91.4%
MMLU
Models / Anthropic
Claude Opus · Released 2026-05-28
Anthropic's May 2026 flagship. Tops the Vals Index (70.17%) and the Artificial Analysis Intelligence Index (61.4). SWE-bench Verified 88.6%, Terminal-Bench 2.0 74.6%, 1M-token context, $15 / $75 per 1M tokens.
Front-door model for hard reasoning, long documents, agentic coding, and tool-heavy research. The model we reach for first when a task is too hard for Sonnet but small enough to fit in one prompt.
86average across 10 tested families
Where Claude Opus 4.8 places on each public benchmark source that publishes a row. Rank counts every model with a latest row in the same test — not a universal quality score.
The three highest-scoring carded models in each capability family. Where Claude Opus 4.8 shows up, it's highlighted.
Benchmark rows added to the public ledger for Claude Opus 4.8 in the last 120 days. Older rows live in the full table below.
A high composite that hides a weak family is a trap. These bars surface the families where this model hasn't been publicly tested, and where it leads.
Hover or tab any dot for name, score, and input price.
Every catalog benchmark for Claude Opus 4.8. Scores link to the original source; gaps mean no public row exists yet.
26 of 32 catalog benchmarks have a sourced row for Claude Opus 4.8.
55.7%
AA Intelligence Index v4.1
79.8%
GPQA Diamond accuracy (CoT)
45.7%
HLE (AA run)
62.24%
IFBench (AA run)
70.8%
LiveBench
59%
DeepSWE pass@1 (max effort)
95.8% pass@1
HumanEval
53.5%
SciCode (AA run)
88.6%
SWE-bench Verified
1638
GDPval-AA v2
74.6%
Terminal-Bench 2.0 (audited harness)
70.4%
Vals Index
27.63%
τ³-Bench Banking (AA run)
70.6%
MMMU
58.3%
AA-LCR pass@1
58.4%
LongBench v2
63 t/s
Median output tokens/s (1k prompt, default provider)
30.13s
Median time to first token (1k prompt, default provider)
91.8%
HELM Safety
1462
LMArena Elo (Style Controlled)