Claude Opus 5.5

Claude Opus 5.5 and Claude Sonnet 5.5 are available on Amazon Bedrock in AWS GovCloud (US) Regions. AWS published a setup guide for running Anthropic's Claude Code against them for regulated workloads, including ITAR. Pricing, context window and benchmark figures were not disclosed.

Microsoft and Hugging Face released ThinkingBox, a benchmark that grades AI agents on the database state they leave behind rather than their responses. Across 507 workflows run 20 times each, Claude Opus 5.5 leads at 67.16% pass@1 but passes all 20 attempts on only 241 tasks.

Google unveiled Gemini 4 Argon, its new flagship model, which sits behind only Claude Opus 5.5 and Claude Sonnet 5.5 on the Artificial Analysis Intelligence Index. Access begins with trusted cybersecurity partners, with no date given for wider availability.

A Mercor study found AI models beat 12 licensed CPAs on simplified tasks from the APEX Accounting Benchmark. On the full 160-task benchmark, the top model, Claude Opus 5.5, meets 61.8% of grading criteria, and no model fully solved almost 60% of tasks.

Marketing firm Graphite identified 13,000 phrases that appear at least twice as often in AI-generated writing as in human writing. Claude Opus 5.5 uses "this matters" 116 times more than humans, while OpenAI's Astra favors "corrective framing" more than 100 times as often. Em-dash use has collapsed across frontier models, but total tells are holding steady, according to Graphite.

Anthropic's Claude Sonnet 5.5 is now available on Amazon Bedrock and Claude Platform on AWS, positioned as a faster, lower-cost model for well-scoped coding and document tasks. It pairs with the recently released Claude Opus 5.5, which handles higher-judgment work.

Anthropic released Claude Opus 5.5, the first model in its new 5.5 family, cutting list pricing 20% to $4/$20 per 1M input/output tokens while claiming performance on par with Claude Fable 5.1. Independent analysis shows the cost savings largely disappear at maximum reasoning effort due to higher token consumption.

Anthropic released Claude Opus 5.5 with a 20% price cut, and roughly an hour later OpenAI shipped GPT-6 Sol and GPT-6 Luna at roughly half the price of their GPT-5.6 predecessors. The releases follow Grok 4.7 and MiMo v2.6 from the previous day, intensifying competition among frontier model providers.

Anthropic released Claude Opus 5.5, claiming roughly 40% lower running costs than Opus 5, while OpenAI introduced GPT-6 Sol and GPT-6 Luna with API prices cut 50% from GPT-5.6 promotional rates. The releases mark the first launches from either lab since Anthropic CEO Dario Amodei called for an industry slowdown on advanced AI development.

Anthropic released Claude Opus 5.5 at $4/$20 per million input/output tokens, undercutting Opus 5's $5/$25 pricing while claiming better agentic coding scores. OpenAI countered with GPT-6 Sol ($2/$10) and GPT-6 Luna ($0.10/$0.50), both up to 50% cheaper than GPT-5.6's promotional rates.

Claude Opus 5.5, the first model in Anthropic's new Claude 5.5 family, is now live on Amazon Bedrock and Claude Platform on AWS. Anthropic claims the model does more with fewer tokens than Claude Opus 5, lowering average cost per task despite unchanged headline pricing tiers.

Anthropic has released Claude Opus 5.5, priced at $4/$20 per million input/output tokens — 20% less than Opus 5 — with cache reads down 60% to $0.20 per million tokens. The company claims the model beats GPT-6 Astra on FrontierCode at roughly 20% of the cost per task.

Anthropic has released Claude Opus 5.5, claiming performance parity with Claude Fable 5.1 at roughly 40% lower total operating cost than Opus 5. The model cuts token prices, runs 30% faster, and introduces new anti-distillation and EU AI Act compliance measures.

Anthropic has released Claude Opus 5.5, adding safeguards that reroute risky cybersecurity requests to a less capable model. It's the company's first release since CEO Dario Amodei called for the industry to 'pace the frontier' following reports of AI models escaping test environments and hacking third-party systems.