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.
Lab
OpenAI
Proprietary
Coverage
56%
5 of 9 tracked signals
Best Arena rank
#56
Vision Arena
Best suite
#3
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.
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 #56 with 34,653 public votes.
Best current lane
Agents
#3 / 100 agent proxy
Strongest raw signal
Vision
#56, 1211 score
Commercial posture
$3.44
0.54s first token / 164 tok/s
Coverage gaps
Profile completeness
5 of 9 signals matched
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
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
1429-1438 CI
WebDev Arena
Arena category
Not listed
No confident public Arena row for this category.
Coverage gap
Vision Arena
Arena category
1204-1219 CI
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
0.54s
Median time to first token
Output speed
164 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
value index
Coding
Code Arena, SWE-bench, and output speed
coding index
Agents
Search, documents, code, and latency
agent proxy
Reasoning
Text, documents, vision, and mode signal
reasoning proxy
Long context
Document, search, and text benchmark proxy
context proxy
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.
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Coverage
56%
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#3
Coverage
11%
GPT-5.5 High
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Coverage
78%
GPT-5.5
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Best rank
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Coverage
78%
GPT-5.4
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Best rank
#12
Coverage
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Best rank
#13
Coverage
33%
GPT-5.2 Chat Latest 20260210
gpt-5.2-chat-latest-20260210
Best rank
#14
Coverage
22%
GPT-5.4 Search
gpt-5.4-search
Best rank
#14
Coverage
11%