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Kimi K3's Cyber Gap Feeds the Anthropic Theft Theory

Kimi K3's Cyber Gap Feeds the Anthropic Theft Theory

UK AISI and US CAISI found Kimi K3 scores 32.2% on an exploit-development benchmark against 76.2% for top US models, a gap that complicates both White House alarm and its own distillation accusation against Moonshot.

A Memory Shortage Triggered $950B in AI Deals

A Memory Shortage Triggered $950B in AI Deals

Nvidia, SK Group, Samsung and Broadcom signed close to a trillion dollars in AI chip and memory deals in San Francisco, and the memory shortage behind them means someone outside the room ends up paying.

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Models

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POCKET-35B

POCKET-35B

VIDRAFT quantizes its Darwin-36B-Opus MoE model into a 35B GGUF that runs on stock llama.cpp with no GPU, trading GPQA Diamond score for CPU and phone portability.

Claude Opus 5

Claude Opus 5

Anthropic's July 2026 release prices near-Fable-5 coding and agentic performance at Opus 4.8 rates, doubling Frontier-Bench scores and landing within 0.5 points of Fable 5 on CursorBench at half the cost.

SWE-1.7

SWE-1.7

Cognition's proprietary coding model powering Devin, scoring 42.3% on FrontierCode 1.1 Main at $1.97/task via Cerebras inference at 1000 tokens/sec.

Recent

Google Gemma 3 27B

Google Gemma 3 27B

Google Gemma 3 27B is a 27B dense multimodal model supporting text and vision with a 128K context window, 140+ languages, and single-GPU deployment - the most capable open model at its size class.

GPT-4o mini

GPT-4o mini

OpenAI's budget API workhorse pairs 128K context with $0.15/$0.60 per million token pricing, solid coding benchmarks, and the broadest third-party ecosystem of any small model.

Llama 4 Maverick

Llama 4 Maverick

Meta's Llama 4 Maverick packs 400B total parameters into a 128-expert MoE architecture with only 17B active per token, beating GPT-4o on Chatbot Arena while matching DeepSeek V3 on reasoning at half the active parameters.

Llama 4 Scout

Llama 4 Scout

Meta's Llama 4 Scout is a 109B-total, 17B-active MoE model with 16 experts and a 10M-token context window - the longest of any open-weight model - with native multimodal support for text and images.

Microsoft Phi-4

Microsoft Phi-4

Microsoft's 14B dense transformer that consistently beats models 5x its size on MATH and GPQA, available under the MIT license for unrestricted commercial use.

Mistral Large 3

Mistral Large 3

Mistral Large 3 is a 675B-parameter MoE model activating 41B per token with native multimodal support, a 256K context window, and Apache 2.0 licensing - Europe's first frontier-class open-weight model.

Mistral Small 3.2

Mistral Small 3.2

Mistral Small 3.2 is a 24B dense model with strong function calling, multimodal vision, and 128K context under Apache 2.0 - optimized for production tool-use pipelines and EU-compliant deployments.

Nemotron 3 Nano 30B-A3B

Nemotron 3 Nano 30B-A3B

NVIDIA's hybrid Mamba2+MoE model packs 31.6B total parameters but activates only 3.2B per token, delivering frontier-class reasoning with 3.3x the throughput of comparable models on a single H200 GPU.