GPT-5.6 Terra xHigh.
A model-level benchmark profile for GPT-5.6 Terra xHigh, combining Arena category ranks, suite indexes, commercial price and speed data, SWE-bench status, and lab context.
Lab
OpenAI
Proprietary
Coverage
78%
7 of 9 tracked signals
Best Arena rank
#9
Document Arena
Best suite
#18
Value / 68
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-5.6 Terra xHigh is strongest on value.
Its best composite result is rank #18 in the value view, with a 68 value index. The strongest raw Arena signal is Document Arena at rank #9 with 1,969 public votes.
Best current lane
Value
#18 / 68 value index
Strongest raw signal
Docs
#9, 1482 score
Commercial posture
$4.50
2.56s first token / 96 tok/s
Coverage gaps
Profile completeness
7 of 9 signals matched
Arena categories
4/5
Docs, Code, Vision, Text
Commercial match
Live
GPT-5.6 Terra (high)
SWE-bench
Not listed
No confident software benchmark row
Raw identifier
gpt-5.6-terra-xhigh
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
1461-1471 CI
WebDev Arena
Arena category
1511-1529 CI
Vision Arena
Arena category
1257-1275 CI
Search Arena
Arena category
Not listed
No confident public Arena row for this category.
Coverage gap
Document Arena
Arena category
1469-1495 CI
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
$4.50
USD / 1M tokens
Input price
$2.00
USD / 1M input tokens
Output price
$12.00
USD / 1M output tokens
Latency
2.56s
Median time to first token
Output speed
96 tok/s
Median generation speed
Matched source row
GPT-5.6 Terra (high)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.
GPT-5.6 Sol xHigh
gpt-5.6-sol-xhigh
Best rank
#1
Coverage
89%
GPT-5.5 Search
gpt-5.5-search
Best rank
#3
Coverage
11%
GPT-5.5
gpt-5.5
Best rank
#11
Coverage
56%
GPT-5.5 High
gpt-5.5-high
Best rank
#13
Coverage
56%
GPT-5.4 Search
gpt-5.4-search
Best rank
#14
Coverage
11%
GPT-5.4
gpt-5.4
Best rank
#16
Coverage
56%
GPT-5.6 Luna xHigh
gpt-5.6-luna-xhigh
Best rank
#17
Coverage
78%
O3 Search
o3-search
Best rank
#18
Coverage
11%