Model Detail
Anthropic: Claude 3 Haiku
—Anthropic: Claude 3 Haiku is a multimodal model released by Anthropic. And supports text+image->text inputs.
Anthropic: Claude 3 Haiku is priced at $0.25/M input tokens and $1.25/M output tokens. Operationally the model offers a 200K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.
The published knowledge cutoff is 2023-08-31, so newer events will not be reflected in zero-shot answers without retrieval.
Anthropic: Claude 3 Haiku is best fit for mixed text-and-image reasoning tasks such as document understanding, high-volume batch jobs where per-call cost dominates the budget, and long-context tasks such as full-codebase analysis or book-length summarization (200K tokens). Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Anthropic scales Claude Mythos to critical infrastructure in 15+ countries
Anthropic is expanding Project Glasswing, its security vulnerability program, and access to Mythos to 150 organizations across 15 countries — targeting critical infrastructure in power, water, healthcare, and communications where a cyberattack could affect 100 million people.
Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet
arXiv:2605.29358v1 Announce Type: new Abstract: We demonstrate that sparse autoencoders can extract interpretable features from Claude 3 Sonnet, a production-scale language model, addressing the open question of whether dictionary learning methods scale beyond small transformers. We trained sparse a
Claude’s new model is more ‘honest’ when it messes up
Anthropic is releasing Claude Opus 4.8 on Thursday, and the company is touting the model's "honesty." According to Anthropic, it trains "all [its] models to be honest - for instance, to avoid making claims that they can't support." But it notes that "a general problem with AI models is that they som
Red-Teaming Claude Opus and ChatGPT-based Security Advisors for Trusted Execution Environments
arXiv:2602.19450v3 Announce Type: replace-cross Abstract: Trusted Execution Environments (TEEs) (e.g., Intel SGX and ArmTrustZone) aim to protect sensitive computation from a compromised operating system, yet real deployments remain vulnerable to microarchitectural leakage, side-channel attacks, and
Authority Signals in Claude AI Health Citations: A Descriptive Analysis Using the Authority Signals Framework
arXiv:2605.23921v1 Announce Type: cross Abstract: This study seeks to determine the authority signals used by Anthropic's Claude AI in its presentation of sources when answering consumer health questions. While there exists a great deal of discourse around the quality of health citations that LLMs p
