Ordinal

Which model is worth using

1 Oct 2026

Anthropic

Claude Opus 5.5

Anthropic's current flagship. At max effort it leads the 1 Oct 2026 Intelligence Index at 58. At high effort it is 54, for $1.82 a measured task.

54Index · High
$1.82Per measured task
29.7 pts/$Points / $
74Tokens / sec

Every published effort

SettingIndexPer taskTokens / sec
Max58$5.9892
Extra high56$3.4679
High54$1.8274
Medium51$1.3472
Low42$0.5572

What this workload costs

List price for one call. Reasoning tokens count as output. A cache hit uses the lab’s cache rate when one is published.

Claude Opus 5.5
Cache applied
$0.12

Specs

API id
claude-opus-5-5
Released
22 Sep 2026
Context
1M
Max output
128k
Input / 1M
$4.00
Output / 1M
$20.00
Cache read / 1M
$0.20
Knowledge
Jun 2026
Inputs
Text, Image
Weights
Closed

Cache reads are 5% of input, cheaper than the usual 10%. Batch is half. Fast mode is $8 / $40. US-only inference is 1.1×. The 1M window has no long-context surcharge.

Use it when

Long coding sessions and knowledge work, when you want the highest generally available score on this index. High effort is the setting to buy. Max effort adds a few points and about triples the measured task cost.

Leave it when

High-volume calls, and any job GPT-6.1 Sol or MiMo-V2.6-Pro already does well enough. Opus is the quality pick, not the thrifty one.

Other independent scores

  • Terminal-Bench 4.0: 59.6%. Max effort. A later write-up rounds Opus and Astra to 60%. Artificial Analysis, Opus 5.5 article, 22 Sep 2026.
  • AutomationBench-AA: 70%. Max effort, compared in the Gemini 4 Argon article with Sonnet 5.5 at 71%. Artificial Analysis, 30 Sep 2026.

Sources