GPT-5.1 Medium.
A model-level benchmark profile for GPT-5.1 Medium, combining Arena category ranks, suite indexes, commercial price and speed data, SWE-bench status, and lab context.
Lab
OpenAI
Proprietary
Coverage
11%
1 of 9 tracked signals
Best Arena rank
#51
WebDev Arena
Best suite
#49
Coding / 54
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-5.1 Medium is strongest on coding.
Its best composite result is rank #49 in the coding view, with a 54 coding index. The strongest raw Arena signal is WebDev Arena at rank #51 with 6,120 public votes.
Best current lane
Coding
#49 / 54 coding index
Strongest raw signal
Code
#51, 1391 score
Commercial posture
No price match
Artificial Analysis row not matched
Coverage gaps
Profile completeness
1 of 9 signals matched
Arena categories
1/5
Code
Commercial match
Missing
No Artificial Analysis match
SWE-bench
Not listed
No confident software benchmark row
Raw identifier
gpt-5.1-medium
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
1382-1401 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
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
Not listed
USD / 1M tokens
Input price
Not listed
USD / 1M input tokens
Output price
Not listed
USD / 1M output tokens
Latency
Not listed
Median time to first token
Output speed
Not listed
Median generation speed
Matched source row
Not listed
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
Not listed
Not enough matched source rows for this composite view.
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
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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