaDocument ArenaSWE-bench

Profile completeness

4 of 9 signals matched

44%

Arena categories

1/5

Vision

Commercial match

Live

GPT-5.4 nano (Non-Reasoning)

SWE-bench

Not listed

No confident software benchmark row

Raw identifier

gpt-5.4-nano-high

Reasoning

Performance cockpit

Public benchmark scores

Arena rows show score, public rank, confidence interval, vote count, and publish date. Missing rows stay visible as coverage gaps.

Text Arena

Arena category

Not listed

No confident public Arena row for this category.

Coverage gap

WebDev Arena

Arena category

Not listed

No confident public Arena row for this category.

Coverage gap

Vision Arena

Arena category

1,205#59

1198-1212 CI

21,392 votes

Jul 12, 2026

Arena public leaderboard dataset

Search Arena

Arena category

Not listed

No confident public Arena row for this category.

Coverage gap

Document Arena

Arena category

Not listed

No confident public Arena row for this category.

Coverage gap

SWE-bench Verified

Software issue resolution

Not listed

No confident SWE-bench row matched to this model.

Coverage gap

Cost and speed

Commercial profile

Price, latency, and throughput are only shown when a confident commercial source row is matched.

Blended price

$0.463

USD / 1M tokens

Input price

$0.200

USD / 1M input tokens

Output price

$1.25

USD / 1M output tokens

Latency

0.48s

Median time to first token

Output speed

169 tok/s

Median generation speed

Suite position

Composite ranks by benchmark lens.

These views combine available public signals into purpose-specific indexes. A missing card means the model lacks enough source coverage for that lens.

Lab context

Nearby OpenAI profiles.

Same-lab models make it easier to see whether this profile is a flagship, value play, specialist, or lower-coverage row.

Full lab