OpenAI Blog
Anthropic released a new embedding model with improved capabilities and reduced costs. The model offers better performance while lowering the price per query. Organizations using Anthropic's previous embedding models can migrate to the new version for enhanced functionality and efficiency.
We are excited to announce a new embedding model which is significantly more capable, cost effective, and simpler to use.
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Codestral Embed
Mistral AI · 1 year ago
Anthropic launches Claude Sonnet 5 at a steep discount to its top model as the company races toward a blockbuster IPO
TLDR · 2 weeks ago
Improved Batch Inference API: Enhanced UI, Expanded Model Support, and 3000× Rate Limit Increase
Together AI · 10 months ago
Function calling and other API updates
OpenAI Blog · 3 years ago
The daily briefing
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TLDRocket
21 July 2026
The open-weight model wars just got hotter and more complicated. Alibaba's decision to open-source Qwen 3.8 Max, a 2.4-trillion-parameter model, arrives as Kimi K3—Zhipu's 2.8T parameter system—has already claimed the top spot on Frontend Web App Arena with a 1326 Elo rating, outpacing even frontier models on certain benchmarks. Both moves signal that the frontier of capable AI is no longer exclusively held by closed API providers, a shift that's forcing the U.S. administration to consider layered policy restrictions on Chinese open models. Yet technical voices inside and outside government are pushing back, arguing that constraining open-weight systems paradoxically weakens security and competition rather than strengthening either. Meanwhile, the infrastructure problems keeping teams awake have matured: model routing, world modeling for agents, and long-horizon reliability are now first-class concerns, not afterthoughts. Frontier models have even begun solving mathematical problems at superhuman levels—like finding counterexamples to the 3D Jacobian conjecture—suggesting the bottleneck has shifted from raw capability to engineering deployment.
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