WeSearch
Claude Opus 5.5 Intelligence, Performance and Price Analysis

Claude Opus 5.5 Intelligence, Performance and Price Analysis

·17 min read · 0 reactions · 0 comments · 0 views
More from Hacker News (Front Page) programming Compare coverage Trending Talk Blindspots Daily Sources Live wire
TL;DR · WeSearch summary

The model supports text and image input, outputs text, and has a 1M tokens context window.Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) scores 58 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 25). See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.Open WeightsIndicates whether the model weights are available. Elo and 95% confidence interval bounds are clamped at 0.AA-OmniscienceAA-Omniscience IndexAA-Omniscience AccuracyAA-Omniscience Hallucination RateAA-Omniscience IndexAA-Omniscience Index (higher is better) measures knowledge reliability and hallucination.

Key facts
How this story was covered

2 outlets in our directory ran this story, first to last over 11 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.

Centre · 1
About this source

Hacker News (Front Page) files mainly under programming. We currently carry 2,008 of its stories. Top-voted stories on Hacker News.

Original article
Hacker News (Front Page)
Read full at Hacker News (Front Page) →

Story provenance

Source · retrieval · rights · ranking — open for full record
inspect →

Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherHacker News (Front Page)
Canonical URLhttps://artificialanalysis.ai/models/claude-opus-5-5
Publication timeTue, 22 Sep 2026 16:51:31 +0000
Retrieval time2026-09-22T17:18:53.315Z
Last seen2026-09-22T17:18:53.315Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterYXQSQkuOkWUD · 2 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Artificial AnalysisKArtificial AnalysisModelsCoding AgentsImage, Speech, VideoInferenceLeaderboardsAboutAI TrendsArenasKAnthropic•Claude Opus 5.5max•Proprietary model•Released September 2026Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) Intelligence, Performance & Price AnalysisCompareTry it out API Provider Benchmarks Model summaryIntelligenceUpdated#1 / 20658Artificial Analysis Intelligence Index4 out of 4 units for Intelligence.SpeedN/AOutput tokens per secondUnknown out of 4 units for Speed.Cost#87 / 206In $4.00Out $20.00Cache Discount 95%$5.98Cost per Intelligence Index task4 out of 4 units for Cost.Verbosity#89 / 206260MOutput tokens from Intelligence Index4 out of 4 units for Verbosity.Comparison SummaryClaude Opus 5.5 (Adaptive Reasoning, Max Effort, Default…

Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (Front Page).

Anonymous · no account needed
Share 𝕏 Facebook Reddit LinkedIn Threads WhatsApp Bluesky Mastodon Email

Discussion

0 comments