Truthful, admits uncertainty, disclaims assumptions, flags nuances and non-sycophantic; percentile rank across all models rated. Artificial Analysis launch article, results as at 19 Oct 2026 (the live leaderboard has grown to 41 models and may differ). No system prompt; 900 private questions; pairwise judging by Gemini 3.8 Flash, Claude Sonnet 5.5 and GLM 5.3 Flash. It measures how strongly a trait shows, not whether it is desirable, and is not a capability benchmark. · source
Pairwise Elo on the Friendly trait, anchor model GPT-6.1 Sol fixed at 1000. Artificial Analysis launch article, results as at 19 Oct 2026 (the live leaderboard has grown to 41 models and may differ). No system prompt; 900 private questions; pairwise judging by Gemini 3.8 Flash, Claude Sonnet 5.5 and GLM 5.3 Flash. It measures how strongly a trait shows, not whether it is desirable, and is not a capability benchmark. · source
| Field | Published value |
|---|---|
| Maker | Anthropic[1] |
| Release | 2026-09-28 |
| Context | 1M tokens |
| Maximum output | 128K tokens; Batch API beta: 300K tokens |
| Inputs / output | Text and images / text |
| Access at launch | Claude[4] API; Amazon Bedrock; Google Cloud; Microsoft Azure |
| API price (input / output) | USD 2 / 10 per 1M tokens |
Artificial Analysis scores reported at launch; the Sonnet 5.5 pre-release deployment had a structured-output bug that was later fixed. · source
| Model | Transparency index | Friendly Elo (95% CI) | Words per reply | Lists per reply | Bold per reply |
|---|---|---|---|---|---|
| Claude Sonnet 5.5 (max with fallback) | 100 | 1041 (1010-1070) | 450 | 2.84 | 9.95 |
| Claude Fable 5.1 (max with fallback) | 97 | 1047 (1014-1076) | 576 | 1.73 | 8.67 |
| GPT-6 Astra (max) | 94 | 1001 (972-1031) | 352 | 1.46 | 8.84 |
| Claude Opus 5.5 (max with fallback) | 88 | 1077 (1049-1107) | 571 | 2.92 | 11.8 |
| Gemini 4 Argon (high) | 18 | 1059 (1030-1087) | 790 | 3.88 | 17.2 |
Words, lists and bold are averages per response over the 900 questions: descriptive, not quality scores. Artificial Analysis launch article, results as at 19 Oct 2026 (the live leaderboard has grown to 41 models and may differ). No system prompt; 900 private questions; pairwise judging by Gemini 3.8 Flash, Claude Sonnet 5.5 and GLM 5.3 Flash. It measures how strongly a trait shows, not whether it is desirable, and is not a capability benchmark. · source
Partial outage now. Partially Degraded Service: Elevated errors affecting the Microsoft 365 connector
From the vendor's own status page. Uptime is the share of the window not covered by a major or critical incident (893 min down, 658 min degraded); it covers the whole service, not this version alone.
Estimate from the version's published specs, benchmarks and reviews, 0-5; scores are only comparable within one criteria year. Scored as launched (Claude Sonnet 5.5, 28 Sep 2026): Artificial Analysis Intelligence Index 56 on v4.3 (max effort, default fallback). Terminal-Bench 4.0 64% as measured by Artificial Analysis (Anthropic's own run: 70.6%). AA tested a pre-release build with a structured-output bug and expects minimal or slightly understated change. 1M-token context; $2 in / $10 out per 1M (about $4 blended). 132.7 output tokens/s on Artificial Analysis (live page, 24 Oct 2026; Anthropic claims 30%+ faster than Sonnet 5). Text and image input. 5 reviews, string-matched.[1]
Claude Sonnet 5.5 (max) makes large strides on Terminal-Bench, sitting among the top models for both Terminal-Bench 4.0 and Terminal-Bench-Science.
Sonnet 5.5 suffered from the same bug as Opus 5.5 : the "max" thinking effort pelican thought for 128,000 tokens (at a cost of $1.28) before running out of tokens and failing to produce an SVG.
On this particular test, at least, the cheaper Sonnet has gone from trailing Opus by a wide margin to essentially tying it.
Sonnet 5.5's gaps against Opus 5.5 show up more clearly outside agentic and knowledge-work tasks.
At the highest effort level, "Max," Sonnet 5.5 actually scores worse on FrontierCode than at "Xhigh."
| Claude Sonnet 5.5 reaches #2 on the Artificial Analysis Intelligence Index · Sep 28, 2026 | 0.60 |
|---|---|
| Claude Sonnet 5.5 · Sep 28, 2026 | -0.40 |
| Anthropic's Claude Sonnet 5.5 nearly matches Opus 5.5 on benchmarks while costing up to 30 percent less per task · Sep 28, 2026 | -0.30 |
| Claude Sonnet 5.5 just launched — here's why it's about to become your daily driver · Sep 29, 2026 | 0.60 |
| Claude Sonnet 5.5 Scores 56 On Artificial Analysis Intelligence Index, 3 Points Ahead Of GPT-6 Astra · Sep 29, 2026 | 0.00 |
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Anthropic's announcement is headed "Claude[4] Sonnet 5.5 September 28, 2026" and says it "is now available on all platforms"; the model page lists "Released September 28, 2026", and TechCrunch[2] (11:00 AM PDT, September 28, 2026) and CNBC[3] ("Anthropic on Monday released") agree.
TechCrunch's same-day report by Lucas Ropek (11:00 AM PDT, September 28, 2026): Anthropic[1] "has released the newest version of Sonnet", about three months after Sonnet 5, with the same cyber safeguards as Fable and Opus, and a new Haiku "in the coming weeks" with no firm date.
CNBC: "Anthropic[1] on Monday released a new AI model called Sonnet 5.5", its second launch since Dario Amodei urged labs to slow frontier progress, at $2 and $10 per million tokens, "half the price of Opus 5.5", with Haiku 5.5 "coming soon".
Anthropic's[1] model page: claude-sonnet-5-5, 1M-token context, 128K max output (300K on the Batch API in beta), adaptive thinking with high default effort, text and images in, a June 2026 knowledge cutoff, cache writes $2.50 and reads $0.20 per million tokens, and five breaking changes from Sonnet 5.
SiliconANGLE's same-day report adds that Sonnet 5.5 carries Anthropic's[1] invisible text watermarking, added to comply with rules including the EU AI Act, and that Haiku 5.5 is planned "in the coming weeks".
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claude-sonnet-5-5 and on Amazon Web Services, Google Cloud and Microsoft Azure with zero data retention, and in GitHub Copilot[1][4][6]| Benchmark | Sonnet 5.5 | Sonnet 5 | Opus 5.5 | GPT-6 Sol |
|---|---|---|---|---|
| Terminal-Bench 4.0 (agentic coding) | 70.6% | 10.3% | 66.4%¹ | — |
| FrontierCode 1.1 (Main) (agentic coding) | 46.2% (Max²), 52.1% (Xhigh) | 42.4% | 54.4% | 49.3% |
| CursorBench 4.0 (agentic coding) | 55.5% | 34.1% | 57.8% | — |
| GDPval-AA v2.1³ (knowledge work) | 1844 | 1449 | 1846 | 1487⁴ |
| AA-Briefcase v1.1³ (knowledge work) | 1811 | 1359 | 1822 | 1483⁴ |
| Humanity's Last Exam (multidisciplinary reasoning) | 64.5% with tools | 54.9% with tools | 67.7% with tools | — |
| OSWorld 2.1 (computer use) | 80.1% partial | 57.0% partial | 81.8% partial | — |
| Chartography (visual chart recognition) | 61.6% no tools | 15.6% no tools | 64.4% no tools | 53.6%⁴ no tools |
¹ Opus 5.5 at Xhigh effort, its highest score. ² Sonnet 5.5 scores lower at Max effort than at Xhigh on FrontierCode, which penalises out-of-scope changes. ³ Run by Artificial Analysis on a pre-release deployment of Sonnet 5.5 with a since-fixed structured-output bug. ⁴ GPT-6 Sol's scores may predate OpenAI's fix of a bug that degraded its image understanding.