LLM

OpenAI has released GPT-5.6 Terra Pro, a variant of GPT-5.6 Terra configured with enhanced reasoning capabilities for complex tasks. The model features a 1 million token context window and is priced at $2.50 per million input tokens and $15 per million output tokens.

Base44, the vibe coding platform acquired by Wix for $80 million in 2025, has released Base1, a custom LLM trained on tens of millions of user interactions. The company claims the model will eventually outperform frontier models through optimization for latency, cost, and efficiency specific to app creation workflows.

IBM released Granite 4.1, a family of dense decoder-only LLMs (3B, 8B, 30B parameters) trained on approximately 15 trillion tokens using a five-phase pre-training pipeline. The 8B instruct model matches or surpasses the previous Granite 4.0-H-Small (32B-A9B MoE) despite using fewer parameters and a simpler dense architecture. All models support up to 512K context windows and are released under Apache 2.0 license.

DeepSeek released a preview of its V4 large language model on April 24, 2026, available in 'pro' and 'flash' versions. The Hangzhou-based company claims the open-source model achieves strong performance on agent-based tasks and has been optimized for tools like Anthropic's Claude Code and OpenClaw.

OpenRouter has released Elephant Alpha, a 100B-parameter text model with a 256K context window and 32K output token limit. The model is available at no cost through OpenRouter's platform, supporting function calling, structured output, and prompt caching.