Claude Opus 4.8.
A model-level benchmark profile for Claude Opus 4.8, combining Arena category ranks, suite indexes, commercial price and speed data, SWE-bench status, and lab context.
Lab
Anthropic
Proprietary
Coverage
89%
8 of 9 tracked signals
Best Arena rank
#7
Document Arena
Best suite
#36
Coding / 64
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
Claude Opus 4.8 is strongest on coding.
Its best composite result is rank #36 in the coding view, with a 64 coding index. The strongest raw Arena signal is Document Arena at rank #7 with 7,874 public votes.
Best current lane
Coding
#36 / 64 coding index
Strongest raw signal
Docs
#7, 1480 score
Commercial posture
$10.00
46.5s first token / 63 tok/s
Coverage gaps
Profile completeness
8 of 9 signals matched
Arena categories
5/5
Docs, Search, Code, Vision, Text
Commercial match
Live
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)
SWE-bench
Not listed
No confident software benchmark row
Raw identifier
claude-opus-4-8
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
1468-1479 CI
WebDev Arena
Arena category
1530-1547 CI
Vision Arena
Arena category
1271-1287 CI
Search Arena
Arena category
1190-1202 CI
Document Arena
Arena category
1472-1489 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
$10.00
USD / 1M tokens
Input price
$5.00
USD / 1M input tokens
Output price
$25.00
USD / 1M output tokens
Latency
46.5s
Median time to first token
Output speed
63 tok/s
Median generation speed
Matched source row
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)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 Anthropic profiles.
Same-lab models make it easier to see whether this profile is a flagship, value play, specialist, or lower-coverage row.
Claude Fable 5
claude-fable-5
Best rank
#1
Coverage
89%
Claude Opus 4.7
claude-opus-4-7
Best rank
#2
Coverage
67%
Claude Opus 4.6 Thinking
claude-opus-4-6-thinking
Best rank
#2
Coverage
56%
Claude Opus 4.7 Thinking
claude-opus-4-7-thinking
Best rank
#2
Coverage
44%
Claude Opus 4.6 Search
claude-opus-4-6-search
Best rank
#3
Coverage
11%
Claude Opus 4.6
claude-opus-4-6
Best rank
#4
Coverage
67%
Claude Opus 4.8 Thinking
claude-opus-4-8-thinking
Best rank
#5
Coverage
44%
Claude Sonnet 4.6 Search
claude-sonnet-4-6-search
Best rank
#8
Coverage
11%