Benchmark suiteUpdated May 27, 2026

GPT-5 High.

A model-level benchmark profile for GPT-5 High, combining Arena category ranks, suite indexes, commercial price and speed data, SWE-bench status, and lab context.

OpenAI lab page

Lab

OpenAI

Proprietary

Coverage

56%

5 of 9 tracked signals

Best Arena rank

#49

Vision Arena

Best suite

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 High is strongest on agents.

56% coverage

Its best composite result is rank #3 in the agents view, with a 100 agent proxy. The strongest raw Arena signal is Vision Arena at rank #49 with 35,144 public votes.

Best current lane

Agents

#3 / 100 agent proxy

Strongest raw signal

Vision

#49, 1211 score

Commercial posture

$3.44

0.48s first token / 208 tok/s

Coverage gaps

WebDev ArenaSearch ArenaDocument ArenaSWE-bench

Profile completeness

5 of 9 signals matched

56%

Arena categories

2/5

Vision, Text

Commercial match

Live

GPT-5 (ChatGPT)

SWE-bench

Not listed

No confident software benchmark row

Raw identifier

gpt-5-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

1,434#63

1429-1438 CI

31,947 votes

May 27, 2026

Arena public leaderboard dataset

WebDev Arena

Arena category

Not listed

No confident public Arena row for this category.

Coverage gap

Vision Arena

Arena category

1,211#49

1204-1219 CI

35,144 votes

May 18, 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

$3.44

USD / 1M tokens

Input price

$1.25

USD / 1M input tokens

Output price

$10.00

USD / 1M output tokens

Latency

0.48s

Median time to first token

Output speed

208 tok/s

Median generation speed

Matched source row

GPT-5 (ChatGPT)

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.

Value

Quality, price, latency, and output speed

#4958

value index

blended / 1M tokens$3.44

time to first token0.48s

output speed208 tok/s

Coding

Code Arena, SWE-bench, and output speed

#8020

coding index

Code ArenaNot listed