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Blue Cross: AI Coding Adds $942M to Hospital Bills

Blue Cross: AI Coding Adds $942M to Hospital Bills

A Blue Cross Blue Shield Association analysis of claims covering a third of Americans found hospitals' AI coding tools added $942 million in costs over two years with no matching change in patient care.

Anthropic Founders Seek 50.1% Votes on 2% Stakes

Anthropic Founders Seek 50.1% Votes on 2% Stakes

Anthropic's seven co-founders want permanent majority voting control before the IPO, while owning about 2% of the company each - a structure that puts them at odds with the Trust, labor investors, and index funds.

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Reviews

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GPT-6 Astra Review: Genius Benchmarks, Thin Trust

GPT-6 Astra Review: Genius Benchmarks, Thin Trust

OpenAI's most capable model yet tops cybersecurity and agentic benchmarks, but a rocky rollout, user complaints of degraded output, and its own system card's warnings about hidden reasoning complicate the launch.

Leaderboards

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Models

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GPT-6 Astra

GPT-6 Astra

OpenAI's frontier GPT-6 Astra tops FrontierMath, ARC-AGI-3, and ExploitBench, but it's the first OpenAI model to cross the Critical cybersecurity threshold with a documented drop in chain-of-thought monitorability.

Bonsai 1.7B

Bonsai 1.7B

PrismML's smallest Bonsai checkpoint compresses Qwen3-1.7B under 0.5GB, and now powers the vision-language model behind Qualcomm's Snapdragon AR1 smart glasses demo.

GPT-5 mini

GPT-5 mini

OpenAI's original cost-efficient GPT-5 variant pairs a 400K context window with $0.25/$2.00 per million token pricing, still doing quiet duty as a cheap backbone for research agents a year after launch.

Recent

Claude Opus 4.5

Claude Opus 4.5

Anthropic's November 2025 flagship model delivers top SWE-bench scores, a new effort parameter for reasoning control, and a 66% price cut from its predecessor.

Claude Haiku 4.5

Claude Haiku 4.5

Anthropic's fastest and most cost-efficient model, delivering 73.3% on SWE-bench Verified and first-in-family extended thinking and computer use at $1/$5 per million tokens.

GPT-OSS 20B

GPT-OSS 20B

OpenAI's open-weight 21B MoE reasoning model with 131K context, Apache 2.0 license, and o3-mini-level benchmark performance running in 16 GB of memory.

Gemini 2.5 Pro

Gemini 2.5 Pro

Google DeepMind's flagship thinking model with 1M-token context, 84% GPQA Diamond, and native multimodal understanding of text, images, audio, and video.

OpenAI o3-pro

OpenAI o3-pro

OpenAI's maximum-compute reasoning model targets the hardest problems where o3 falls short, at $20/$80 per million tokens.

OpenAI o3

OpenAI o3

OpenAI's most advanced reasoning model, built for math, science, coding, and visual tasks, with 200K context and adaptive chain-of-thought at $2/$8 per million tokens.

OpenAI o4-mini

OpenAI o4-mini

OpenAI o4-mini is a fast, cost-efficient reasoning model in the o-series, delivering near-o3 performance on math and coding benchmarks at roughly 10x lower cost.

GPT-4.1

GPT-4.1

OpenAI's coding-optimized API model with a 1M token context window, 54.6% SWE-bench Verified score, and $2/$8 per million token pricing.

Claude 3.7 Sonnet

Claude 3.7 Sonnet

Anthropic's first hybrid reasoning model with togglable extended thinking, a 200K context window, and state-of-the-art SWE-bench performance at $3/$15 per million tokens.