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Thoughts on AI, technology, and the future we're building.
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A model-level benchmark profile for GPT-5.2 Codex, 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
#57
WebDev Arena
Best suite
#31
Coding / 64
Model profile
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
Its best composite result is rank #31 in the coding view, with a 64 coding index. The strongest raw Arena signal is WebDev Arena at rank #57 with 7,766 public votes.
Best current lane
Coding
#31 / 64 coding index
Strongest raw signal
Code
#57, 1335 score
Commercial posture
$4.81
2.43s first token / 108 tok/s
Coverage gaps
Profile completeness
Arena categories
1/5
Code
Commercial match
Live
GPT-5.2 Codex (xhigh)
SWE-bench
#7
bash-only
Raw identifier
gpt-5.2-codex
Performance cockpit
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
1327-1342 CI
Vision Arena
Arena category
Not listed
No confident public Arena row for this category.
Coverage gap
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
bash-only
Cost and speed
Price, latency, and throughput are only shown when a confident commercial source row is matched.
Blended price
$4.81
USD / 1M tokens
Input price
$1.75
USD / 1M input tokens
Output price
$14.00
USD / 1M output tokens
Latency
2.43s
Median time to first token
Output speed
108 tok/s
Median generation speed
Matched source row
GPT-5.2 Codex (xhigh)Suite position
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
Not listed
Not enough matched source rows for this composite view.
Long context
Document, search, and text benchmark proxy
Not listed
Not enough matched source rows for this composite view.
Lab context
Same-lab models make it easier to see whether this profile is a flagship, value play, specialist, or lower-coverage row.
GPT-5.5 Search
gpt-5.5-search
Best rank
#1
Coverage
11%
GPT-5.5
gpt-5.5
Best rank
#7
Coverage
67%
GPT-5.5 High
gpt-5.5-high
Best rank
#8
Coverage
67%
GPT-5.2 Chat Latest 20260210
gpt-5.2-chat-latest-20260210
Best rank
#8
Coverage
22%
GPT-5.4 High
gpt-5.4-high
Best rank
#9
Coverage
33%
GPT-5.4 Search
gpt-5.4-search
Best rank
#9
Coverage
11%
GPT-5.5 xHigh
gpt-5.5-xhigh (codex-harness)
Best rank
#11
Coverage
11%
GPT-5.5 Instant
gpt-5.5-instant
Best rank
#13
Coverage
33%
