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A model-level benchmark profile for O3 Mini, 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
#174
Text Arena
Best suite
#41
Agents / 93
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 #41 in the agents view, with a 93 agent proxy. The strongest raw Arena signal is Text Arena at rank #174 with 57,342 public votes.
Best current lane
Agents
#41 / 93 agent proxy
Strongest raw signal
Text
#174, 1348 score
Commercial posture
$1.93
7.10s first token / 196 tok/s
Coverage gaps
Profile completeness
Arena categories
1/5
Text
Commercial match
Live
o3-mini
SWE-bench
Not listed
No confident software benchmark row
Raw identifier
o3-mini
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
1344-1351 CI
WebDev Arena
Arena category
Not listed
No confident public Arena row for this category.
Coverage gap
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
Price, latency, and throughput are only shown when a confident commercial source row is matched.
Blended price
$1.93
USD / 1M tokens
Input price
$1.10
USD / 1M input tokens
Output price
$4.40
USD / 1M output tokens
Latency
7.10s
Median time to first token
Output speed
196 tok/s
Median generation speed
Matched source row
o3-miniSuite 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
reasoning proxy
Long context
Document, search, and text benchmark proxy
context proxy
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 High
gpt-5.5-high
Best rank
#9
Coverage
78%
GPT-5.4 Search
gpt-5.4-search
Best rank
#9
Coverage
11%
GPT-5.5
gpt-5.5
Best rank
#10
Coverage
78%
GPT-5.4 High
gpt-5.4-high
Best rank
#10
Coverage
33%
GPT-5.4
gpt-5.4
Best rank
#11
Coverage
78%
GPT-5.5 Instant
gpt-5.5-instant
Best rank
#14
Coverage
44%
GPT-5.2 Chat Latest 20260210
gpt-5.2-chat-latest-20260210
Best rank
#14
Coverage
22%