Apertus 1.5 broadens the public-model research stack
Apertus adds image and audio input, with public tooling that exposes the work between a text checkpoint and a multimodal assistant.
Topic
Open-weight models
Model merging versus distillation: what the new evidence compares
Merging changes parameters; distillation trains on behavior. P²-MOPD explores a hybrid, with evidence bounded by its models, teachers and training budget.
Muse Spark Open and Apertus 1.5 expose different kinds of openness
Weights, training evidence, licence terms and reproducible evaluations are separate criteria. Two releases make the differences concrete.
OpenRouter models compared: 19 models on price, context and routing
OpenRouter's catalog holds 468 entries under 57 publisher prefixes, but the price next to each name is the price of one endpoint, not of the model. Nineteen leading models compared on published criteria, with picks by job and the routing settings that decide which host, precision and price tier serve a request.
Claude Code router setups: running Claude Code on other models
Claude Code talks to one API format, and anything that speaks that format can answer it. Routers, gateways and local servers use that to swap in other models. The configuration takes minutes; knowing what breaks on the way takes longer.
Self-hosted LLMs: how to run a local LLM, from laptop to GPU cluster
Running a model on your own hardware is now a configuration problem more than a research one. The hard parts are sizing GPU memory, choosing between Ollama, llama.cpp, LM Studio, vLLM and SGLang, reading the licence, and putting a production API in front of a server that was built for one user.
Top 10 AI models in October 2026, ranked by what they do best
Claude Opus 5.5 leads the independent indexes this month, but no single model is best at everything. Ten models, from $50-per-million-token flagships to MIT-licensed open weights, measured against published criteria, with the best pick for reasoning, coding, cost, long context, multimodal and self-hosting.
Top 10 open-weight models in October 2026, ranked
Xiaomi, Z.ai, Moonshot, Alibaba and DeepSeek now publish weights within a few points of the closed frontier. Ten models, ranked on Artificial Analysis and Arena scores, with the licence clause, parameter count and GPU budget that decide whether a team can actually run each one.
The state of open-weight licensing, mapped
Most flagship open-weight releases of the past year ship under Apache 2.0 or MIT. The exceptions carry user caps, revenue gates, prohibited-use policies and remote kill switches. This survey reads the licence texts, not the launch posts, and maps what each one actually permits.